id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
pandas_series/pandas_series_25_2.txt | Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
* [ pandas.Series.equals ](pandas.Series.equals.html)
* [ pandas.Series.first ](pandas.Series.first.html)
* [ pandas.Series.head ](pandas.Series.head.html)
* [ pandas.Series.idx... | |
pandas_series/pandas_series_49_4.txt | andas.Series.str.capitalize.html)
* [ pandas.Series.str.casefold ](pandas.Series.str.casefold.html)
* [ pandas.Series.str.cat ](pandas.Series.str.cat.html)
* [ pandas.Series.str.center ](pandas.Series.str.center.html)
* [ pandas.Series.str.contains ](pandas.Series.str.contains.html)
* [ pandas.Serie... | |
pandas_series/pandas_series_283_4.txt | ndas.Series.str.capitalize.html)
* [ pandas.Series.str.casefold ](pandas.Series.str.casefold.html)
* [ pandas.Series.str.cat ](pandas.Series.str.cat.html)
* [ pandas.Series.str.center ](pandas.Series.str.center.html)
* [ pandas.Series.str.contains ](pandas.Series.str.contains.html)
* [ pandas.Series... | |
pandas_series/pandas_series_60_2.txt | drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
* [ pandas.Series.equals ](pandas.Series.equals.html)
* [ pandas.Series.first ](pandas.Series.first.html)
* [ pandas.Series.head ](pandas.Series.head.html)
* [ pandas.Series.idxmax ](p... | |
pandas_series/pandas_series_31_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
* [ pandas.Series.rmod ](pandas.Series.rmod.html)
* [ pandas.Series.rpow ](pandas.Series.rpow.html)
* [ pandas.Series.combine ](pandas.Series.combine.html)
* [ pandas.Serie... | |
pandas_series/pandas_series_302_5.txt | ies.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Series.cat.re... | |
pandas_series/pandas_series_101_2.txt | es.drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
* [ pandas.Series.equals ](pandas.Series.equals.html)
* [ pandas.Series.first ](pandas.Series.first.html)
* [ pandas.Series.head ](pandas.Series.head.html)
* [ pandas.Series.idxmax ... | |
pandas_series/dataframe-indexing.html6_23_0.txt |
>>> mask = ddf.id.map_partitions(lambda p: len(p.unique()) > 20).compute()
>>> ddf.partitions[mask]
Dask DataFrame Structure:
name id x y
npartitions=5
2021-01-01 object int64 float64 float64
2021-01-02 ... ... ... ...
... | |
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pandas_series/pandas_series_159_3.txt | ml)
* [ pandas.DataFrame.sparse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
* [ pandas.Series.dt.time ](pandas.Series.dt.time.html)
* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Ser... | |
pandas_series/pandas_series_73_6.txt |
Return sample standard deviation over requested axis.
Normalized by N-1 by default. This can be changed using the ddof argument.
Parameters :
**axis** {index (0)}
For Series this parameter is unused and defaults to 0.
Warning
The behavior of DataFrame.std with ` axis=None ` is deprecated, in ... | |
pandas_series/pandas_series_147_5.txt | (pandas.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Se... | |
pandas_series/pandas_series_180_6.txt | ne _ , _ method = 'single' _ ) [ [source] ](https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/core/generic.py#L12621-L12670) #
Provide exponentially weighted (EW) calculations.
Exactly one of ` com ` , ` span ` , ` halflife ` , or ` alpha ` must be
provided if ` times ` is not provided. If ` t... | |
pandas_series/pandas_series_259_4.txt | eries.str.capitalize.html)
* [ pandas.Series.str.casefold ](pandas.Series.str.casefold.html)
* [ pandas.Series.str.cat ](pandas.Series.str.cat.html)
* [ pandas.Series.str.center ](pandas.Series.str.center.html)
* [ pandas.Series.str.contains ](pandas.Series.str.contains.html)
* [ pandas.Series.str.c... | |
pandas_series/pandas_series_237_7.txt | 10
fish 0 0 8
dog 4 0 2
fish 0 0 8
dog 4 0 2
Using a DataFrame column as weights. Rows with larger value in the
num_specimen_seen column are more l... | |
pandas_series/pandas_series_335_3.txt | arse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
* [ pandas.Series.dt.time ](pandas.Series.dt.time.html)
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pandas_series/pandas_series_312_5.txt | s.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Series.c... | |
pandas_series/pandas_series_320_2.txt | es.drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
* [ pandas.Series.equals ](pandas.Series.equals.html)
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pandas_series/pandas_series_118_5.txt | ries.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Series.cat.r... | |
pandas_series/pandas_series_268_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
* [ pandas.Series.rmod ](pandas.Series.rmod.html)
* [ pandas.Series.rpow ](pandas.Series.rpow.html)
* [ pandas.Series.combine ](pandas.Series.combine.html)
* [ pandas.Serie... | |
pandas_series/pandas_series_23_6.txt | the original string will be returned.
Parameters :
**prefix** str
Remove the prefix of the string.
Returns :
Series/Index: object
The Series or Index with given prefix removed.
See also
[ ` Series.str.removesuffix `
](pandas.Series.str.removesuffix.html#pandas.Series.str.removesuffix
... | |
pandas_series/pandas_series_247_1.txt | rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
* [ pandas.Series.rmod ](pandas.Series.rmod.html)
* [ pandas.Series.rpow ](pandas.Series.rpow.html)
* [ pandas.Series.combine ](pandas.Series.combine.html)
* [ pandas.Series.combine_first ](pandas.Ser... | |
pandas_series/pandas-settingwithcopywarning0_34_0.txt |
>>> mask = df["z"] < 50
>>> mask
a True
b False
c True
d True
e False
Name: z, dtype: bool
>>> df[mask]
x y z
a 1 1 45
c 4 9 24
d 8 27 11
Copied! | |
pandas_series/pandas_series_63_2.txt | vel.html)
* [ pandas.Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
* [ pandas.Series.equals ](pandas.Series.equals.html)
* [ pandas.Series.first ](pandas.Series.first.html)
* [ pandas.Series.head ](pandas.Series.head.html)
... | |
pandas_series/pandas_series_236_5.txt | ies.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Series.cat.re... | |
pandas_series/pandas_series_71_6.txt | ost common value in the array.
Examples
>>> ser = pd.Series([0, 0, 2, 2, 2], dtype="Sparse[int]")
>>> ser.sparse.fill_value
0
>>> spa_dtype = pd.SparseDtype(dtype=np.int32, fill_value=2)
>>> ser = pd.Series([0, 0, 2, 2, 2], dtype=spa_dtype)
>>> ser.sparse.fill_value
2
[ __ ... | |
pandas_series/pandas_series_294_6.txt | is deprecated and will be
removed in a future version. Use [ ` Series.astype() `
](pandas.Series.astype.html#pandas.Series.astype "pandas.Series.astype") as an
alternative to change the dtype.
This function will return a new Series with a view of the same underlying
values in memory, optionally reinterpreted with a ... | |
pandas_series/pandas_series_164_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
* [ pandas.Series.str.casefold ](pandas.Series.str.casefold.html)
* [ pandas.Series.str.cat ](pandas.Series.str.cat.html)
* [ pandas.Series.str.center ](pandas.Series.str.center.html)
* [ pandas.Series.str.contains ](pandas.Series.str.conta... | |
pandas_series/pandas_series_11_3.txt | arse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
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* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Series.dt.year ](pandas.Series.dt.... | |
pandas_series/pandas_series_147_3.txt | e.sparse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
* [ pandas.Series.dt.time ](pandas.Series.dt.time.html)
* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Series.dt.year ](pandas.Series... | |
pandas_series/pandas_series_222_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
* [ pandas.Series.rmod ](pandas.Series.rmod.html)
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pandas_series/pandas_series_231_6.txt | s and other, element-wise (binary operator rmod ).
Equivalent to ` other % series ` , but with support to substitute a
fill_value for missing data in either one of the inputs.
Parameters :
**other** Series or scalar value
**level** int or name
Broadcast across a level, matching Index values ... | |
pandas_series/pandas_series_160_3.txt | ml)
* [ pandas.DataFrame.sparse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
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* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
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pandas_series/pandas_series_84_3.txt | ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
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* [ pandas.Series.dt.year ](pandas.Series.dt.year.... | |
pandas_series/pandas_series_265_8.txt | s.io/en/stable/index.html) 0.14.4.
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pandas_series/pandas_series_272_3.txt | ml)
* [ pandas.DataFrame.sparse ](pandas.DataFrame.sparse.html)
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* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
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* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Ser... | |
pandas_series/pandas_series_177_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
* [ pandas.Series.rmod ](pandas.Series.rmod.html)
* [ pandas.Series.rpow ](pandas.Series.rpow.html)
* [ pandas.Series.combine ](pandas.Series.combine.html)
* [ pandas.Serie... | |
pandas_series/pandas_series_17_6.txt | object indicating if the values are NA. NA values,
such as None or ` numpy.NaN ` , gets mapped to True values. Everything else
gets mapped to False values. Characters such as empty strings ` '' ` or `
numpy.inf ` are not considered NA values (unless you set `
pandas.options.mode.use_inf_as_na = True ` ).
Returns... | |
pandas_series/pandas_series_295_4.txt | ndas.Series.str.capitalize.html)
* [ pandas.Series.str.casefold ](pandas.Series.str.casefold.html)
* [ pandas.Series.str.cat ](pandas.Series.str.cat.html)
* [ pandas.Series.str.center ](pandas.Series.str.center.html)
* [ pandas.Series.str.contains ](pandas.Series.str.contains.html)
* [ pandas.Series... | |
pandas_series/pandas_series_285_6.txt | kwargs _ ) [ [source] ](https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/core/generic.py#L8197-L8513) #
Fill NaN values using an interpolation method.
Please note that only ` method='linear' ` is supported for DataFrame/Series
with a MultiIndex.
Parameters :
**method** str, default âlinea... | |
pandas_series/pandas_series_226_2.txt | vel.html)
* [ pandas.Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
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... | |
pandas_series/pandas_series_232_3.txt | ndas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
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* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Series.dt.year ](pandas.Series.dt.year.html... | |
pandas_series/pandas_series_188_2.txt | es.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas-settingwithcopywarning0_159_0.txt | Python
>>> df = pd.DataFrame(data=data, index=index).astype(dtype={"z": float})
>>> df
x y z
a 1 1 45.0
b 2 3 98.0
c 4 9 24.0
d 8 27 11.0
e 16 81 64.0
>>> df.dtypes
x int64
y int64
z float64
dtype: object
... | |
pandas_series/pandas_series_99_2.txt | vel.html)
* [ pandas.Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas_series_269_6.txt | e Series/Index.
Equivalent to applying [ ` re.findall() `
](https://docs.python.org/3/library/re.html#re.findall "\(in Python v3.12\)")
to all the elements in the Series/Index.
Parameters :
**pat** str
Pattern or regular expression.
**flags** int, default 0
Flags from ` re ` module, e.g. re.... | |
pandas_series/pandas_series_69_5.txt | das.Series.cat.rename_categories.html)
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* [ pandas.Series... | |
pandas_series/pandas_series_94_5.txt | eries.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Series.cat.... | |
pandas_series/pandas-settingwithcopywarning0_75_0.txt |
>>> from sys import getsizeof
>>> getsizeof(arr)
144
>>> getsizeof(view_of_arr)
96
>>> getsizeof(copy_of_arr)
144
Copied! | |
pandas_series/pandas_series_178_2.txt | vel.html)
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... | |
pandas_series/pandas_series_40_5.txt | as.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
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* [ pandas.Series.... | |
pandas_series/pandas_series_107_3.txt | se ](pandas.DataFrame.sparse.html)
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* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
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pandas_series/pandas_series_82_4.txt | andas.Series.str.capitalize.html)
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pandas_series/pandas-settingwithcopywarning0_40_0.txt | Usually, you don’t want this! You want to modify ` df ` and not some
intermediate data structure that isn’t referenced by any variable. That’s why
pandas issues a ` SettingWithCopyWarning ` and warns you about this possible
mistake.
In this case, the proper way to modify ` df ` is to apply one of the
accessors ` .loc... | |
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pandas_series/pandas-settingwithcopywarning0_32_0.txt | * Purple box: Data
* Blue box: Column labels
* Red box: Row labels
The DataFrame stores additional information, or metadata, including its shape,
data types, and so on. | |
pandas_series/pandas_series_233_3.txt | e.sparse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
* [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
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pandas_series/pandas_series_5_3.txt | ml)
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pandas_series/pandas_series_80_6.txt | 7637) #
Fill NA/NaN values by propagating the last valid observation to next valid.
Deprecated since version 2.0: Series/DataFrame.pad is deprecated. Use
Series/DataFrame.ffill instead.
Returns :
Series/DataFrame or None
Object with missing values filled or None if ` inplace=True ` .
Examples... | |
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pandas_series/pandas_series_108_6.txt | are prefixed. For DataFrame, the column labels are
prefixed.
Parameters :
**prefix** str
The string to add before each label.
**axis** {0 or âindexâ, 1 or âcolumnsâ, None}, default None
Axis to add prefix on
New in version 2.0.0.
Returns :
Series or DataFrame
New Series... | |
pandas_series/dataframe-indexing.html6_10_0.txt | ` DataFrame.iloc ` | Purely integer-location based indexing for selection by position.
---|---
` DataFrame.loc ` | Purely label-location based indexer for selection by label.
## Label-based Indexing ¶
Just like Pandas, Dask DataFrame supports label-based indexing with the ` .loc
` accessor for selecti... | |
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pandas_series/pandas-settingwithcopywarning0_4_0.txt | 🐍 Python Tricks 💌
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pandas_series/pandas_series_179_6.txt | al to of series and other, element-wise (binary
operator ge ).
Equivalent to ` series >= other ` , but with support to substitute a
fill_value for missing data in either one of the inputs.
Parameters :
**other** Series or scalar value
**level** int or name
Broadcast across a level, matching ... | |
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pandas_series/pandas_series_290_6.txt | ange without warning.
See also
` DataFrame.flags `
Global flags applying to this object.
Notes
Many operations that create new datasets will copy ` attrs ` . Copies are
always deep so that changing ` attrs ` will only affect the present dataset.
` pandas.concat ` copies ` attrs ` only if all input datas... | |
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