instance_id stringlengths 15 28 | file_changes listlengths 1 66 | repo stringclasses 11
values | base_commit stringlengths 40 40 | problem_statement stringlengths 23 39.4k | patch stringlengths 252 140k |
|---|---|---|---|---|---|
Project-MONAI__MONAI-4282 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/networks/layers/spatial_transforms.py:AffineTransform.__init__",
"monai/networks/layers/spatial_transforms.py:AffineTransform.forward"
],
"edited_modules": [
"monai/net... | Project-MONAI/MONAI | f4ff8e2a07b5af29a62ef6ed14b92bd6806adc61 | Inconsistency networks.layer.AffineTransform and transforms.Affine
Hello,
**Describe the bug**
Applying the same affine transformation using networks.layer.AffineTransform and transforms.Affine seems to lead to different result. The layer seems to introduce an unwanted shear.
**To Reproduce**
Steps to reproduce... | diff --git a/monai/networks/layers/spatial_transforms.py b/monai/networks/layers/spatial_transforms.py
--- a/monai/networks/layers/spatial_transforms.py
+++ b/monai/networks/layers/spatial_transforms.py
@@ -420,6 +420,7 @@ def __init__(
padding_mode: Union[GridSamplePadMode, str] = GridSamplePadMode.ZEROS,
... |
Project-MONAI__MONAI-2288 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/data/utils.py:decollate_batch"
],
"edited_modules": [
"monai/data/utils.py:decollate_batch"
]
},
"file": "monai/data/utils.py"
}
] | Project-MONAI/MONAI | 51e47900d71dbc8e1250ba17ffa802fda50ad71e | decollate needs to support more types
**Is your feature request related to a problem? Please describe.**
Currently, the `decollate_batch` API only supports `dict` data, need to support at least `list` type.
| diff --git a/monai/data/utils.py b/monai/data/utils.py
--- a/monai/data/utils.py
+++ b/monai/data/utils.py
@@ -288,10 +288,10 @@ def list_data_collate(batch: Sequence):
raise TypeError(re_str)
-def decollate_batch(data: dict, batch_size: Optional[int] = None) -> List[dict]:
+def decollate_batch(data: Union... |
Project-MONAI__MONAI-1107 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/networks/nets/ahnet.py:AHNet.__init__",
"monai/networks/nets/ahnet.py:AHNet.copy_from"
],
"edited_modules": [
"monai/networks/nets/ahnet.py:AHNet"
]
},
"f... | Project-MONAI/MONAI | 9d17f3b11b338087698358ab10ee26d6fa3b9f43 | AHNet can't support input channels > 1
**Describe the bug**
I found that the AHNet implementation hard-code input channels to 1 for the first conv layer, need to support multi-channels.
| diff --git a/monai/networks/nets/ahnet.py b/monai/networks/nets/ahnet.py
--- a/monai/networks/nets/ahnet.py
+++ b/monai/networks/nets/ahnet.py
@@ -354,6 +354,7 @@ class AHNet(nn.Module):
Args:
layers: number of residual blocks for 4 layers of the network (layer1...layer4). Defaults to ``(3, 4, 6, 3)``.
... |
Project-MONAI__MONAI-3325 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/apps/deepgrow/transforms.py:SpatialCropGuidanced.__call__"
],
"edited_modules": [
"monai/apps/deepgrow/transforms.py:SpatialCropGuidanced"
]
},
"file": "monai/app... | Project-MONAI/MONAI | 4c2c1dce6e668cfbe831f3cf17ba5432b78bb7a1 | RandAffined fails with KeyError when allow_missing_keys and key at index 0 is missing
**Describe the bug**
We have a pipeline in which not all samples have the same keys.
The `RandAffined` transform accesses fallback data via index 0.
If index 0 is a missing key, then this transform will fail with a `KeyError`.
`... | diff --git a/monai/apps/deepgrow/transforms.py b/monai/apps/deepgrow/transforms.py
--- a/monai/apps/deepgrow/transforms.py
+++ b/monai/apps/deepgrow/transforms.py
@@ -9,7 +9,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import json
-from typing import Cal... |
Project-MONAI__MONAI-4479 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/data/grid_dataset.py:GridPatchDataset.__init__",
"monai/data/grid_dataset.py:GridPatchDataset.__iter__"
],
"edited_modules": [
"monai/data/grid_dataset.py:GridPatchData... | Project-MONAI/MONAI | 96c6cc3104dec742bc5933cadfa104c1fdf7e176 | shufflebuffer is not compatible with the dataloader
**Describe the bug**
```py
import monai
buffer = monai.data.ShuffleBuffer([1,2,3,4])
for x in monai.data.DataLoader(buffer, batch_size=2):
print(x)
```
```
for x in monai.data.DataLoader(buffer, batch_size=2):
File "/Users/Documents/MONAI/monai/... | diff --git a/monai/data/grid_dataset.py b/monai/data/grid_dataset.py
--- a/monai/data/grid_dataset.py
+++ b/monai/data/grid_dataset.py
@@ -187,23 +187,19 @@ def __init__(
) -> None:
super().__init__(data=data, transform=None)
self.patch_iter = patch_iter
- self.transform = transform
+ ... |
Project-MONAI__MONAI-6560 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/bundle/workflows.py:ConfigWorkflow._check_optional_id"
],
"edited_modules": [
"monai/bundle/workflows.py:ConfigWorkflow"
]
},
"file": "monai/bundle/workflows.py"
... | Project-MONAI/MONAI | 9d6ccce3d46d64b3ffe289349f50323bd0a1b6eb | Enhance `check_properties` in `monai.bundle.workflows`
Currently, it may not work on some optional property cases.
According to:
https://github.com/Project-MONAI/MONAI/blob/9d6ccce3d46d64b3ffe289349f50323bd0a1b6eb/monai/bundle/workflows.py#L381
It compares `ref` and `ID_REF_KEY + id`, it works on normal cases. H... | diff --git a/monai/bundle/workflows.py b/monai/bundle/workflows.py
--- a/monai/bundle/workflows.py
+++ b/monai/bundle/workflows.py
@@ -378,7 +378,8 @@ def _check_optional_id(self, name: str, property: dict) -> bool:
ref = h.get(ref_id, None)
else:
ref = self.parser.get(ref... |
Project-MONAI__MONAI-6308 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/networks/blocks/selfattention.py:SABlock.__init__",
"monai/networks/blocks/selfattention.py:SABlock.forward"
],
"edited_modules": [
"monai/networks/blocks/selfattention... | Project-MONAI/MONAI | 0a29bc197ffd2e02fdfffb20088ae4f43245f82d | Access self-attention matrix of vision transformer
**Is your feature request related to a problem? Please describe.**
I am training a vision transformer using monai and would like to carry out some interpretability analysis. However, the current model code does not save the self-attention matrix during training, and i... | diff --git a/monai/networks/blocks/selfattention.py b/monai/networks/blocks/selfattention.py
--- a/monai/networks/blocks/selfattention.py
+++ b/monai/networks/blocks/selfattention.py
@@ -25,13 +25,21 @@ class SABlock(nn.Module):
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://ar... |
Project-MONAI__MONAI-3532 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/apps/datasets.py:MedNISTDataset.__init__",
"monai/apps/datasets.py:DecathlonDataset.__init__"
],
"edited_modules": [
"monai/apps/datasets.py:MedNISTDataset",
"m... | Project-MONAI/MONAI | 08f9bac8b1bc304ee4d61d32e060eb1c3646da3a | Missing `copy_cache` and `progress` args in several subclass of CacheDataset
**Is your feature request related to a problem? Please describe.**
We added `copy_cache` and `progress` args in `CacheDataset` for better performance and user experience:
https://github.com/Project-MONAI/MONAI/blob/dev/monai/data/dataset.py#... | diff --git a/monai/apps/datasets.py b/monai/apps/datasets.py
--- a/monai/apps/datasets.py
+++ b/monai/apps/datasets.py
@@ -51,6 +51,12 @@ class MedNISTDataset(Randomizable, CacheDataset):
will take the minimum of (cache_num, data_length x cache_rate, data_length).
num_workers: the number of worker... |
Project-MONAI__MONAI-5486 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/networks/nets/netadapter.py:NetAdapter.forward"
],
"edited_modules": [
"monai/networks/nets/netadapter.py:NetAdapter"
]
},
"file": "monai/networks/nets/netadapter... | Project-MONAI/MONAI | 044295e31362da8fdbdaa14a84a1fb1969a69248 | `NetAdapter` now does not support torchscript
When I tried to update `pathology_tumor_detection` bundle to use monai 1.0.1, it raised torchscript error like:
```
RuntimeError:
Unknown type name 'dict':
File "/home/venn/Desktop/monai-code/test_model_zoo/lib/python3.8/site-packages/monai/networks/nets/netadapter.py... | diff --git a/monai/networks/nets/netadapter.py b/monai/networks/nets/netadapter.py
--- a/monai/networks/nets/netadapter.py
+++ b/monai/networks/nets/netadapter.py
@@ -107,7 +107,7 @@ def forward(self, x):
x = self.features(x)
if isinstance(x, tuple):
x = x[0] # it might be a namedtuple s... |
Project-MONAI__MONAI-7025 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/transforms/intensity/array.py:RandShiftIntensity.__init__",
"monai/transforms/intensity/array.py:RandShiftIntensity.randomize",
"monai/transforms/intensity/array.py:RandShiftIntens... | Project-MONAI/MONAI | 2539266c09aa5817c61e1b97ffb045e8e6b82520 | Add channel_wise option to RandShiftIntensity and RandScaleIntensity
It is very common practice to independently augment intensities of separate modalities. Yet currently RandShiftIntensity and RandScaleIntensity do not have this option, and instead randomly shift/scale along all channels at once.
It is noteworthy... | diff --git a/monai/transforms/intensity/array.py b/monai/transforms/intensity/array.py
--- a/monai/transforms/intensity/array.py
+++ b/monai/transforms/intensity/array.py
@@ -255,7 +255,9 @@ class RandShiftIntensity(RandomizableTransform):
backend = [TransformBackends.TORCH, TransformBackends.NUMPY]
- def _... |
Project-MONAI__MONAI-3469 | [
{
"changes": {
"added_entities": [
"monai/transforms/intensity/array.py:ScaleIntensityRangePercentiles._normalize"
],
"added_modules": null,
"edited_entities": [
"monai/transforms/intensity/array.py:ScaleIntensityRangePercentiles.__init__",
"monai/transforms/inten... | Project-MONAI/MONAI | 89f0bd488851bfb012541ad6344cf0fbba9f9431 | `NormalizeIntensity` docstring error
docstring of `channel_wise` is wrong, and it may mislead users that this parameter only works when subtrahend and divisor are not provided.
| diff --git a/monai/transforms/intensity/array.py b/monai/transforms/intensity/array.py
--- a/monai/transforms/intensity/array.py
+++ b/monai/transforms/intensity/array.py
@@ -608,8 +608,8 @@ class NormalizeIntensity(Transform):
subtrahend: the amount to subtract by (usually the mean).
divisor: the amo... |
Project-MONAI__MONAI-6781 | [
{
"changes": {
"added_entities": [
"monai/data/meta_tensor.py:MetaTensor._handle_batched"
],
"added_modules": null,
"edited_entities": [
"monai/data/meta_tensor.py:MetaTensor.update_meta"
],
"edited_modules": [
"monai/data/meta_tensor.py:MetaTensor"
... | Project-MONAI/MONAI | c62fac1eeb9cbf59ba3e499c3f612a348b2571da | boolean indexing of batched metatensor
**Describe the bug**
```py
import torch
from monai.data import MetaTensor
data = MetaTensor(torch.zeros([2, 96, 96]))
data.is_batch = True
mask = torch.tensor([True, False])
print(data[mask].shape)
```
```
Traceback (most recent call last):
File "/Users/Docume... | diff --git a/monai/data/meta_tensor.py b/monai/data/meta_tensor.py
--- a/monai/data/meta_tensor.py
+++ b/monai/data/meta_tensor.py
@@ -202,7 +202,7 @@ def update_meta(rets: Sequence, func, args, kwargs) -> Sequence:
:py:func:`MetaTensor._copy_meta`).
"""
out = []
- metas = None
+ ... |
Project-MONAI__MONAI-6127 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"monai/apps/detection/transforms/dictionary.py:RandCropBoxByPosNegLabeld.__init__"
],
"edited_modules": [
"monai/apps/detection/transforms/dictionary.py:RandCropBoxByPosNegLabeld"
... | Project-MONAI/MONAI | f754928bb220bda15f059779a5c45ca04a05ad5a | RandCropByLabelClasses, internal variable "ratios" is mutated
In the cropping transform RandCropByLabelClasses, if a user specified "ratios" (a probability of sampling from each class), that variable mutated during training, on this line
https://github.com/Project-MONAI/MONAI/blob/ab800d8413df5680161ea00fb3d6c1a7a... | diff --git a/monai/apps/detection/transforms/dictionary.py b/monai/apps/detection/transforms/dictionary.py
--- a/monai/apps/detection/transforms/dictionary.py
+++ b/monai/apps/detection/transforms/dictionary.py
@@ -1071,7 +1071,7 @@ def __init__(
if len(self.image_keys) != len(self.meta_keys):
rai... |
modin-project__modin-6844 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/metadata/dtypes.py:DtypesDescriptor._merge_dtypes"
],
"edited_modules": [
"modin/core/dataframe/pandas/metadata/dtypes.py:DtypesDescriptor"
]
},... | modin-project/modin | 7ef544f4467ddea18cfbb51ad2a6fcbbb12c0db3 | BUG: Using Concat to Merge Two GroupBy DataFrames
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [ ] I have confirmed this bug exists on the main branch of Modin. (In order to do this... | diff --git a/modin/core/dataframe/pandas/metadata/dtypes.py b/modin/core/dataframe/pandas/metadata/dtypes.py
--- a/modin/core/dataframe/pandas/metadata/dtypes.py
+++ b/modin/core/dataframe/pandas/metadata/dtypes.py
@@ -517,7 +517,7 @@ def _merge_dtypes(
if dtypes_are_unknown:
return DtypesDescri... |
modin-project__modin-6267 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.astype"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
},
... | modin-project/modin | e987314820f4483ca00a5a2e19fdd88060e4a743 | BUG: ValueError: buffer source array is read-only
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you c... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -27,6 +27,7 @@
from pandas._libs.lib import no_default
from typing import List, Hash... |
modin-project__modin-6788 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._compute_tree_reduce_metadata"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDat... | modin-project/modin | 2fee14409bfda6661b8fcccbb33f3c93ae17204f | TypeError: data type 'Int64' not understood
This problem will affect a fairly large part of the code, since we everywhere expect that the type exists in the numpy, but it does not.
However, the fix for this problem looks quite simple; we need to create a utility that will take into account the possible absence of a ... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -1960,7 +1960,8 @@ def _compute_tree_reduce_metadata(self, axis, new_parts, dtypes=Non... |
modin-project__modin-6737 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/binary.py:coerce_int_to_float64",
"modin/core/dataframe/algebra/binary.py:maybe_compute_dtypes_common_cast",
"modin/core/dataframe/algebra/binary.py:try_comp... | modin-project/modin | 8a332c1597c54d36f7ccbbd544e186b689f9ceb1 | BUG: `__truediv__` between boolean and float has incorrect result type
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In o... | diff --git a/modin/core/dataframe/algebra/binary.py b/modin/core/dataframe/algebra/binary.py
--- a/modin/core/dataframe/algebra/binary.py
+++ b/modin/core/dataframe/algebra/binary.py
@@ -24,36 +24,12 @@
from .operator import Operator
-def coerce_int_to_float64(dtype: np.dtype) -> np.dtype:
- """
- Coerce dty... |
modin-project__modin-6775 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/utils.py:concatenate"
],
"edited_modules": [
"modin/core/dataframe/pandas/utils.py:concatenate"
]
},
"file": "modin/core/dataframe/pandas/ut... | modin-project/modin | 552cad8aed0e08bb81e2a634188050b705b194d5 | BUG: ValueError: putmask: output array is read-only
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [ ] I have confirmed this bug exists on the main branch of Modin. (In order to do th... | diff --git a/modin/core/dataframe/pandas/utils.py b/modin/core/dataframe/pandas/utils.py
--- a/modin/core/dataframe/pandas/utils.py
+++ b/modin/core/dataframe/pandas/utils.py
@@ -44,4 +44,8 @@ def concatenate(dfs):
i, pandas.Categorical(df.iloc[:, i], categories=union.categories)
)
# ... |
modin-project__modin-6488 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/base/query_compiler.py:BaseQueryCompiler.query"
],
"edited_modules": [
"modin/core/storage_formats/base/query_compiler.py:BaseQueryCompiler"
]
},... | modin-project/modin | 781fed8152a6e0a6fcae9cab5604644577103a5f | query and eval: accessing column data by position raises errors
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: macOS 12.2.1
- **Modin version** (`modin.__version__`): 0.15.0+7.g4ec7f634
- **Python version**: 3.9.12
- **Code we can use to reproduce**:
```
import pandas as pd
... | diff --git a/modin/core/storage_formats/base/query_compiler.py b/modin/core/storage_formats/base/query_compiler.py
--- a/modin/core/storage_formats/base/query_compiler.py
+++ b/modin/core/storage_formats/base/query_compiler.py
@@ -2343,25 +2343,6 @@ def fillna(df, value, **kwargs):
return DataFrameDefault.re... |
modin-project__modin-6043 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/series.py:Series.str"
],
"edited_modules": [
"modin/pandas/series.py:Series"
]
},
"file": "modin/pandas/series.py"
},
{
"changes": {
"added_e... | modin-project/modin | a9a9713d82c6ce486a9cb4e521df5d7a4ed743de | Implement `Series.str` through `CachedAccessor` as it done for `Series.sparse`
| diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -39,6 +39,7 @@
from .iterator import PartitionIterator
from .utils import from_pandas, is_scalar, _doc_binary_op, cast_function_modin2pandas
from .accessor import CachedAccessor, SparseAccessor
+... |
modin-project__modin-7018 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.to_hdf"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
},
{
"changes... | modin-project/modin | 7a5919e285df2597664c0ae2927ae5d2c769bf76 | Align `to_hdf` and `hist` signatures to pandas
| diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -16,7 +16,7 @@
import pickle as pkl
import re
import warnings
-from typing import Any, Hashable, Optional, Sequence, Union
+from typing import Any, Hashable, Literal, Optional, Sequence, Union
import ... |
modin-project__modin-7205 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": null
},
"file": "modin/config/__init__.py"
},
{
"changes": {
"added_entities": null,
"added_modules": [
"modin/config/envvars.py:RayInitCustomResou... | modin-project/modin | e9dbcc127913db77473a83936e8b6bb94ef84f0d | Use custom resources for Ray to schedule a task on a concrete node
It would be helpful to provide an ability to specify custom resources for Ray to be able to schedule a task on a concrete node. E.g., one can provide a related config to use it when scheduling a remote task.
**How it could work**
```python
import m... | diff --git a/modin/config/__init__.py b/modin/config/__init__.py
--- a/modin/config/__init__.py
+++ b/modin/config/__init__.py
@@ -47,8 +47,10 @@
ProgressBar,
RangePartitioning,
RangePartitioningGroupby,
+ RayInitCustomResources,
RayRedisAddress,
RayRedisPassword,
+ RayTaskCustomResources... |
modin-project__modin-6759 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.concat"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
},
... | modin-project/modin | 0ba2a46218ecbc6f4b7d0d9e54c25e437e5e0b23 | Merge partial dtype caches on `concat(axis=0)`
we could have merged 'known_dtypes':
```python
import modin.pandas as pd
import numpy as np
from modin.core.dataframe.pandas.metadata import ModinDtypes, DtypesDescriptor
df1 = pd.DataFrame({"a": [1, 2, 3], "b": [3, 4, 5]})
df2 = pd.DataFrame({"a": [3.0, 4.0, 5.4],... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -3688,16 +3688,7 @@ def _compute_new_widths():
new_index = self.index... |
modin-project__modin-6608 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._apply_func_to_range_partitioning",
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.sort_by"
],
... | modin-project/modin | 22ce95e78b4db2f21d5940cbd8ee656e7e565d15 | BUG: `.sort_values()` may break column widths cache if the data size is small
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch o... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -2380,7 +2380,7 @@ def combine_and_apply(
)
def _apply_func_to_range_p... |
modin-project__modin-6333 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.groupby_reduce"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]... | modin-project/modin | f32a9bda4be075e9c5c99252bfeeb23d5d135d4c | Call `_filter_empties` only if shapes are different on particular axis
This reduces the number of situations where the dimension of the partitions does not match between the group object and the object that is passed in `by` parameter.
| diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -3606,7 +3606,8 @@ def groupby_reduce(
if by_parts is not None:
... |
modin-project__modin-6613 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/groupby.py:SeriesGroupBy._try_get_str_func"
],
"edited_modules": [
"modin/pandas/groupby.py:SeriesGroupBy"
]
},
"file": "modin/pandas/groupby.py"
}
] | modin-project/modin | 02b1323175b32906e8a64d991d35cb950ee8a90d | BUG: Cannot use a UDF in a list of `groupby.agg` functions
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order t... | diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -1824,14 +1824,13 @@ def _try_get_str_func(self, fn):
Returns
-------
str, list
- If `fn` is a callable, return its name if it's a method of the groupby
- ... |
modin-project__modin-6481 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._set_columns"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
... | modin-project/modin | 3b3bba9a83b6bec35e86826800004987afe24d47 | Skip actual `._set_index()` if the new index is identical to the previous one
If the new labels are identical to the previous ones, we can skip the `._set_index()` logic
https://github.com/modin-project/modin/blob/3b3bba9a83b6bec35e86826800004987afe24d47/modin/core/dataframe/pandas/dataframe/dataframe.py#L567-L570
th... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -579,6 +579,15 @@ def _set_columns(self, new_columns):
The new column labe... |
modin-project__modin-6275 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/default2pandas/default.py:DefaultMethod.register"
],
"edited_modules": [
"modin/core/dataframe/algebra/default2pandas/default.py:DefaultMethod"
]
... | modin-project/modin | c9f7f6506a5b7503bcd9ec9b9a08d6a008747a52 | BUG: since pandas 2.0, median(axis=None) gives median over entire frame in pandas but not in modin
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists ... | diff --git a/modin/core/dataframe/algebra/default2pandas/default.py b/modin/core/dataframe/algebra/default2pandas/default.py
--- a/modin/core/dataframe/algebra/default2pandas/default.py
+++ b/modin/core/dataframe/algebra/default2pandas/default.py
@@ -128,6 +128,10 @@ def applyier(df, *args, **kwargs):
... |
modin-project__modin-7152 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.astype"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
},
... | modin-project/modin | fe57e19c32b12cd62bdf4136d83a978d2bd93af1 | `test_series.py::test_astype` failed due to different exception messages
Found in https://github.com/modin-project/modin/pull/6954
| diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -1625,7 +1625,7 @@ def astype(self, col_dtypes, errors: str = "raise"):
Par... |
modin-project__modin-6969 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/groupby.py:DataFrameGroupBy.first",
"modin/pandas/groupby.py:DataFrameGroupBy.last"
],
"edited_modules": [
"modin/pandas/groupby.py:DataFrameGroupBy"
]
... | modin-project/modin | e36749008fdf277d08f01c5dc675edb1b8d62512 | Add `skipna` parameter to some `groupby` and `resample` methods
Pandas added `skipna` parameter to some groupby methods in their patch release 2.2.1:
https://pandas.pydata.org/pandas-docs/version/2.2.1/whatsnew/v2.2.1.html#other
Because of that, our API equality testing fails:
https://github.com/modin-project/modi... | diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -682,17 +682,17 @@ def dtypes(self):
)
)
- def first(self, numeric_only=False, min_count=-1):
+ def first(self, numeric_only=False, min_count=-1, skipna=True):
... |
modin-project__modin-5940 | [
{
"changes": {
"added_entities": [
"modin/core/io/sql/sql_dispatcher.py:SQLDispatcher._is_supported_sqlalchemy_object"
],
"added_modules": null,
"edited_entities": [
"modin/core/io/sql/sql_dispatcher.py:SQLDispatcher.write"
],
"edited_modules": [
"modi... | modin-project/modin | e1d42410c3900f93be420303e745de29c1e6bda1 | BUG: passing connection object to to_sql causes "can not pickle" error
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: windows server
- **Modin version** (`modin.__version__`): 0.12.1
- **Python version**:3.8.12
- **Code we can use to reproduce**: may be
<!--
You can obtain... | diff --git a/modin/core/io/sql/sql_dispatcher.py b/modin/core/io/sql/sql_dispatcher.py
--- a/modin/core/io/sql/sql_dispatcher.py
+++ b/modin/core/io/sql/sql_dispatcher.py
@@ -110,6 +110,17 @@ def _read(cls, sql, con, index_col=None, **kwargs):
new_frame.synchronize_labels(axis=0)
return cls.query_comp... |
modin-project__modin-7158 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/default2pandas/default.py:DefaultMethod.register"
],
"edited_modules": [
"modin/core/dataframe/algebra/default2pandas/default.py:DefaultMethod"
]
... | modin-project/modin | 0eb70831a04a772caab1b017c5fa2856af10799a | AttributeError: 'PandasQueryCompiler' object has no attribute 'series_corr'
Repr:
```python
import modin.pandas as pd
pd.Series([1,2,3,4]).corr(pd.Series([2,3,4,5]), method="kendall")
```
Traceback:
```python
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\projects\modin\m... | diff --git a/modin/core/dataframe/algebra/default2pandas/default.py b/modin/core/dataframe/algebra/default2pandas/default.py
--- a/modin/core/dataframe/algebra/default2pandas/default.py
+++ b/modin/core/dataframe/algebra/default2pandas/default.py
@@ -127,6 +127,7 @@ def applyier(df, *args, **kwargs):
a... |
modin-project__modin-6757 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.apply_full_axis_select_indices"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDa... | modin-project/modin | 0ba2a46218ecbc6f4b7d0d9e54c25e437e5e0b23 | Preserve dtypes cache on `df.insert(scalar)`
it currently loses all dtypes on an insertion
```python
import modin.pandas as pd
df = pd.DataFrame({"a": [1, 2, 3]})
df.insert(loc=1, column="b", value=10)
# known dtypes: {};
# cols with unknown dtypes: ['a', 'b'];
print(df._query_compiler._modin_frame._dtypes)
... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -2804,6 +2804,7 @@ def apply_full_axis_select_indices(
new_index=None,
... |
modin-project__modin-6426 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler"
]
},
"file": "modin/core/storage_formats/pandas/query_compiler.py"
}
] | modin-project/modin | 0e0a2e65df895fb69b41efc318d26996ad3e23fe | BUG: `Series.str.find/index` puts incorrect dtype value into cache
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In... | diff --git a/modin/core/storage_formats/pandas/query_compiler.py b/modin/core/storage_formats/pandas/query_compiler.py
--- a/modin/core/storage_formats/pandas/query_compiler.py
+++ b/modin/core/storage_formats/pandas/query_compiler.py
@@ -1804,10 +1804,10 @@ def isin_func(df, values):
str_contains = Map.register(_... |
modin-project__modin-6547 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.apply_select_indices"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
... | modin-project/modin | abe20a57b82ae366b2394171d1a7dd50ca1b9cb9 | `df[existing_cols] = df` should compute result dtypes where possible
Example:
```python
import modin.pandas as pd
df = pd.DataFrame([[1,2,3,4], [5,6,7,8]])
print(df._query_compiler._modin_frame.has_materialized_dtypes) # True
df2 = pd.DataFrame([[9,9], [5,5]])
print(df2._query_compiler._modin_frame.has_mater... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -2804,6 +2804,7 @@ def apply_select_indices(
col_labels=None,
new_in... |
modin-project__modin-6986 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": null
},
"file": "modin/config/__init__.py"
},
{
"changes": {
"added_entities": [
"modin/config/envvars.py:DocModule.put"
],
"added_modules": ... | modin-project/modin | 9adaf3396cd88b1cc1ab25a72d4373d874cc6069 | Documentation plugin
Right now, we always use pandas docstrings, but it would be useful to support different docstrings for different engines to indicate things like supported parameters and examples.
| diff --git a/modin/config/__init__.py b/modin/config/__init__.py
--- a/modin/config/__init__.py
+++ b/modin/config/__init__.py
@@ -22,6 +22,7 @@
CIAWSSecretAccessKey,
CpuCount,
DaskThreadsPerWorker,
+ DocModule,
DoUseCalcite,
Engine,
EnvironmentVariable,
@@ -107,4 +108,6 @@
"LogMod... |
modin-project__modin-6854 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/execution/dask/implementations/pandas_on_dask/io/io.py:PandasOnDaskIO"
]
},
"file": "modin/core/execution/dask/implementations/pandas_on_dask/io/io... | modin-project/modin | 45ad9deced24fa0e5c8e119b15fcec8bb95dbd8d | Implement `read_parquet_glob`
Requested in https://modin-project.slack.com/archives/C02MY2YV5MK/p1703075320557569
| diff --git a/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py b/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
--- a/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
+++ b/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
@@ -43,12 +43,13 @@
from mod... |
modin-project__modin-7208 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/dataframe.py:DataFrame.melt"
],
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},
"file": "modin/pandas/dataframe.py"
}
] | modin-project/modin | e9dbcc127913db77473a83936e8b6bb94ef84f0d | BUG: df.melt cannot does not handle duplicate value_vars correctly
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order... | diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -1311,7 +1311,7 @@ def melt(
if not is_list_like(id_vars):
id_vars = [id_vars]
if value_vars is None:
- value_vars = self.columns.difference(id_... |
modin-project__modin-6625 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.bool",
"modin/pandas/base.py:BasePandasDataset.first",
"modin/pandas/base.py:BasePandasDataset.last"
],
"edited_modules": [
"mo... | modin-project/modin | 77b8d367962766ad5cfe45a2a0981827a6508214 | Add `FutureWarning`s for `first/last/bool`
| diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -1130,6 +1130,11 @@ def bool(self): # noqa: RT01, D200
"""
Return the bool of a single element `BasePandasDataset`.
"""
+ warnings.warn(
+ f"{type(self).__name_... |
modin-project__modin-5946 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/file_dispatcher.py:FileDispatcher.read"
],
"edited_modules": [
"modin/core/io/file_dispatcher.py:FileDispatcher"
]
},
"file": "modin/core/io/file_dispatch... | modin-project/modin | 9159d813926816c840e53d6e8ecf43e2765a9e9c | Reading large json lines dataset fails because of rows having different columns
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Ubuntu 20.04.4 LTS
- **Modin version** (`modin.__version__`): 0.15.3
- **Python version**: 3.10.6
- **Code we can use to reproduce**:
```python
impo... | diff --git a/modin/core/io/file_dispatcher.py b/modin/core/io/file_dispatcher.py
--- a/modin/core/io/file_dispatcher.py
+++ b/modin/core/io/file_dispatcher.py
@@ -26,6 +26,7 @@
from modin.logging import ClassLogger
from modin.config import AsyncReadMode
+from modin.utils import ModinAssumptionError
NOT_IMPLEME... |
modin-project__modin-6673 | [
{
"changes": {
"added_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.support_materialization_in_worker_process"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.... | modin-project/modin | 41ecc925c9f7b11e385a16f6b664fa2b15b34edd | BUG: Using Modin objects within an `apply` fails, with unclear error message
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of ... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -4119,6 +4119,16 @@ def wait_computations(self):
"""Wait for all computations... |
modin-project__modin-6751 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.from_labels"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
... | modin-project/modin | adfd2bb3b1347a618039e28ae3504a7d808b792f | Preserve partial dtype for the result of `.reset_index()`
we can do so by using `ModinDtypes.concat()` API
```python
import modin.pandas as pd
df = pd.DataFrame({"a": [1, 2, 3]}, index=[1, 2, 3])
df["b"] = df.apply(lambda row: row.sum(), axis=0)
# known dtypes: {'a': dtype('int64')};
# cols with unknown dtype... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -1323,11 +1323,13 @@ def from_labels(self) -> "PandasDataframe":
if "... |
modin-project__modin-6780 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/indexing.py:_LocationIndexerBase._handle_boolean_masking"
],
"edited_modules": [
"modin/pandas/indexing.py:_LocationIndexerBase"
]
},
"file": "modin/pandas... | modin-project/modin | 76d741bec279305b041ba5689947438884893dad | pandas.errors.IndexingError: Too many indexers: you're trying to pass 2 indexers to the <class 'modin.pandas.series.Series'> having only 1 dimensions.
Reproducer:
```python
import modin.pandas as pd
pd.Series([1,2,3]).loc[pd.Series(True, False, False)]
```
Traceback:
```python
Traceback (most recent call las... | diff --git a/modin/pandas/indexing.py b/modin/pandas/indexing.py
--- a/modin/pandas/indexing.py
+++ b/modin/pandas/indexing.py
@@ -568,6 +568,9 @@ def _handle_boolean_masking(self, row_loc, col_loc):
masked_df = self.df.__constructor__(
query_compiler=self.qc.getitem_array(row_loc._query_compiler)... |
modin-project__modin-6905 | [
{
"changes": {
"added_entities": [
"modin/core/dataframe/pandas/metadata/dtypes.py:DtypesDescriptor._normalize_levels",
"modin/core/dataframe/pandas/metadata/dtypes.py:DtypesDescriptor._normalize_self_levels"
],
"added_modules": null,
"edited_entities": [
"modin/c... | modin-project/modin | abbbd03023f55d4ee9592c4c695308e10a97cb4c | BUG: Partial dtypes doesn't work when mixing MultiIndex and non-MultiIndex columns
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main bran... | diff --git a/modin/core/dataframe/pandas/metadata/dtypes.py b/modin/core/dataframe/pandas/metadata/dtypes.py
--- a/modin/core/dataframe/pandas/metadata/dtypes.py
+++ b/modin/core/dataframe/pandas/metadata/dtypes.py
@@ -159,7 +159,10 @@ def columns_order(self) -> Optional[dict[int, IndexLabel]]:
if self._parent... |
modin-project__modin-6951 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/groupby.py:DataFrameGroupBy.aggregate"
],
"edited_modules": [
"modin/pandas/groupby.py:DataFrameGroupBy"
]
},
"file": "modin/pandas/groupby.py"
}
] | modin-project/modin | 4704751c4440574ce59b9948e88e6991e1d3183b | Poor Performance on TPC-H Queries
In a benchmark project ([link](https://github.com/hesamshahrokhi/modin_tpch_benchmark)), I tried to compare the performance of Pandas and Modin (on Ray and Dask) on simple TPC-H queries (Q1 and Q6) written in Pandas. The results ([link](https://github.com/hesamshahrokhi/modin_tpch_benc... | diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -22,6 +22,7 @@
import pandas.core.common as com
import pandas.core.groupby
from pandas._libs import lib
+from pandas.api.types import is_scalar
from pandas.core.apply import reconstruct_func... |
modin-project__modin-6057 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/series.py:Series.cat"
],
"edited_modules": [
"modin/pandas/series.py:Series"
]
},
"file": "modin/pandas/series.py"
},
{
"changes": {
"added_e... | modin-project/modin | 02215b4abbf682773b22fa5881b7f63017b96621 | Implement `Series.cat` through `CachedAccessor` as it done for `Series.sparse`
| diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -39,7 +39,7 @@
from .iterator import PartitionIterator
from .utils import from_pandas, is_scalar, _doc_binary_op, cast_function_modin2pandas
from .accessor import CachedAccessor, SparseAccessor
-... |
modin-project__modin-7055 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/series.py:Series.shift"
],
"edited_modules": [
"modin/pandas/series.py:Series"
]
},
"file": "modin/pandas/series.py"
}
] | modin-project/modin | 4ab68c6c4b25f987c259754a5399da5df5b3608f | Update Exception message for `shift` function in the case of axis = 1
| diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -1409,7 +1409,9 @@ def shift(
+ f"{type(self).__name__}.shift"
)
if axis == 1:
- raise ValueError(f"No axis named {axis} for object type {type(self)... |
modin-project__modin-6656 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/series.py:Series.between"
],
"edited_modules": [
"modin/pandas/series.py:Series"
]
},
"file": "modin/pandas/series.py"
}
] | modin-project/modin | f14b0fe6db4755903cd52ddd3b51e4aff172c359 | AttributeError: 'PandasQueryCompiler' object has no attribute 'between'
https://github.com/modin-project/modin/blob/ce54013f2116fcc57e7a6a09cfdd3532beb24d45/modin/pandas/series.py#L722
| diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -718,9 +718,9 @@ def between(self, left, right, inclusive: str = "both"): # noqa: PR01, RT01, D2
"""
Return boolean Series equivalent to left <= series <= right.
"""
- ... |
modin-project__modin-7225 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": null
},
"file": "modin/pandas/api/__init__.py"
}
] | modin-project/modin | 9fa326f6fd53eb0e3192b3eca72382a6388117fe | BUG: Importing `modin.pandas.api.extensions` overwrites re-export of `pandas.api` submodules
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main ... | diff --git a/modin/pandas/api/__init__.py b/modin/pandas/api/__init__.py
--- a/modin/pandas/api/__init__.py
+++ b/modin/pandas/api/__init__.py
@@ -11,6 +11,10 @@
# ANY KIND, either express or implied. See the License for the specific language
# governing permissions and limitations under the License.
+
+# Re-export... |
modin-project__modin-6873 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/execution/dask/implementations/pandas_on_dask/io/io.py:PandasOnDaskIO"
]
},
"file": "modin/core/execution/dask/implementations/pandas_on_dask/io/io... | modin-project/modin | 097ea527c8e3f099e1f252b067a1d5eb055ad0b5 | Reading in multiple JSON files using glob (wildcard) syntax
There was a similar feature request (https://github.com/modin-project/modin/pull/2662) that solved this problem for CSV files. For my use case I am trying to read hundreds or thousands of jsonlines files spit out by a Spark ETL process. In some cases we could ... | diff --git a/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py b/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
--- a/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
+++ b/modin/core/execution/dask/implementations/pandas_on_dask/io/io.py
@@ -49,6 +49,7 @@
from modin... |
modin-project__modin-7172 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler.setitem"
],
"edited_modules": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler"
... | modin-project/modin | 975b32ce16f076c449c0e22ad7236448da6ebc6b | BUG: ValueError: Length of values (256) does not match length of index (65537)
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modi... | diff --git a/modin/core/storage_formats/pandas/query_compiler.py b/modin/core/storage_formats/pandas/query_compiler.py
--- a/modin/core/storage_formats/pandas/query_compiler.py
+++ b/modin/core/storage_formats/pandas/query_compiler.py
@@ -2908,7 +2908,7 @@ def getitem_row_array(self, key):
)
def setitem... |
modin-project__modin-7136 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.map"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
},
... | modin-project/modin | c48bb30480f139f08d720171c6107dc74183edb6 | Reduce amount of remote calls for square-like dataframes
## What's the problem?
There are certain scenarios where some patterns of distributed executions work better than others for different types of datasets even if they're implementing the same function. Consider this example from [Modin's optimization notes](https... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -28,7 +28,7 @@
from pandas.core.dtypes.common import is_dtype_equal, is_list_like, is... |
modin-project__modin-6486 | [
{
"changes": {
"added_entities": [
"modin/pandas/base.py:BasePandasDataset.__array_ufunc__"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
}
] | modin-project/modin | 3b3bba9a83b6bec35e86826800004987afe24d47 | BUG: np.sin(modin_series) returns numpy array instead of modin.pandas series
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of ... | diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -52,7 +52,7 @@
)
import pickle as pkl
import re
-from typing import Optional, Union, Sequence, Hashable
+from typing import Optional, Union, Sequence, Hashable, Any
import warnings
@@ -3903,3 +3903,... |
modin-project__modin-6980 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._copartition",
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.n_ary_op"
],
"edited_modules": [... | modin-project/modin | f601f8a9d602c70333548df3ef5e3c953df04f37 | Unnecessary `._copartition()` on binary operations
<b>quote from [this comment](https://github.com/modin-project/modin/issues/6948#issuecomment-1969082652):</b>
This block with binary operations unnecessary triggers lazy executions because of [`._copartition()`](https://github.com/modin-project/modin/blob/271d98b260... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -196,7 +196,7 @@ def row_lengths(self):
@classmethod
def _get_lengths(cls, p... |
modin-project__modin-6370 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler._groupby_shuffle"
],
"edited_modules": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompi... | modin-project/modin | 58f850d20bbb3aba5fc592bff4003ebfdc81b68a | BUG: Reshuffling groupby doesn't work for `groupby.size()` method
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order ... | diff --git a/modin/core/storage_formats/pandas/query_compiler.py b/modin/core/storage_formats/pandas/query_compiler.py
--- a/modin/core/storage_formats/pandas/query_compiler.py
+++ b/modin/core/storage_formats/pandas/query_compiler.py
@@ -3480,7 +3480,15 @@ def _groupby_shuffle(
original_agg_func = agg_func
... |
modin-project__modin-7048 | [
{
"changes": {
"added_entities": [
"modin/core/storage_formats/pandas/groupby.py:PivotTableImpl.map_reduce_impl",
"modin/core/storage_formats/pandas/groupby.py:PivotTableImpl.full_axis_impl",
"modin/core/storage_formats/pandas/groupby.py:PivotTableImpl.range_partition_impl",
... | modin-project/modin | 528fd7bc83e98b4f20439dfd71470b3ccc171ee9 | Add range-partitioning implementation for `.pivot_table()`
| diff --git a/modin/core/storage_formats/pandas/groupby.py b/modin/core/storage_formats/pandas/groupby.py
--- a/modin/core/storage_formats/pandas/groupby.py
+++ b/modin/core/storage_formats/pandas/groupby.py
@@ -245,3 +245,256 @@ def mean_reduce(dfgb, **kwargs):
"skew": GroupbyReduceImpl._build_skew_impl(),
"s... |
modin-project__modin-6763 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/groupby.py:GroupByReduce.caller"
],
"edited_modules": [
"modin/core/dataframe/algebra/groupby.py:GroupByReduce"
]
},
"file": "modin/core/da... | modin-project/modin | 794ac6fa9a41cf378b8e92ea438b222fef61b3b3 | Support carrying dtypes in an index cache
The main goal is to preserve dtype for the 'a' column in the following case. Currently, we're losing dtypes at the 'groupby' stage, where we are supposed to pass the 'by' dtypes to a lazy `ModinIndex`, however, it doesn't support such behaviour.
```python
import modin.pandas ... | diff --git a/modin/core/dataframe/algebra/groupby.py b/modin/core/dataframe/algebra/groupby.py
--- a/modin/core/dataframe/algebra/groupby.py
+++ b/modin/core/dataframe/algebra/groupby.py
@@ -15,6 +15,7 @@
import pandas
+from modin.core.dataframe.pandas.metadata import ModinIndex
from modin.error_message import Er... |
modin-project__modin-6404 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/column_stores/parquet_dispatcher.py:ParquetDispatcher._to_parquet_check_support",
"modin/core/io/column_stores/parquet_dispatcher.py:ParquetDispatcher.write"
],
"edited... | modin-project/modin | 2a6aafed41f7758d75dab88517c76b5cdb1905fc | BUG: Ray to_parquet defaults to Pandas while documentation says supported
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [ ] I have confirmed this bug exists on the main branch of Modin. (I... | diff --git a/modin/core/io/column_stores/parquet_dispatcher.py b/modin/core/io/column_stores/parquet_dispatcher.py
--- a/modin/core/io/column_stores/parquet_dispatcher.py
+++ b/modin/core/io/column_stores/parquet_dispatcher.py
@@ -695,31 +695,6 @@ def _read(cls, path, engine, columns, use_nullable_dtypes, dtype_backend... |
modin-project__modin-7229 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/pandas/merge.py:MergeImpl.row_axis_merge"
],
"edited_modules": [
"modin/core/storage_formats/pandas/merge.py:MergeImpl"
]
},
"file": "modin/c... | modin-project/modin | c48bb30480f139f08d720171c6107dc74183edb6 | Don't preserve bad partition for `merge`
| diff --git a/modin/core/storage_formats/pandas/merge.py b/modin/core/storage_formats/pandas/merge.py
--- a/modin/core/storage_formats/pandas/merge.py
+++ b/modin/core/storage_formats/pandas/merge.py
@@ -13,15 +13,23 @@
"""Contains implementations for Merge/Join."""
+from __future__ import annotations
+
+from typin... |
modin-project__modin-6685 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.pct_change"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
},
{
"cha... | modin-project/modin | e12b21703494dcbb8f7aa951b40ebe1d033307ba | Adapt for pandas 2.1.2
| diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -2188,13 +2188,13 @@ def pct_change(
"""
Percentage change between the current and a prior element.
"""
- if fill_method is not lib.no_default or limit is not lib.no_defaul... |
modin-project__modin-5507 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/text/text_file_dispatcher.py:TextFileDispatcher._read"
],
"edited_modules": [
"modin/core/io/text/text_file_dispatcher.py:TextFileDispatcher"
]
},
"file":... | modin-project/modin | e1d42410c3900f93be420303e745de29c1e6bda1 | Different from pandas index at `read_csv` in case of specified `names`
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Any
- **Modin version** (`modin.__version__`): 0.8.0
- **Python version**: 3.7.5
- **Code we can use to reproduce**:
```python
if __name__ == "__main__":
... | diff --git a/modin/core/io/text/text_file_dispatcher.py b/modin/core/io/text/text_file_dispatcher.py
--- a/modin/core/io/text/text_file_dispatcher.py
+++ b/modin/core/io/text/text_file_dispatcher.py
@@ -1105,6 +1105,14 @@ def _read(cls, filepath_or_buffer, **kwargs):
if can_compute_metadata_while_skipping_... |
modin-project__modin-7057 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/indexing.py:_LocationIndexerBase._validate_key_length"
],
"edited_modules": [
"modin/pandas/indexing.py:_LocationIndexerBase"
]
},
"file": "modin/pandas/in... | modin-project/modin | 4ab68c6c4b25f987c259754a5399da5df5b3608f | Update exception message for `iloc/loc` functions
| diff --git a/modin/pandas/indexing.py b/modin/pandas/indexing.py
--- a/modin/pandas/indexing.py
+++ b/modin/pandas/indexing.py
@@ -290,9 +290,7 @@ def _validate_key_length(self, key: tuple) -> tuple: # noqa: GL08
if Ellipsis in key:
raise IndexingError(_one_ellipsis_message)
... |
modin-project__modin-6648 | [
{
"changes": {
"added_entities": [
"modin/conftest.py:TestQC.execute"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/conftest.py:TestQC"
]
},
"file": "modin/conftest.py"
},
{
"changes": {
"added_entities": [... | modin-project/modin | 112afb6fb455beec67c9ded6f42ffbf378bbbf79 | Add trigger_execution to dataframe and series
Sometimes I need to "force" execution (trigger execution of all delayed computations).
It is useful for benchmarking. Currently benchmarks have to do something like [this](https://github.com/intel-ai/omniscripts/blob/master/utils/trigger_execution.py) to trigger computat... | diff --git a/modin/conftest.py b/modin/conftest.py
--- a/modin/conftest.py
+++ b/modin/conftest.py
@@ -175,6 +175,10 @@ def __init__(self, modin_frame):
def finalize(self):
self._modin_frame.finalize()
+ def execute(self):
+ self.finalize()
+ self._modin_frame.wait_computations()
+
... |
modin-project__modin-6270 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/binary.py:Binary.register"
],
"edited_modules": [
"modin/core/dataframe/algebra/binary.py:Binary"
]
},
"file": "modin/core/dataframe/algebr... | modin-project/modin | e1d42410c3900f93be420303e745de29c1e6bda1 | BUG: Series.equals with all-NA entries
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you can follow [... | diff --git a/modin/core/dataframe/algebra/binary.py b/modin/core/dataframe/algebra/binary.py
--- a/modin/core/dataframe/algebra/binary.py
+++ b/modin/core/dataframe/algebra/binary.py
@@ -382,6 +382,7 @@ def caller(
lambda x, y: func(x, y, *args, **kwargs),
[othe... |
modin-project__modin-7142 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": null
},
"file": "modin/config/__init__.py"
},
{
"changes": {
"added_entities": [
"modin/config/pubsub.py:context"
],
"added_modules": [
... | modin-project/modin | 3bf5d8ff4311a3f7d68c721fbae422dd0849f13e | Add an ability to modify config variables using context manager
The idea is to make the config variables easier to switch:
```python
import modin.config as cfg
with cfg.RangePartitioning(True):
df.groupby(...) # use range-partitioning
# do not use range partitioning
df.groupby(...)
```
| diff --git a/modin/config/__init__.py b/modin/config/__init__.py
--- a/modin/config/__init__.py
+++ b/modin/config/__init__.py
@@ -56,12 +56,13 @@
TestReadFromSqlServer,
TrackFileLeaks,
)
-from modin.config.pubsub import Parameter, ValueSource
+from modin.config.pubsub import Parameter, ValueSource, context
... |
modin-project__modin-6798 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/indexing.py:_LocIndexer._setitem_with_new_columns"
],
"edited_modules": [
"modin/pandas/indexing.py:_LocIndexer"
]
},
"file": "modin/pandas/indexing.py"
... | modin-project/modin | b8202f127d79b20076126edce85dd63a59e4a677 | BUG: Columns insertion doesn't work with `.loc` accessor
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do thi... | diff --git a/modin/pandas/indexing.py b/modin/pandas/indexing.py
--- a/modin/pandas/indexing.py
+++ b/modin/pandas/indexing.py
@@ -813,7 +813,7 @@ def _setitem_with_new_columns(self, row_loc, col_loc, item):
----------
row_loc : scalar, slice, list, array or tuple
Row locator.
- co... |
modin-project__modin-6369 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
},
"file": "modin/core/dataframe/pandas/dataframe/dataframe.py"
}
] | modin-project/modin | 54769c66fef8cdcd99101bc4fd60708826821c19 | BUG: groupby on a dataframe with deferred indices gives wrong result
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In ord... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -3556,7 +3556,7 @@ def apply_func(df): # pragma: no cover
return result
... |
modin-project__modin-6260 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/default2pandas/default.py:DefaultMethod.register"
],
"edited_modules": [
"modin/core/dataframe/algebra/default2pandas/default.py:DefaultMethod"
]
... | modin-project/modin | f617c5e6621f051d9c7befc297deec79563115db | BUG: AttributeError: type object 'dict' has no attribute 'lower'
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order t... | diff --git a/modin/core/dataframe/algebra/default2pandas/default.py b/modin/core/dataframe/algebra/default2pandas/default.py
--- a/modin/core/dataframe/algebra/default2pandas/default.py
+++ b/modin/core/dataframe/algebra/default2pandas/default.py
@@ -127,6 +127,7 @@ def applyier(df, *args, **kwargs):
a... |
modin-project__modin-7042 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler.unique"
],
"edited_modules": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler"
... | modin-project/modin | 7b233e4a920d5f03dce7a82847847b92ae7ad617 | BUG: Series.unique with pyarrow dtype
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you can follow [t... | diff --git a/modin/core/storage_formats/pandas/query_compiler.py b/modin/core/storage_formats/pandas/query_compiler.py
--- a/modin/core/storage_formats/pandas/query_compiler.py
+++ b/modin/core/storage_formats/pandas/query_compiler.py
@@ -2018,7 +2018,10 @@ def str_split(self, pat=None, n=-1, expand=False, regex=None):... |
modin-project__modin-6554 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/text/text_file_dispatcher.py:TextFileDispatcher.check_parameters_support"
],
"edited_modules": [
"modin/core/io/text/text_file_dispatcher.py:TextFileDispatcher"
]... | modin-project/modin | 9886c0124b2003e381619fd684c3e68604faf16e | BUG: read_csv with `iterator=True` throws AttributeError
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [ ] I have confirmed this bug exists on the main branch of Modin. (In order to ... | diff --git a/modin/core/io/text/text_file_dispatcher.py b/modin/core/io/text/text_file_dispatcher.py
--- a/modin/core/io/text/text_file_dispatcher.py
+++ b/modin/core/io/text/text_file_dispatcher.py
@@ -683,6 +683,9 @@ def check_parameters_support(
if read_kwargs["chunksize"] is not None:
return (... |
modin-project__modin-6811 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/algebra/binary.py:maybe_compute_dtypes_common_cast"
],
"edited_modules": [
"modin/core/dataframe/algebra/binary.py:maybe_compute_dtypes_common_cast"
]
... | modin-project/modin | 1a1e090032a187409515ce5697156a0716c4a599 | Unexpected warning: `PerformanceWarning: Adding/subtracting object-dtype array to DatetimeArray not vectorized.`
Modin: 76d741bec279305b041ba5689947438884893dad
```python
import modin.pandas as pd
pd.Series([datetime.datetime(2000, 1, 1)]) - datetime.datetime(1970, 1, 1, 0, 0) # <- pandas doesn't raise the warnin... | diff --git a/modin/core/dataframe/algebra/binary.py b/modin/core/dataframe/algebra/binary.py
--- a/modin/core/dataframe/algebra/binary.py
+++ b/modin/core/dataframe/algebra/binary.py
@@ -13,6 +13,7 @@
"""Module houses builder class for Binary operator."""
+import warnings
from typing import Optional
import num... |
modin-project__modin-6612 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/dataframe.py:DataFrame.join"
],
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},
"file": "modin/pandas/dataframe.py"
}
] | modin-project/modin | 47b7cae3b6a60fbef33fa9e8319087bd539fb66f | BUG: `join` says it is distributing a 'dict' object
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do th... | diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -1160,7 +1160,7 @@ def join(
if isinstance(other, Series):
if other.name is None:
raise ValueError("Other Series must have a name")
- ot... |
modin-project__modin-5949 | [
{
"changes": {
"added_entities": [
"modin/core/dataframe/algebra/binary.py:maybe_compute_dtypes_common_cast",
"modin/core/dataframe/algebra/binary.py:maybe_build_dtypes_series",
"modin/core/dataframe/algebra/binary.py:try_compute_new_dtypes"
],
"added_modules": [
... | modin-project/modin | ff67a22fd3a7efcdfc52e7318a4e5a44dd7ba5bb | Precompute new dtype cache for binary operations when a scalar is involved
At the first glance, putting these lines [here](https://github.com/modin-project/modin/blob/67efa96e14e7cd2339c68f90e81703f1fa755b3e/modin/core/dataframe/algebra/binary.py#L284) should do the thing:
```python
if dtypes is None and query_compi... | diff --git a/modin/core/dataframe/algebra/binary.py b/modin/core/dataframe/algebra/binary.py
--- a/modin/core/dataframe/algebra/binary.py
+++ b/modin/core/dataframe/algebra/binary.py
@@ -15,9 +15,11 @@
import numpy as np
import pandas
-from pandas.api.types import is_scalar
+from pandas.api.types import is_scalar, ... |
modin-project__modin-7193 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.idxmax",
"modin/pandas/base.py:BasePandasDataset.idxmin"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},... | modin-project/modin | 6d64e08fc8e124b7a6ba2aecd4062dfe7fef90f1 | BUG: idxmax and idxmin do not allow string columns when numeric_only=False
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (... | diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -1868,8 +1868,6 @@ def idxmax(self, axis=0, skipna=True, numeric_only=False): # noqa: PR01, RT01,
"""
Return index of first occurrence of maximum over requested axis.
"""
- ... |
modin-project__modin-6758 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.apply_select_indices"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
... | modin-project/modin | 93275d9d3bb74158e80489fc9beb2761dd9b2a85 | Preserve dtypes cache on `df[existing_col] = scalar`
It currently loses all dtypes on `.__setitem__()`
```python
import modin.pandas as pd
df = pd.DataFrame({"a": [1, 2, 3], "b": [3, 4, 5]})
df["b"] = 10
# known dtypes: {};
# cols with unknown dtypes: ['a', 'b'];
print(df._query_compiler._modin_frame._dtypes... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -2915,7 +2915,7 @@ def apply_select_indices(
new_index = self.index if ax... |
modin-project__modin-6545 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/conftest.py:make_parquet_file"
],
"edited_modules": [
"modin/conftest.py:make_parquet_file"
]
},
"file": "modin/conftest.py"
},
{
"changes": {
"adde... | modin-project/modin | 0e426677ca39458d61e57c9f2ca23ad5c0789f6e | BUG: read_parquet doesn't handle index names correctly
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this ... | diff --git a/modin/conftest.py b/modin/conftest.py
--- a/modin/conftest.py
+++ b/modin/conftest.py
@@ -385,6 +385,9 @@ def _make_parquet_file(
nrows=NROWS,
ncols=2,
force=True,
+ range_index_start=0,
+ range_index_step=1,
+ range_index_name=None,
partitioned_colu... |
modin-project__modin-6560 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/distributed/dataframe/pandas/partitions.py:unwrap_partitions"
],
"edited_modules": [
"modin/distributed/dataframe/pandas/partitions.py:unwrap_partitions"
]
},
"fi... | modin-project/modin | abe20a57b82ae366b2394171d1a7dd50ca1b9cb9 | BUG: can't unwrap virtual partitions with axis=None
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you... | diff --git a/modin/distributed/dataframe/pandas/partitions.py b/modin/distributed/dataframe/pandas/partitions.py
--- a/modin/distributed/dataframe/pandas/partitions.py
+++ b/modin/distributed/dataframe/pandas/partitions.py
@@ -23,18 +23,30 @@
if TYPE_CHECKING:
from modin.core.execution.ray.implementations.pandas_... |
modin-project__modin-6823 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._set_columns"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
... | modin-project/modin | 324099d8737ead092e4acacfe03b1caa82e01986 | BUG: `NotImplementedError` when trying to set duplicated column names
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In or... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -709,11 +709,19 @@ def _set_columns(self, new_columns):
return
... |
modin-project__modin-6638 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/text/excel_dispatcher.py:ExcelDispatcher._read"
],
"edited_modules": [
"modin/core/io/text/excel_dispatcher.py:ExcelDispatcher"
]
},
"file": "modin/core/i... | modin-project/modin | 762a00f68c9fc8c65cbec9b5bf5938831524ecd1 | Length Mismatch when using `pd.read_excel()`
I have big excel (xlsx) files that i want read using Modin. The file returns a proper dataframe when am using pandas but when I use Modin I get the error:
```
ValueError: Length mismatch: Expected axis has 15 elements, new values have 5 elements
```
Is there a fix?
| diff --git a/modin/core/io/text/excel_dispatcher.py b/modin/core/io/text/excel_dispatcher.py
--- a/modin/core/io/text/excel_dispatcher.py
+++ b/modin/core/io/text/excel_dispatcher.py
@@ -59,6 +59,13 @@ def _read(cls, io, **kwargs):
**kwargs
)
+ if kwargs.get("skiprows") is not Non... |
modin-project__modin-6344 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.clip"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
}
] | modin-project/modin | f32a9bda4be075e9c5c99252bfeeb23d5d135d4c | axis argument required to clip series with list-like bounds
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: macOS Monterey 12.2.1
- **Modin version** (`modin.__version__`): 0f70e828ed127229f7160075d2ad06a6b16b1002
- **Python version**: 3.9.12
- **Code we can use to reproduce**:... | diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -1083,8 +1083,6 @@ def clip(
if upper is not None and np.any(np.isnan(upper)):
upper = None
if is_list_like(lower) or is_list_like(upper):
- if axis is None:
- ... |
modin-project__modin-6785 | [
{
"changes": {
"added_entities": [
"modin/pandas/dataframe.py:DataFrame.__divmod__",
"modin/pandas/dataframe.py:DataFrame.__rdivmod__"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},... | modin-project/modin | 76d741bec279305b041ba5689947438884893dad | AttributeError: type object 'DataFrame' has no attribute '__rdivmod__'/'__divmod__'
**Note**: Series has these attributes implemented.
| diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -60,6 +60,7 @@
from .series import Series
from .utils import (
SET_DATAFRAME_ATTRIBUTE_WARNING,
+ _doc_binary_op,
cast_function_modin2pandas,
from_non_pandas,
fr... |
modin-project__modin-6937 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/column_stores/parquet_dispatcher.py:ParquetDispatcher.build_query_compiler"
],
"edited_modules": [
"modin/core/io/column_stores/parquet_dispatcher.py:ParquetDispatcher"... | modin-project/modin | d54dcfd8e4cceecdbf818a48bbc712854dda906e | `read_parquet` failed to read the dataset created by `to_parquet` with `index = False`.
From asv benchmark: `io.parquet.TimeReadParquet.time_read_parquet`. Modin 0.27.0
Traceback:
```python
2024-02-16T12:19:04.9732956Z For parameters: [10000, 10]
2024-02-16T12:19:04.9733967Z 2024-02-... | diff --git a/modin/core/io/column_stores/parquet_dispatcher.py b/modin/core/io/column_stores/parquet_dispatcher.py
--- a/modin/core/io/column_stores/parquet_dispatcher.py
+++ b/modin/core/io/column_stores/parquet_dispatcher.py
@@ -690,6 +690,7 @@ def build_query_compiler(cls, dataset, columns, index_columns, **kwargs):... |
modin-project__modin-6941 | [
{
"changes": {
"added_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._extract_partitions"
],
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.broadcast_apply_full_axis"
... | modin-project/modin | 6dfe13fb5468c3fbac85e11fcbc9a64b30d14ac7 | Merge failed when right operand is an empty dataframe
Modin 0.27.0
```python
import modin.pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(100, 100))
df2 = df.iloc[:0]
pd.merge(df, df2) <- failed
```
Traceback:
```python
Traceback (most recent call last):
File "<stdin>", line 1, in <mod... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -3203,6 +3203,25 @@ def _prepare_frame_to_broadcast(self, axis, indices, broadcast_all... |
modin-project__modin-7189 | [
{
"changes": {
"added_entities": [
"modin/config/envvars.py:CpuCount.get",
"modin/config/envvars.py:NPartitions.get"
],
"added_modules": null,
"edited_entities": [
"modin/config/envvars.py:LogMemoryInterval.get",
"modin/config/envvars.py:LogFileSize.get",
... | modin-project/modin | 6d64e08fc8e124b7a6ba2aecd4062dfe7fef90f1 | Add extra check for `NPartitions` and `CpuCount` classes
| diff --git a/modin/config/envvars.py b/modin/config/envvars.py
--- a/modin/config/envvars.py
+++ b/modin/config/envvars.py
@@ -313,6 +313,20 @@ def _get_default(cls) -> int:
return multiprocessing.cpu_count()
+ @classmethod
+ def get(cls) -> int:
+ """
+ Get ``CpuCount`` with extra chec... |
modin-project__modin-6884 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.astype"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
},
... | modin-project/modin | 13762a18c1e35d1254ebe1db02c170c68aa05bb5 | Setitem after astype is not working correctly
Reproducer:
```python
import modin.pandas as pd
df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
df["a"] = pd.Series([1,2,6]).astype("int32")
assert df.dtypes["a"] == "int32", f"{df.dtypes['a']} != 'int32'"
```
Error: `AssertionError: int64 != 'int32`
| diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -1638,12 +1638,8 @@ def astype(self, col_dtypes, errors: str = "raise"):
... |
modin-project__modin-7160 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler.quantile_for_list_of_values"
],
"edited_modules": [
"modin/core/storage_formats/pandas/query_compiler.py:Panda... | modin-project/modin | d2390100802c808b7ca0f612359b365916d6fec1 | BUG: The quantile method throws exceptions in some scenarios
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do... | diff --git a/modin/core/storage_formats/pandas/query_compiler.py b/modin/core/storage_formats/pandas/query_compiler.py
--- a/modin/core/storage_formats/pandas/query_compiler.py
+++ b/modin/core/storage_formats/pandas/query_compiler.py
@@ -2588,7 +2588,7 @@ def quantile_for_list_of_values(self, **kwargs):
axis ... |
modin-project__modin-6649 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/groupby.py:DataFrameGroupBy.apply"
],
"edited_modules": [
"modin/pandas/groupby.py:DataFrameGroupBy"
]
},
"file": "modin/pandas/groupby.py"
}
] | modin-project/modin | c400b96f7361b11428f31ada097ba24ea15d33e3 | BUG: groupby and apply function produced unexpected column name `__reduced__`
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [ ] I have confirmed this bug exists on the main branch of... | diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -659,16 +659,20 @@ def apply(self, func, *args, **kwargs):
if not isinstance(func, BuiltinFunctionType):
func = wrap_udf_function(func)
- return self._check_index(... |
modin-project__modin-7075 | [
{
"changes": {
"added_entities": [
"modin/core/execution/ray/common/engine_wrapper.py:MaterializationHook.__reduce__"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/execution/ray/common/engine_wrapper.py:MaterializationHook"
... | modin-project/modin | 7fc119dbf06ef0a34bf61e29514b5cafa51b7dbb | BUG: The H&M benchmark fails on Ray
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you can follow [thi... | diff --git a/modin/core/execution/ray/common/engine_wrapper.py b/modin/core/execution/ray/common/engine_wrapper.py
--- a/modin/core/execution/ray/common/engine_wrapper.py
+++ b/modin/core/execution/ray/common/engine_wrapper.py
@@ -307,6 +307,19 @@ def post_materialize(self, materialized):
"""
raise No... |
modin-project__modin-6263 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/groupby.py:DataFrameGroupBy.aggregate"
],
"edited_modules": [
"modin/pandas/groupby.py:DataFrameGroupBy"
]
},
"file": "modin/pandas/groupby.py"
}
] | modin-project/modin | e987314820f4483ca00a5a2e19fdd88060e4a743 | Fix some groupby test cases that were commented out after switching to pandas>=2.0.
https://github.com/modin-project/modin/blob/1d8a179dc0d775b8601f0586da4b64f9c4f86c0b/modin/pandas/test/test_groupby.py#L1344-L1356
| diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -836,7 +836,7 @@ def do_relabel(obj_to_relabel):
# for list-list aggregation pandas always puts
# groups as index in the result, ignoring as_index,
# so we... |
modin-project__modin-6825 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._filter_empties"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
... | modin-project/modin | 7f2dc36a0d096ba9e472bd626f7eca7eb4549909 | BUG: Filtering empty partitions should invalidate `ModinIndex._lengths_id` cache
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Mo... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -808,8 +808,17 @@ def _filter_empties(self, compute_metadata=True):
i... |
modin-project__modin-6371 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.to_pandas"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe"
]
... | modin-project/modin | ea0a6acb1e7928bec227b15cffb1405eeada01e5 | BUG: Series.copy() with empty series loses dtype
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you ca... | diff --git a/modin/core/dataframe/pandas/dataframe/dataframe.py b/modin/core/dataframe/pandas/dataframe/dataframe.py
--- a/modin/core/dataframe/pandas/dataframe/dataframe.py
+++ b/modin/core/dataframe/pandas/dataframe/dataframe.py
@@ -3725,6 +3725,8 @@ def to_pandas(self):
df = self._partition_mgr_cls.to_panda... |
modin-project__modin-6631 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/groupby.py:DataFrameGroupBy.diff"
],
"edited_modules": [
"modin/pandas/groupby.py:DataFrameGroupBy"
]
},
"file": "modin/pandas/groupby.py"
}
] | modin-project/modin | 77b8d367962766ad5cfe45a2a0981827a6508214 | BUG: .diff() does not work on modin.pandas.groupby.DataFrameGroupBy object
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [X] I have confirmed this bug exists on the main branch of Modin. (... | diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -23,7 +23,12 @@
import pandas.core.groupby
from pandas._libs import lib
from pandas.core.apply import reconstruct_func
-from pandas.core.dtypes.common import is_integer, is_list_like, is_nume... |
modin-project__modin-6821 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/execution/ray/implementations/pandas_on_ray/io/io.py:PandasOnRayIO.to_csv"
],
"edited_modules": [
"modin/core/execution/ray/implementations/pandas_on_ray/io/io.py:PandasOn... | modin-project/modin | 324099d8737ead092e4acacfe03b1caa82e01986 | Make sure IO functions works with path-like filenames
| diff --git a/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py b/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py
--- a/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py
+++ b/modin/core/execution/ray/implementations/pandas_on_ray/io/io.py
@@ -16,7 +16,7 @@
import io
impor... |
modin-project__modin-6575 | [
{
"changes": {
"added_entities": [
"modin/core/storage_formats/base/query_compiler.py:BaseQueryCompiler.rowwise_query"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/storage_formats/base/query_compiler.py:BaseQueryCompiler"
... | modin-project/modin | 5febff397d9b731570ecf187631ae12732eefb5a | Perform simple expressions row-wise directly using pandas qc API
Implement logic allowing to switch to row-wise `.query()` implementation if expression is simple enough (#6499)
| diff --git a/modin/core/storage_formats/base/query_compiler.py b/modin/core/storage_formats/base/query_compiler.py
--- a/modin/core/storage_formats/base/query_compiler.py
+++ b/modin/core/storage_formats/base/query_compiler.py
@@ -2271,6 +2271,25 @@ def nsmallest(self, n=5, columns=None, keep="first"):
... |
modin-project__modin-6992 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/logging/class_logger.py:ClassLogger.__init_subclass__"
],
"edited_modules": [
"modin/logging/class_logger.py:ClassLogger"
]
},
"file": "modin/logging/class_logger... | modin-project/modin | a96639529a2e121f24b8c5462e1e76c243b85ede | Unify type of log_level in logging module
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. What kind of performance improvements would you like to see with this new API?
The logging module currently has a handful of functions that take in a `... | diff --git a/modin/logging/class_logger.py b/modin/logging/class_logger.py
--- a/modin/logging/class_logger.py
+++ b/modin/logging/class_logger.py
@@ -19,6 +19,7 @@
from typing import Dict, Optional
+from .config import LogLevel
from .logger_decorator import enable_logging
@@ -38,7 +39,7 @@ def __init_subclas... |
modin-project__modin-6292 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/core/dataframe/algebra/default2pandas/groupby.py:GroupByDefault",
"modin/core/dataframe/algebra/default2pandas/groupby.py:SeriesGroupByDefault"
]
},... | modin-project/modin | be98fe6cca629471392bf7de11f258a15fc47283 | Implement `groupby.rolling` API
Currently it's defaulting to pandas: https://github.com/modin-project/modin/blob/2a0566efc70661428583fbd799861d9355c158f4/modin/pandas/groupby.py#L1144-L1145
| diff --git a/modin/core/dataframe/algebra/default2pandas/groupby.py b/modin/core/dataframe/algebra/default2pandas/groupby.py
--- a/modin/core/dataframe/algebra/default2pandas/groupby.py
+++ b/modin/core/dataframe/algebra/default2pandas/groupby.py
@@ -601,10 +601,13 @@ def register(cls, func, **kwargs):
# 2. `.ap... |
modin-project__modin-7063 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset._validate_function"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
}
] | modin-project/modin | c45eeaac4ea9156ccd1fb3d599e4090812130a73 | Update exception message for `aggregate` function
| diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -414,7 +414,7 @@ def error_raiser(msg, exception=Exception):
if isinstance(fn, str):
if not (hasattr(self, fn) or hasattr(np, fn)):
on_invalid(
- ... |
modin-project__modin-6787 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/dataframe.py:DataFrame.join"
],
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},
"file": "modin/pandas/dataframe.py"
}
] | modin-project/modin | 2fee14409bfda6661b8fcccbb33f3c93ae17204f | BUG: value error when how='cross' and timeout error
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [ ] I have confirmed this bug exists on the main branch of Modin. (In order to do this you... | diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -1163,7 +1163,7 @@ def join(
if other.name is None:
raise ValueError("Other Series must have a name")
other = self.__constructor__(other)
- ... |
modin-project__modin-6633 | [
{
"changes": {
"added_entities": [
"modin/core/execution/ray/common/utils.py:deconstruct_call_queue",
"modin/core/execution/ray/common/utils.py:reconstruct_call_queue"
],
"added_modules": [
"modin/core/execution/ray/common/utils.py:deconstruct_call_queue",
"modi... | modin-project/modin | 77b8d367962766ad5cfe45a2a0981827a6508214 | BUG: Ray remote tasks internally blocking on object IDs of their dependencies can lead to deadlock
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: macOS Monterey
- **Modin version** (`modin.__version__`): I ran into this issue in my branch https://github.com/mvashishtha/modin/tre... | diff --git a/modin/core/execution/ray/common/utils.py b/modin/core/execution/ray/common/utils.py
--- a/modin/core/execution/ray/common/utils.py
+++ b/modin/core/execution/ray/common/utils.py
@@ -286,3 +286,111 @@ def deserialize(obj): # pragma: no cover
return dict(zip(obj.keys(), RayWrapper.materialize(list(... |
modin-project__modin-6790 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/io/column_stores/parquet_dispatcher.py:FastParquetDataset._get_fastparquet_files"
],
"edited_modules": [
"modin/core/io/column_stores/parquet_dispatcher.py:FastParquetData... | modin-project/modin | 2fee14409bfda6661b8fcccbb33f3c93ae17204f | BUG: Unable to read parquet files using fastparquet
### Modin version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest released version of Modin.
- [x] I have confirmed this bug exists on the main branch of Modin. (In order to do th... | diff --git a/modin/core/io/column_stores/parquet_dispatcher.py b/modin/core/io/column_stores/parquet_dispatcher.py
--- a/modin/core/io/column_stores/parquet_dispatcher.py
+++ b/modin/core/io/column_stores/parquet_dispatcher.py
@@ -285,19 +285,33 @@ def files(self):
def to_pandas_dataframe(self, columns):
... |
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