id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
pandas_series/pandas_series_298_2.txt | vel.html)
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pandas_series/pandas_series_92_2.txt | vel.html)
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pandas_series/pandas_series_101_1.txt | truediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_280_1.txt | html)
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pandas_series/pandas_series_168_3.txt | se ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
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pandas_series/pandas_series_51_5.txt | Series.cat.rename_categories.html)
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pandas_series/pandas_series_280_3.txt | me.sparse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_260_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_101_4.txt | pandas.Series.str.capitalize.html)
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pandas_series/pandas.DataFrame.mask.html4_4_0.txt | * GitHub
* Twitter
* Mastodon
* Input/output
* General functions
* Series
* DataFrame
* pandas.DataFrame
* pandas.DataFrame.index
* pandas.DataFrame.columns
* pandas.DataFrame.dtypes
* pandas.DataFrame.info
* pandas.DataFrame.select_dtypes
* pandas.DataFrame.value... | |
pandas_series/pandas_series_264_2.txt | ies.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas-settingwithcopywarning0_165_0.txt | 1. The first level contains the labels ` powers ` and ` random ` .
2. The second level has the labels ` x ` and ` y ` , which belong to ` powers ` , and ` z ` , which belongs to ` random ` .
The expression ` df["powers"] ` will return a DataFrame containing all columns
below ` powers ` , which are the columns ... | |
pandas_series/pandas_series_221_2.txt | vel.html)
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... | |
pandas_series/pandas_series_37_6.txt | ange("2000-01-01", periods=3, freq="D")
... )
>>> datetime_series
0 2000-01-01
1 2000-01-02
2 2000-01-03
dtype: datetime64[ns]
>>> datetime_series.dt.day
0 1
1 2
2 3
dtype: int32
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pandas_series/pandas_series_201_3.txt | parse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_237_3.txt | parse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_101_5.txt | andas.Series.cat.rename_categories.html)
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pandas_series/pandas_series_44_6.txt | #
Return the sum of the values over the requested axis.
This is equivalent to the method ` numpy.sum ` .
Parameters :
**axis** {index (0)}
Axis for the function to be applied on. For Series this parameter is unused
and defaults to 0.
Warning
The behavior of DataFrame.sum with ` axis=None `... | |
pandas_series/pandas_series_217_6.txt | n of object-dtyped columns, leaving non-object and
unconvertible columns unchanged. The inference rules are the same as during
normal Series/DataFrame construction.
Parameters :
**copy** bool, default True
Whether to make a copy for non-object or non-inferable columns or Series.
Note
The copy keywor... | |
pandas_series/pandas_series_6_1.txt | html)
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pandas_series/pandas-settingwithcopywarning0_209_0.txt | ×
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pandas_series/pandas_series_222_6.txt | ed Series to make updates. Aligns on index.
Parameters :
**other** Series, or object coercible into Series
Examples
>>> s = pd.Series([1, 2, 3])
>>> s.update(pd.Series([4, 5, 6]))
>>> s
0 4
1 5
2 6
dtype: int64
>>> s = pd.Series(['a', 'b... | |
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pandas_series/selecting-in-pandas-using-where-and-mask2_11_0.txt | The ` .mask ` method is just the inverse of ` where ` . Instead of selecting
values based on the condition, it selects values where the condition is `
False ` . Everthing else is the same as above.
>>> s.mask(s % 2 != 0, 99)
0 0
1 99
2 -2
3 99
4 -4
5 99
6 ... | |
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pandas_series/pandas-settingwithcopywarning0_197_0.txt | Aldren
Brad | |
pandas_series/pandas-settingwithcopywarning0_144_0.txt | Copied!
In this case, ` df.loc[mask] ` returns a copy, the assignment fails, and
pandas correctly issues the warning. | |
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... | |
pandas_series/selecting-in-pandas-using-where-and-mask2_6_0.txt |
>>> import pandas as pd
>>> import numpy as np
>>>
>>> s = pd.Series(np.arange(10))
>>> s[s % 2 != 0]
1 1
3 3
5 5
7 7
9 9
dtype: int64
## Where? | |
pandas_series/pandas_series_271_1.txt | html)
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... | |
pandas_series/pandas_series_77_6.txt | used to form a
DataFrame. It is also used whenever displaying the Series using the
interpreter.
Returns :
label (hashable object)
The name of the Series, also the column name if part of a DataFrame.
See also
[ ` Series.rename ` ](pandas.Series.rename.html#pandas.Series.rename
"pandas.Series.rename")... | |
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pandas_series/pandas_series_43_7.txt | 00+02:00 1
2018-10-28 02:30:00+02:00 2
2018-10-28 02:00:00+01:00 3
2018-10-28 02:30:00+01:00 4
2018-10-28 03:00:00+01:00 5
2018-10-28 03:30:00+01:00 6
dtype: int64
In some cases, inferring the DST is impossible. In such cases, you can pass an
ndarray to the ambiguous para... | |
pandas_series/pandas-settingwithcopywarning0_6_0.txt | * * *
api best-practices career community databases data-science data-
structures data-viz devops django docker editors flask front-end
gamedev gui machine-learning numpy projects python testing tools web-
dev web-scraping | |
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pandas_series/pandas_series_248_5.txt | andas.Series.cat.rename_categories.html)
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pandas_series/pandas_series_289_1.txt | html)
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pandas_series/pandas_series_263_3.txt | ml)
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pandas_series/dataframe-indexing.html6_13_0.txt |
>>> ddf[['B', 'A']]
Dask DataFrame Structure:
B A
npartitions=1
a int64 int64
c ... ...
Dask Name: getitem, 2 tasks
Selecting a single column reduces to a Dask Series: | |
pandas_series/pandas_series_210_2.txt | vel.html)
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pandas_series/pandas_series_268_4.txt | pandas.Series.str.capitalize.html)
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pandas_series/dataframe-indexing.html6_7_0.txt | * Label-based Indexing
* Positional Indexing
* Partition Indexing
# Indexing into Dask DataFrames | |
pandas_series/pandas_series_275_4.txt | ies.str.capitalize.html)
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pandas_series/pandas_series_83_3.txt | ml)
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pandas_series/pandas-settingwithcopywarning0_10_0.txt | Mark as Completed
Share Share Email | |
pandas_series/pandas_series_335_5.txt | das.Series.cat.rename_categories.html)
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pandas_series/pandas_series_304_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_207_6.txt | nt compared with another element in
the Series (default is element in previous row).
Parameters :
**periods** int, default 1
Periods to shift for calculating difference, accepts negative values.
Returns :
Series
First differences of the Series.
See also
[ ` Series.pct_change `
](panda... | |
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pandas_series/pandas_series_230_6.txt | rn.
Equivalent to [ ` str.startswith() `
](https://docs.python.org/3/library/stdtypes.html#str.startswith "\(in Python
v3.12\)") .
Parameters :
**pat** str or tuple[str, â¦]
Character sequence or tuple of strings. Regular expressions are not accepted.
**na** object, default NaN
Object shown i... | |
pandas_series/dataframe-indexing.html6_3_0.txt | Internals
* Understanding Performance
* Scheduling
* Task Graphs
* Specification
* Custom Graphs
* Optimization
* Advanced graph manipulation
* Custom Collections
* High Level Graphs
* Debugging and Performance
* Debug
* Visualize task graphs
* Dashboard
* D... | |
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pandas_series/pandas_series_229_3.txt | parse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_14_1.txt | html)
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pandas_series/pandas_series_277_3.txt | ml)
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pandas_series/pandas_series_9_5.txt | s.Series.cat.rename_categories.html)
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pandas_series/pandas_series_109_7.txt | False
2 True
3 False
dtype: bool
The ` s5.str.istitle ` method checks for whether all words are in title case
(whether only the first letter of each word is capitalized). Words are assumed
to be as any sequence of non-numeric characters separated by whitespace
characters.
>>> s... | |
pandas_series/pandas-settingwithcopywarning0_164_0.txt | Copied!
Now you have the DataFrame ` df ` with two-level column indices: | |
pandas_series/pandas_series_36_5.txt | ies.cat.rename_categories.html)
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pandas_series/pandas_series_319_2.txt | vel.html)
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... | |
pandas_series/pandas_series_291_6.txt |
Pickle (serialize) object to file.
Parameters :
**path** str, path object, or file-like object
String, path object (implementing ` os.PathLike[str] ` ), or file-like object
implementing a binary ` write() ` function. File path where the pickled
object will be stored.
**compression** str or dict... | |
pandas_series/pandas-settingwithcopywarning0_88_0.txt | Python
>>> view_of_df.index is df.index
True
>>> view_of_df.columns is df.columns
True
>>> copy_of_df.index is df.index
False
>>> copy_of_df.columns is df.columns
False
| |
pandas_series/pandas_series_50_3.txt | ml)
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pandas_series/pandas_series_3_2.txt | vel.html)
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