id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
pandas_series/pandas_series_64_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_245_5.txt | das.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... | |
pandas_series/pandas_series_129_2.txt | ries.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas-settingwithcopywarning0_161_0.txt | When in doubt, avoid the confusion and use the ` .loc[] ` , ` .iloc[] ` , `
.at[] ` , and ` .iat[] ` access methods throughout your code!
### Hierarchical Indexing and ` SettingWithCopyWarning ` | |
pandas_series/pandas_series_120_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
* [ pandas.Series.str.casefold ](pandas.Series.str.casefold.html)
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pandas_series/pandas_series_235_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_112_6.txt | between particular times of the day (e.g., 9:00-9:30 AM).
By setting ` start_time ` to be later than ` end_time ` , you can get the
times that are _not_ between the two times.
Parameters :
**start_time** datetime.time or str
Initial time as a time filter limit.
**end_time** datetime.time or str
... | |
pandas_series/pandas_series_204_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_67_5.txt | Series.cat.rename_categories.html)
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pandas_series/selecting-in-pandas-using-where-and-mask2_27_0.txt |
>>> conditions = [
... (sal['salary_or_hourly'] == 'Salary') & (sal['department'].isin(['POLICE', 'FIRE'])),
... (sal['salary_or_hourly'] == 'Salary') & (~sal['department'].isin(['POLICE', 'FIRE'])),
... ]
>>> choices = [
... sal['annual_salary'] / (26 * 75),
... sa... | |
pandas_series/pandas_series_211_3.txt | ml)
* [ pandas.DataFrame.sparse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_268_2.txt | es.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas_series_194_6.txt | **locale** str, optional
Locale determining the language in which to return the day name. Default is
English locale ( ` 'en_US.utf8' ` ). Use the command ` locale -a ` on your
terminal on Unix systems to find your locale language code.
Returns :
Series or Index
Series or Index of day names.
E... | |
pandas_series/pandas.DataFrame.mask.html4_20_0.txt | Notes
The mask method is an application of the if-then idiom. For each element in
the calling DataFrame, if ` cond ` is ` False ` the element is used;
otherwise the corresponding element from the DataFrame ` other ` is used. If
the axis of ` other ` does not align with axis of ` cond ` Series/DataFrame,
the misal... | |
pandas_series/pandas_series_302_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_123_2.txt | vel.html)
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... | |
pandas_series/pandas_series_328_6.txt | 9-L7841) #
Fill NA/NaN values by using the next valid observation to fill the gap.
Deprecated since version 2.0: Series/DataFrame.backfill is deprecated. Use
Series/DataFrame.bfill instead.
Returns :
Series/DataFrame or None
Object with missing values filled or None if ` inplace=True ` .
Exam... | |
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pandas_series/pandas_series_91_6.txt | _ , _ origin = 'start_day' _ , _ offset = None _ ,
_ group_keys = False _ ) [ [source] ](https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/core/generic.py#L9379-L9781) #
Resample time-series data.
Convenience method for frequency conversion and resampling of time series. The
object must have... | |
pandas_series/pandas_series_133_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_45_1.txt | html)
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pandas_series/pandas-settingwithcopywarning0_49_0.txt |
>>> df = pd.DataFrame(data=data, index=index)
>>> df.loc[mask]["z"] = 0
__main__:1: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https:/... | |
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pandas_series/pandas_series_170_6.txt | None _ , _ legend = False _ , _ ** kwargs _ ) [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/plotting/_core.py#L47-L142) #
Draw histogram of the input series using matplotlib.
Parameters :
**by** object, optional
If passed, then used to form histograms for separate g... | |
pandas_series/pandas_series_206_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas.DataFrame.mask.html4_24_0.txt | pandas.DataFrame.where
next | |
pandas_series/pandas_series_131_5.txt | s.Series.cat.rename_categories.html)
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pandas_series/pandas.DataFrame.mask.html4_9_0.txt |
Where cond is False, keep the original value. Where True, replace with
corresponding value from other . If cond is callable, it is computed on
the Series/DataFrame and should return boolean Series/DataFrame or array. The
callable must not change input Series/DataFrame (though pandas doesnât check
it). | |
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pandas_series/dataframe-indexing.html6_25_0.txt | Dask Dataframe and SQL
© Copyright 2014-2018, Anaconda, Inc. and contributors. | |
pandas_series/pandas_series_15_6.txt | n of series and other, element-wise (binary operator
floordiv ).
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_32_6.txt | ng the Python string method [ ` str.isspace() `
](https://docs.python.org/3/library/stdtypes.html#str.isspace "\(in Python
v3.12\)") for each element of the Series/Index. If a string has zero
characters, ` False ` is returned for that check.
Returns :
Series or Index of bool
Series or Index of boolean... | |
pandas_series/pandas_series_104_6.txt | t)
or a pandas scalar (for Timestamp/Timedelta/Interval/Period)
Returns :
list
See also
[ ` numpy.ndarray.tolist `
](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.tolist.html#numpy.ndarray.tolist
"\(in NumPy v1.26\)")
Return the array as an a.ndim-levels deep nested list of Pyt... | |
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pandas_series/pandas_series_275_6.txt | or Series, returns a Series with boolean values. For DatetimeIndex, returns a
boolean array.
See also
[ ` is_month_start `
](pandas.Series.dt.is_month_start.html#pandas.Series.dt.is_month_start
"pandas.Series.dt.is_month_start")
Return a boolean indicating whether the date is the first day of the month.
` is... | |
pandas_series/pandas-settingwithcopywarning0_25_0.txt | Remove ads
## Example of a ` SettingWithCopyWarning ` | |
pandas_series/pandas_series_148_1.txt | rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_319_7.txt | 27
2020-01-06 15 18 22
2020-01-07 30 33 37
2020-01-08 45 48 52
>>> df['Col1'].shift(periods=[0, 1, 2])
Col1_0 Col1_1 Col1_2
2020-01-01 10 NaN NaN
2020-01-02 20 10.0 NaN
2020-01-03 15 20.0 10.0
... | |
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pandas_series/pandas_series_131_7.txt | [this is a, regular, sentence]
1 [https://docs.python.org/3/tutorial/index.html]
2 NaN
dtype: object
The pat parameter can be used to split by other characters.
>>> s.str.split(pat="/")
0 [th... | |
pandas_series/pandas-settingwithcopywarning0_20_0.txt | Python
>>> import numpy as np
>>> import pandas as pd
>>> np.__version__
'1.18.1'
>>> pd.__version__
'1.0.3'
| |
pandas_series/pandas_series_315_2.txt | vel.html)
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pandas_series/pandas_series_128_6.txt | ction is useful to plot lines using DataFrameâs values as
coordinates.
Parameters :
**x** label or position, optional
Allows plotting of one column versus another. If not specified, the index of
the DataFrame is used.
**y** label or position, optional
Allows plotting of one column versus anoth... | |
pandas_series/pandas_series_20_1.txt | html)
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pandas_series/pandas_series_171_6.txt | e "\(in Python
v3.12\)") objects with timezones.
The time part of the Timestamps.
Examples
For Series:
>>> s = pd.Series(["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"])
>>> s = pd.to_datetime(s)
>>> s
0 2020-01-01 10:00:00+00:00
1 2020-02-01 11:00:00+00:00
dtype: dateti... | |
pandas_series/pandas_series_110_3.txt | ml)
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pandas_series/pandas_series_205_6.txt | h string entirely matches a regular expression.
Parameters :
**pat** str
Character sequence or regular expression.
**case** bool, default True
If True, case sensitive.
**flags** int, default 0 (no flags)
Regex module flags, e.g. re.IGNORECASE.
**na** scalar, optional
Fill value f... | |
pandas_series/pandas-settingwithcopywarning0_47_0.txt | Invoking accessors is usually considered better practice than chained
assignment for these reasons:
1. The intention to modify ` df ` is clearer to pandas when you use a single method.
2. The code is cleaner for readers.
3. The accessors tend to have better performance, even though you won’t notice this in mos... | |
pandas_series/pandas_series_310_1.txt | html)
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pandas_series/pandas_series_152_2.txt | vel.html)
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pandas_series/pandas_series_267_1.txt | html)
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pandas_series/pandas_series_191_1.txt | html)
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pandas_series/pandas_series_334_1.txt | html)
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pandas_series/pandas-settingwithcopywarning0_136_0.txt | Python
>>> df = pd.DataFrame(data=data, index=index)
>>> df
x y z
a 1 1 45
b 2 3 98
c 4 9 24
d 8 27 11
e 16 81 64
>>> mask = df["z"] < 50
>>> mask
a True
b False
c True
d True
e False
Name: z,... | |
pandas_series/pandas_series_217_5.txt | ries.cat.rename_categories.html)
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pandas_series/pandas-settingwithcopywarning0_24_0.txt | * 10 minutes to pandas
* pandas DataFrames 101
* The pandas DataFrame: Make Working With Data Delightful
* Using pandas and Python to Explore Your Dataset
* Python pandas: Tricks & Features You May Not Know
Now you’re ready to start learning about views, copies, and the `
SettingWithCopyWarning ` ! | |
pandas_series/selecting-in-pandas-using-where-and-mask2_5_0.txt | Once the basics were covered in the first three posts we were able to move
onto more detailed topics on how to select and update data. In this post,
we’ll look at selecting using ` where ` and ` mask ` .
In the third post of this series, we covered the concept of boolean indexing.
If you remember, boolean indexing all... | |
pandas_series/pandas_series_277_1.txt | html)
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.
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