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 |
|---|---|---|---|---|---|
modin-project__modin-6618 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/dataframe.py:DataFrame.__setitem__"
],
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},
"file": "modin/pandas/dataframe.py"
}
] | modin-project/modin | ebe23d7c2bfb840f3bb55bf64ed70450c00d0fbb | PERF: `__setitem__` on multiple columns should be evaluated lazily
NOTE: I haven't done any clear benchmarking for this.
In the following reproducer:
```python
import modin.pandas as pd
import pandas as vpd
import numpy as np
cols = [f"feature_{i}" for i in range(4)]
cols.append('labels')
df = pd.read_csv('... | diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -2570,12 +2570,45 @@ def __setitem__(self, key, value):
value = np.array(value)
if len(key) != value.shape[-1]:
rai... |
modin-project__modin-5983 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/io.py:read_spss",
"modin/pandas/io.py:read_orc"
],
"edited_modules": [
"modin/pandas/io.py:read_spss",
"modin/pandas/io.py:read_orc"
]
},
"... | modin-project/modin | c2b8d8e20b37a6ea6d3111112181984e51f3208b | add tests for `read_orc`, `read_spss`, `json_normalize`, `read_xml`, `read_gbq`
| diff --git a/modin/pandas/io.py b/modin/pandas/io.py
--- a/modin/pandas/io.py
+++ b/modin/pandas/io.py
@@ -716,7 +716,7 @@ def to_pickle(
@enable_logging
def read_spss(
path: Union[str, pathlib.Path],
- usecols: Union[Sequence[str], type(None)] = None,
+ usecols: Optional[Sequence[str]] = None,
conver... |
modin-project__modin-6400 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/dataframe.py:DataFrame.insert"
],
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},
"file": "modin/pandas/dataframe.py"
}
] | modin-project/modin | 2a6aafed41f7758d75dab88517c76b5cdb1905fc | Add support for modin's numpy array in modin's `dataframe.insert()`
Currently, `df.insert()` treats modin's numpy array as a scalar:
```python
import modin.config as cfg
import modin.pandas as pd
cfg.ExperimentalNumPyAPI.put(False)
df = pd.DataFrame({"a": [1, 2, 3]})
df["b"] = df["a"].to_numpy()
print(df)
#... | diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -991,9 +991,11 @@ def insert(
"""
Insert column into ``DataFrame`` at specified location.
"""
+ from modin.numpy import array
+
if (
... |
modin-project__modin-7059 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/dataframe.py:DataFrame.insert"
],
"edited_modules": [
"modin/pandas/dataframe.py:DataFrame"
]
},
"file": "modin/pandas/dataframe.py"
}
] | modin-project/modin | 4ab68c6c4b25f987c259754a5399da5df5b3608f | Update exception message for `insert` function
| diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -1048,10 +1048,17 @@ def insert(
or isinstance(value, (array, np.ndarray))
and len(value.shape) > 1
):
- if value.shape[1] != 1:
+ ... |
modin-project__modin-6324 | [
{
"changes": {
"added_entities": [
"modin/pandas/series.py:Series.rename_axis"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/pandas/series.py:Series"
]
},
"file": "modin/pandas/series.py"
}
] | modin-project/modin | f32a9bda4be075e9c5c99252bfeeb23d5d135d4c | TEST: signature verification for `.rename_axis` disabled due to pandas bug in 1.5.0
### 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 bra... | diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -1412,6 +1412,22 @@ def reindex(
fill_value=fill_value,
)
+ def rename_axis(
+ self,
+ mapper=no_default,
+ *,
+ index=no_default,
+ axi... |
modin-project__modin-7089 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.rank"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
}
] | modin-project/modin | ac4bb2569ad109e906500ce7947e56045b754a99 | `rank` should raise `No axis named None for object type Series` to align with pandas
| diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -2362,6 +2362,10 @@ def rank(
ascending: bool = True,
pct: bool = False,
):
+ if axis is None:
+ raise ValueError(
+ f"No axis named None for object t... |
modin-project__modin-6957 | [
{
"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 | a96a9a94ea20deb8f5ebcb54819d90756c54a33e | Rename `read_pickle_distributed/to_pickle_distributed` to ` read_pickle_glob/to_pickle_glob`
For consistency with other functions like `read_csv_glob` and `read_parquet_glob`.
| 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
@@ -111,10 +111,10 @@ def __m... |
modin-project__modin-7177 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._reorder_labels",
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.broadcast_apply_full_axis"
],
... | modin-project/modin | 456068ab6d19ca0790bf41c8131ad98a3996964a | BUG: Calling df._repartition(axis=1) on updated df will raise IndexError
### 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... | 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-5952 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler.setitem_bool"
],
"edited_modules": [
"modin/core/storage_formats/pandas/query_compiler.py:PandasQueryCompiler"... | modin-project/modin | 6fd9b8f0e585876e119f703e373ad83bf9081217 | Precompute new dtype for boolean setitem
At the first glance, putting these lines [here](https://github.com/modin-project/modin/blob/67efa96e14e7cd2339c68f90e81703f1fa755b3e/modin/core/storage_formats/pandas/query_compiler.py#L2348) should do the thing:
```python
if self._modin_frame._dtypes is not None and is_scalar... | 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
@@ -33,6 +33,7 @@
is_datetime64_any_dtype,
is_bool_dtype,
)
+from pandas.c... |
modin-project__modin-6769 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/partitioning/partition.py:PandasDataframePartition.to_numpy"
],
"edited_modules": [
"modin/core/dataframe/pandas/partitioning/partition.py:PandasDataframe... | modin-project/modin | b8323b5f46e25d257c08f55745c018197f7530f5 | `to_numpy` doesn't use `**kwargs` after #6704 in case of narrow dataframe
| diff --git a/modin/core/dataframe/pandas/partitioning/partition.py b/modin/core/dataframe/pandas/partitioning/partition.py
--- a/modin/core/dataframe/pandas/partitioning/partition.py
+++ b/modin/core/dataframe/pandas/partitioning/partition.py
@@ -209,7 +209,7 @@ def to_numpy(self, **kwargs):
If the underlying ... |
modin-project__modin-6298 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/numpy/arr.py:array.argmax",
"modin/numpy/arr.py:array.argmin"
],
"edited_modules": [
"modin/numpy/arr.py:array"
]
},
"file": "modin/numpy/arr.py"
}
] | modin-project/modin | 5cd15a51b00a6338783454c5ddb77da25422f7db | `numpy.argmax/argmin` failed when `ExperimentalNumPyAPI` is true and Nan values in data
Reproducer:
```python
import modin.pandas as pd
import numpy as np
from modin.config import ExperimentalNumPyAPI
ExperimentalNumPyAPI.put(True)
df = pd.DataFrame([[1,2,3], [4,5,None]])
df["new_col"] = np.argmax(df.values,... | diff --git a/modin/numpy/arr.py b/modin/numpy/arr.py
--- a/modin/numpy/arr.py
+++ b/modin/numpy/arr.py
@@ -2239,7 +2239,7 @@ def argmax(self, axis=None, out=None, keepdims=None):
na_mask = self._query_compiler.isna().any(axis=apply_axis)
if na_mask.any(axis=apply_axis ^ 1).to_numpy()[0, 0]:
... |
modin-project__modin-6772 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/partitioning/axis_partition.py:PandasDataframeAxisPartition.deploy_axis_func"
],
"edited_modules": [
"modin/core/dataframe/pandas/partitioning/axis_partit... | modin-project/modin | b8323b5f46e25d257c08f55745c018197f7530f5 | `Series.cumsum` failed with the following error: `ValueError: assignment destination is read-only`
Modin: b8323b5f46e25d257c08f55745c018197f7530f5
```python
import modin.pandas as pd
pd.Series([1, 2, 3], dtype="Int64").cumsum() # <- ValueError: assignment destination is read-only
```
| diff --git a/modin/core/dataframe/pandas/partitioning/axis_partition.py b/modin/core/dataframe/pandas/partitioning/axis_partition.py
--- a/modin/core/dataframe/pandas/partitioning/axis_partition.py
+++ b/modin/core/dataframe/pandas/partitioning/axis_partition.py
@@ -422,7 +422,13 @@ def deploy_axis_func(
dataf... |
modin-project__modin-6403 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/pandas/base.py:BasePandasDataset.diff"
],
"edited_modules": [
"modin/pandas/base.py:BasePandasDataset"
]
},
"file": "modin/pandas/base.py"
}
] | modin-project/modin | 2a6aafed41f7758d75dab88517c76b5cdb1905fc | BUG: `diff` does not work on datetime types
### 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 fol... | diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -1237,7 +1237,7 @@ def diff(self, periods=1, axis=0): # noqa: PR01, RT01, D200
# Attempting to match pandas error behavior here
for dtype in self._get_dtypes():
- if not is_n... |
modin-project__modin-6760 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.broadcast_apply_full_axis"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDatafra... | modin-project/modin | 275e32b43dbe64cbe8eef51034ce268194ef5e54 | PERF: `broadcast_apply_full_axis` can be implemented to compute caches in some cases
| 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
@@ -3272,6 +3272,27 @@ def broadcast_apply_full_axis(
kw["column... |
modin-project__modin-7200 | [
{
"changes": {
"added_entities": [
"modin/pandas/series.py:Series.__arrow_array__"
],
"added_modules": null,
"edited_entities": null,
"edited_modules": [
"modin/pandas/series.py:Series"
]
},
"file": "modin/pandas/series.py"
}
] | modin-project/modin | 177c912f65cc570734e1cbdfb7aa7e6ddb907abf | BUG: ArrowInvalid Error when Converting Concatenated Modin DataFrame to PyArrow Table
### 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 ... | diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -517,6 +517,14 @@ def values(self): # noqa: RT01, D200
data = pd.Categorical(data, dtype=self.dtype)
return data
+ def __arrow_array__(self, type=None): # noqa: GL08
+ ... |
modin-project__modin-6381 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._validate_axes_lengths",
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe.concat"
],
"edited_mod... | modin-project/modin | 60478925aae2ccdcb0bf1666b925a1b0db13a845 | modin.pandas significantly slower than pandas in concat()
I'm trying to locate different rows in a csv. file according to the values of 'uuid', which is a column in the csv. file.
The codes of modin version are shown below:
```
import ray
import time
ray.init(num_cpus=24)
import modin.pandas ... | 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
@@ -131,7 +131,11 @@ def __init__(
def _validate_axes_lengths(self):
"""V... |
modin-project__modin-7140 | [
{
"changes": {
"added_entities": null,
"added_modules": null,
"edited_entities": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:PandasDataframe._apply_func_to_range_partitioning"
],
"edited_modules": [
"modin/core/dataframe/pandas/dataframe/dataframe.py:Panda... | modin-project/modin | 9afc04933a32c0a4d70f57488f61ed7a78e017f0 | Add range-partitioning implementation for `df.resample()`
Requires #7117 to be finished first
| 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
@@ -2438,6 +2438,7 @@ def combine_and_apply(
dtypes=new_dtypes,
)
... |
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