id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
pandas_series/pandas_series_93_5.txt | .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.remov... | |
pandas_series/pandas-settingwithcopywarning0_116_0.txt | Referencing multidimensional arrays follows the same principles:
* Slicing arrays returns views.
* Using index and mask arrays returns copies. | |
pandas_series/pandas_series_30_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_121_0.txt | Skip to main content
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pandas_series/pandas_series_159_6.txt | categories ` can include new categories (which will result in unused
categories) or remove old categories (which results in values set to ` NaN `
). If ` rename=True ` , the categories will simply be renamed (less or more
items than in old categories will result in values set to ` NaN ` or in
unused categories resp... | |
pandas_series/pandas_series_125_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_294_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)
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... | |
pandas_series/pandas_series_316_6.txt | https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/core/series.py#L2133-L2248) #
Group Series using a mapper or by a Series of columns.
A groupby operation involves some combination of splitting the object,
applying a function, and combining the results. This can be used to group
large amounts of data and... | |
pandas_series/pandas-settingwithcopywarning0_98_0.txt | Note: When you have a large original array and need only a small part of it,
you can call ` .copy() ` after slicing and delete the variable that points to
the original with a ` del ` statement . This way, you keep the copy and
remove the original array from memory.
Though slicing returns a view, there are other cas... | |
pandas_series/pandas_series_324_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_246_6.txt | ies with the same axis shape as self.
Parameters :
**func** function, str, list-like or dict-like
Function to use for transforming the data. If a function, must either work
when passed a Series or when passed to Series.apply. If func is both list-like
and dict-like, dict-like behavior takes precedence.
... | |
pandas_series/pandas_series_8_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_38_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)
* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Series.... | |
pandas_series/pandas_series_3_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)
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* [ pandas.Series.str.contains ](pandas.Series.str.conta... | |
pandas_series/pandas-settingwithcopywarning0_73_0.txt | Copied!
The amount of memory is the same for all arrays: 48 bytes. Each array looks at
six integer elements of 8 bytes (64 bits) each. That’s 48 bytes in total. | |
pandas_series/pandas_series_100_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_29_6.txt | v/pandas/blob/v2.2.1/pandas/core/generic.py#L7139-L7443) #
Fill NA/NaN values using the specified method.
Parameters :
**value** scalar, dict, Series, or DataFrame
Value to use to fill holes (e.g. 0), alternately a dict/Series/DataFrame of
values specifying which value to use for each index (for ... | |
pandas_series/pandas-settingwithcopywarning0_97_0.txt | You’ve created the original array ` arr ` and sliced it to get two smaller
arrays, ` a ` and ` b ` . Both ` a ` and ` b ` use ` arr ` as their bases and
neither has its own data. Instead, they look at the data of ` arr ` :
The green indices in the image above are taken by slicing. Both ` a ` and ` b
` look at the corr... | |
pandas_series/pandas_series_143_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_29_7.txt | , columns=list("ABCE"))
>>> df.fillna(df2)
A B C D
0 0.0 2.0 0.0 0.0
1 3.0 4.0 0.0 1.0
2 0.0 0.0 0.0 NaN
3 0.0 3.0 0.0 4.0
Note that column D is not affected since it is not present in df2.
[ __ previous pandas.Series.ffill ](pandas.Series.ffill.html "previ... | |
pandas_series/pandas_series_157_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)
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* [ pandas.Series.str.contains ](pandas.Series.str.contains.html)
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pandas_series/pandas_series_195_6.txt | tps://docs.python.org/3/library/stdtypes.html#str.lower "\(in Python
v3.12\)") .
Returns :
Series or Index of object
See also
` Series.str.lower `
Converts all characters to lowercase.
[ ` Series.str.upper ` ](pandas.Series.str.upper.html#pandas.Series.str.upper
"pandas.Series.str.upper")
... | |
pandas_series/pandas_series_82_6.txt | .1/pandas/core/series.py#L4985-L5089) #
Alter Series index labels or name.
Function / dict values must be unique (1-to-1). Labels not contained in a dict
/ Series will be left as-is. Extra labels listed donât throw an error.
Alternatively, change ` Series.name ` with a scalar value.
See the [ user guide ]... | |
pandas_series/pandas_series_89_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_34_6.txt | sing values.
The two Series objects are not required to be the same length and will be
aligned internally before the covariance is calculated.
Parameters :
**other** Series
Series with which to compute the covariance.
**min_periods** int, optional
Minimum number of observations needed to have... | |
pandas_series/pandas_series_102_0.txt | Skip to main content
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pandas_series/pandas_series_252_6.txt |
DataFrame
With columns year, week and day.
See also
[ ` Timestamp.isocalendar `
](pandas.Timestamp.isocalendar.html#pandas.Timestamp.isocalendar
"pandas.Timestamp.isocalendar")
Function return a 3-tuple containing ISO year, week number, and weekday for
the given Timestamp object.
[ ` datetime.date.is... | |
pandas_series/pandas_series_314_5.txt | ies.cat.rename_categories ](pandas.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
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pandas_series/pandas_series_276_2.txt | vel.html)
* [ pandas.Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
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... | |
pandas_series/pandas_series_72_6.txt | .1/pandas/core/generic.py#L9946-L10101) #
Compute numerical data ranks (1 through n) along axis.
By default, equal values are assigned a rank that is the average of the ranks
of those values.
Parameters :
**axis** {0 or âindexâ, 1 or âcolumnsâ}, default 0
Index to direct ranking. For Se... | |
pandas_series/pandas_series_120_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)
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* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
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* [ pandas.Serie... | |
pandas_series/pandas_series_12_6.txt | ti-set, as it may contain duplicate labels), and is used to
index and align data in pandas.
Returns :
Index
The index labels of the Series.
See also
[ ` Series.reindex ` ](pandas.Series.reindex.html#pandas.Series.reindex
"pandas.Series.reindex")
Conform Series to new index.
[ ` Index ` ](pan... | |
pandas_series/pandas_series_146_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_93_2.txt | vel.html)
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pandas_series/pandas_series_7_2.txt | ies.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas_series_281_3.txt | ml)
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pandas_series/pandas_series_328_3.txt | rse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_194_5.txt | Series.cat.rename_categories.html)
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pandas_series/pandas_series_164_7.txt | e.to_sql ` ](pandas.DataFrame.to_sql.html#pandas.DataFrame.to_sql
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Write to a SQL table.
[ ` DataFrame.to_feather `
](pandas.DataFrame.to_feather.html#pandas.DataFrame.to_feather
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Write out feather-format for DataFrames.
[ ` DataFrame.to_csv ` ]... | |
pandas_series/pandas_series_56_4.txt | ndas.Series.str.capitalize.html)
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pandas_series/pandas_series_109_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_49_6.txt | the maximum value.
If multiple values equal the maximum, the first row label with that value is
returned.
Parameters :
**axis** {0 or âindexâ}
Unused. Parameter needed for compatibility with DataFrame.
**skipna** bool, default True
Exclude NA/null values. If the entire Series is NA, the res... | |
pandas_series/pandas_series_14_5.txt | pandas.Series.cat.rename_categories.html)
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pandas_series/pandas_series_131_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_257_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_189_2.txt | ries.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.idxma... | |
pandas_series/pandas_series_182_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_4_6.txt | s,
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 :
Series
Mask of bool values for... | |
pandas_series/pandas_series_63_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)
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pandas_series/pandas_series_2_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)
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pandas_series/pandas_series_185_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_272_6.txt | the Series/Index are padded with â0â characters on the left of
the string to reach a total string length width . Strings in the
Series/Index with length greater or equal to width are unchanged.
Parameters :
**width** int
Minimum length of resulting string; strings with length less than width ... | |
pandas_series/pandas_series_312_6.txt | tps://docs.python.org/3/library/stdtypes.html#str.title "\(in Python
v3.12\)") .
Returns :
Series or Index of object
See also
[ ` Series.str.lower ` ](pandas.Series.str.lower.html#pandas.Series.str.lower
"pandas.Series.str.lower")
Converts all characters to lowercase.
[ ` Series.str.upper ` ]... | |
pandas_series/pandas_series_49_3.txt | parse ](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)
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pandas_series/pandas_series_202_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.Se... | |
pandas_series/pandas_series_254_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-settingwithcopywarning0_67_0.txt | A deep copy of a NumPy array, sometimes called just a copy , is a separate
NumPy array that has its own data. The data of a deep copy is obtained by
copying the elements of the original array into the new array. The original
and the copy are two separate instances. You can create a copy of an array
with ` .copy() ... | |
pandas_series/pandas-settingwithcopywarning0_87_0.txt | You’ve assigned zeros to all elements of the column ` z ` in ` df ` . That
causes a change in ` view_of_df ` , but ` copy_of_df ` remains unmodified.
Rows and column labels also exhibit the same behavior: | |
pandas_series/pandas_series_198_4.txt | 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.str.... | |
pandas_series/pandas_series_251_3.txt | .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_143_4.txt | das.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_265_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)
* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Series.dt.year ](pandas.Series.dt.... | |
pandas_series/pandas.DataFrame.mask.html4_16_0.txt | Returns :
| |
pandas_series/pandas_series_20_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_241_3.txt | se ](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.dt.ye... | |
pandas_series/pandas_series_48_2.txt | s.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/pandas_series_99_6.txt |
Create a scipy.sparse.coo_matrix from a Series with MultiIndex.
Use row_levels and column_levels to determine the row and column coordinates
respectively. row_levels and column_levels are the names (labels) or numbers
of the levels. {row_levels, column_levels} must be a partition of the
MultiIndex level names (or n... | |
pandas_series/pandas_series_72_7.txt | ries.quantile ](pandas.Series.quantile.html "previous
page") [ next pandas.Series.sem __ ](pandas.Series.sem.html "next page")
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pandas_series/pandas_series_143_3.txt | rse ](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.dt.y... | |
pandas_series/pandas_series_208_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_281_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_87_6.txt | lipboard.
Write a text representation of object to the system clipboard. This can be
pasted into Excel, for example.
Parameters :
**excel** bool, default True
Produce output in a csv format for easy pasting into excel.
* True, use the provided separator for csv pasting.
* False, write a string r... | |
pandas_series/pandas_series_13_3.txt | parse ](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.dt... | |
pandas_series/pandas_series_170_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_31_6.txt | xpanding window calculations.
Parameters :
**min_periods** int, default 1
Minimum number of observations in window required to have a value; otherwise,
result is ` np.nan ` .
**axis** int or str, default 0
If ` 0 ` or ` 'index' ` , roll across the rows.
If ` 1 ` or ` 'columns' ` , roll acr... |
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