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Z dd Zdd Zy)é )Ú annotations)Ú TYPE_CHECKINGN)Úremove_na_arraylike)Ú
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MultiIndexÚconcat)Úunpack_single_str_list)ÚHashable)Ú
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IndexLabel)Ú DataFrameÚSeriesc ó |dk( rd}nd}t | j t « sJ | j j | D ci c]2 }|| j dd
| j j |« |k( f 4 c}S c c}w )a~
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Create data for iteration given `by` is assigned or not, and it is only
|
used in both hist and boxplot.
|
|
If `by` is assigned, return a dictionary of DataFrames in which the key of
|
dictionary is the values in groups.
|
If `by` is not assigned, return input as is, and this preserves current
|
status of iter_data.
|
|
Parameters
|
----------
|
data : reformatted grouped data from `_compute_plot_data` method.
|
kind : str, plot kind. This function is only used for `hist` and `box` plots.
|
|
Returns
|
-------
|
iter_data : DataFrame or Dictionary of DataFrames
|
|
Examples
|
--------
|
If `by` is assigned:
|
|
>>> import numpy as np
|
>>> tuples = [('h1', 'a'), ('h1', 'b'), ('h2', 'a'), ('h2', 'b')]
|
>>> mi = pd.MultiIndex.from_tuples(tuples)
|
>>> value = [[1, 3, np.nan, np.nan],
|
... [3, 4, np.nan, np.nan], [np.nan, np.nan, 5, 6]]
|
>>> data = pd.DataFrame(value, columns=mi)
|
>>> create_iter_data_given_by(data)
|
{'h1': h1
|
a b
|
0 1.0 3.0
|
1 3.0 4.0
|
2 NaN NaN, 'h2': h2
|
a b
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0 NaN NaN
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1 NaN NaN
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2 5.0 6.0}
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Úhistr é N)Ú
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isinstanceÚcolumnsr ÚlevelsÚlocÚget_level_values)ÚdataÚkindÚlevelÚcols úVH:\Change_password\venv_build\Lib\site-packages\pandas/plotting/_matplotlib/groupby.pyÚcreate_iter_data_given_byr s ð^ v~Øàô dll¤JÔ /Ð/Ð /ð <<×&Ñ& uÑ-ö à ð TXXa ×6Ñ6°uÓ=ÀÑDÐDÑ EÑEò ð ùò s Á7A<c óÚ t |« }| j |« }g }|D ]: \ }}t j |g|g« }|| } || _ |j | « < t |d¬« } | S )al
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Internal function to group data, and reassign multiindex column names onto the
|
result in order to let grouped data be used in _compute_plot_data method.
|
|
Parameters
|
----------
|
data : Original DataFrame to plot
|
by : grouped `by` parameter selected by users
|
cols : columns of data set (excluding columns used in `by`)
|
|
Returns
|
-------
|
Output is the reconstructed DataFrame with MultiIndex columns. The first level
|
of MI is unique values of groups, and second level of MI is the columns
|
selected by users.
|
|
Examples
|
--------
|
>>> d = {'h': ['h1', 'h1', 'h2'], 'a': [1, 3, 5], 'b': [3, 4, 6]}
|
>>> df = pd.DataFrame(d)
|
>>> reconstruct_data_with_by(df, by='h', cols=['a', 'b'])
|
h1 h2
|
a b a b
|
0 1.0 3.0 NaN NaN
|
1 3.0 4.0 NaN NaN
|
2 NaN NaN 5.0 6.0
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r )Úaxis)r Úgroupbyr Ú from_productr Úappendr )
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r ÚbyÚcolsÚ by_modifiedÚgroupedÚ data_listÚkeyÚgroupr Ú sub_groups
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r Úreconstruct_data_with_byr( X s~ ô< )¨Ó,KØll;Ó'GàIØ ò $
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Uô ×)Ñ)¨C¨5°$¨-Ó8Ø$K Ø # ÔØ×ÑÕ#ð $ô ) !Ô $DØ Kó c óÖ |Xt | j « dkD r@t j | j D cg c] }t |« c}« j S t | « S c c}w )zàInternal function to reformat y given `by` is applied or not for hist plot.
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