@@ -28,7 +28,7 @@ def hist_series(
28
28
yrot = None ,
29
29
figsize = None ,
30
30
bins = 10 ,
31
- ** kwds
31
+ ** kwargs
32
32
):
33
33
"""
34
34
Draw histogram of the input series using matplotlib.
@@ -56,7 +56,7 @@ def hist_series(
56
56
bin edges are calculated and returned. If bins is a sequence, gives
57
57
bin edges, including left edge of first bin and right edge of last
58
58
bin. In this case, bins is returned unmodified.
59
- `**kwds` : keywords
59
+ **kwargs
60
60
To be passed to the actual plotting function
61
61
62
62
Returns
@@ -80,7 +80,7 @@ def hist_series(
80
80
yrot = yrot ,
81
81
figsize = figsize ,
82
82
bins = bins ,
83
- ** kwds
83
+ ** kwargs
84
84
)
85
85
86
86
@@ -99,7 +99,7 @@ def hist_frame(
99
99
figsize = None ,
100
100
layout = None ,
101
101
bins = 10 ,
102
- ** kwds
102
+ ** kwargs
103
103
):
104
104
"""
105
105
Make a histogram of the DataFrame's.
@@ -151,7 +151,7 @@ def hist_frame(
151
151
bin edges are calculated and returned. If bins is a sequence, gives
152
152
bin edges, including left edge of first bin and right edge of last
153
153
bin. In this case, bins is returned unmodified.
154
- **kwds
154
+ **kwargs
155
155
All other plotting keyword arguments to be passed to
156
156
:meth:`matplotlib.pyplot.hist`.
157
157
@@ -194,7 +194,7 @@ def hist_frame(
194
194
figsize = figsize ,
195
195
layout = layout ,
196
196
bins = bins ,
197
- ** kwds
197
+ ** kwargs
198
198
)
199
199
200
200
@@ -209,7 +209,7 @@ def boxplot(
209
209
figsize = None ,
210
210
layout = None ,
211
211
return_type = None ,
212
- ** kwds
212
+ ** kwargs
213
213
):
214
214
"""
215
215
Make a box plot from DataFrame columns.
@@ -260,7 +260,7 @@ def boxplot(
260
260
261
261
If ``return_type`` is `None`, a NumPy array
262
262
of axes with the same shape as ``layout`` is returned.
263
- **kwds
263
+ **kwargs
264
264
All other plotting keyword arguments to be passed to
265
265
:func:`matplotlib.pyplot.boxplot`.
266
266
@@ -385,7 +385,7 @@ def boxplot(
385
385
figsize = figsize ,
386
386
layout = layout ,
387
387
return_type = return_type ,
388
- ** kwds
388
+ ** kwargs
389
389
)
390
390
391
391
@@ -401,7 +401,7 @@ def boxplot_frame(
401
401
figsize = None ,
402
402
layout = None ,
403
403
return_type = None ,
404
- ** kwds
404
+ ** kwargs
405
405
):
406
406
plot_backend = _get_plot_backend ()
407
407
return plot_backend .boxplot_frame (
@@ -415,7 +415,7 @@ def boxplot_frame(
415
415
figsize = figsize ,
416
416
layout = layout ,
417
417
return_type = return_type ,
418
- ** kwds
418
+ ** kwargs
419
419
)
420
420
421
421
@@ -431,7 +431,7 @@ def boxplot_frame_groupby(
431
431
layout = None ,
432
432
sharex = False ,
433
433
sharey = True ,
434
- ** kwds
434
+ ** kwargs
435
435
):
436
436
"""
437
437
Make box plots from DataFrameGroupBy data.
@@ -459,7 +459,7 @@ def boxplot_frame_groupby(
459
459
Whether y-axes will be shared among subplots
460
460
461
461
.. versionadded:: 0.23.1
462
- `**kwds` : Keyword Arguments
462
+ **kwargs
463
463
All other plotting keyword arguments to be passed to
464
464
matplotlib's boxplot function
465
465
@@ -495,7 +495,7 @@ def boxplot_frame_groupby(
495
495
layout = layout ,
496
496
sharex = sharex ,
497
497
sharey = sharey ,
498
- ** kwds
498
+ ** kwargs
499
499
)
500
500
501
501
@@ -586,7 +586,7 @@ class PlotAccessor(PandasObject):
586
586
labels with "(right)" in the legend
587
587
include_bool : bool, default is False
588
588
If True, boolean values can be plotted.
589
- `**kwds` : keywords
589
+ **kwargs
590
590
Options to pass to matplotlib plotting method.
591
591
592
592
Returns
@@ -810,7 +810,7 @@ def line(self, x=None, y=None, **kwargs):
810
810
The values to be plotted.
811
811
Either the location or the label of the columns to be used.
812
812
By default, it will use the remaining DataFrame numeric columns.
813
- **kwds
813
+ **kwargs
814
814
Keyword arguments to pass on to :meth:`DataFrame.plot`.
815
815
816
816
Returns
@@ -880,7 +880,7 @@ def bar(self, x=None, y=None, **kwargs):
880
880
y : label or position, optional
881
881
Allows plotting of one column versus another. If not specified,
882
882
all numerical columns are used.
883
- **kwds
883
+ **kwargs
884
884
Additional keyword arguments are documented in
885
885
:meth:`DataFrame.plot`.
886
886
@@ -963,7 +963,7 @@ def barh(self, x=None, y=None, **kwargs):
963
963
Column to be used for categories.
964
964
y : label or position, default All numeric columns in dataframe
965
965
Columns to be plotted from the DataFrame.
966
- **kwds
966
+ **kwargs
967
967
Keyword arguments to pass on to :meth:`DataFrame.plot`.
968
968
969
969
Returns
@@ -1049,7 +1049,7 @@ def box(self, by=None, **kwargs):
1049
1049
----------
1050
1050
by : str or sequence
1051
1051
Column in the DataFrame to group by.
1052
- **kwds : optional
1052
+ **kwargs
1053
1053
Additional keywords are documented in
1054
1054
:meth:`DataFrame.plot`.
1055
1055
@@ -1092,7 +1092,7 @@ def hist(self, by=None, bins=10, **kwargs):
1092
1092
Column in the DataFrame to group by.
1093
1093
bins : int, default 10
1094
1094
Number of histogram bins to be used.
1095
- **kwds
1095
+ **kwargs
1096
1096
Additional keyword arguments are documented in
1097
1097
:meth:`DataFrame.plot`.
1098
1098
@@ -1148,7 +1148,7 @@ def kde(self, bw_method=None, ind=None, **kwargs):
1148
1148
1000 equally spaced points are used. If `ind` is a NumPy array, the
1149
1149
KDE is evaluated at the points passed. If `ind` is an integer,
1150
1150
`ind` number of equally spaced points are used.
1151
- **kwds : optional
1151
+ **kwargs
1152
1152
Additional keyword arguments are documented in
1153
1153
:meth:`pandas.%(this-datatype)s.plot`.
1154
1154
@@ -1250,7 +1250,7 @@ def area(self, x=None, y=None, **kwargs):
1250
1250
stacked : bool, default True
1251
1251
Area plots are stacked by default. Set to False to create a
1252
1252
unstacked plot.
1253
- **kwds : optional
1253
+ **kwargs
1254
1254
Additional keyword arguments are documented in
1255
1255
:meth:`DataFrame.plot`.
1256
1256
@@ -1322,7 +1322,7 @@ def pie(self, **kwargs):
1322
1322
y : int or label, optional
1323
1323
Label or position of the column to plot.
1324
1324
If not provided, ``subplots=True`` argument must be passed.
1325
- **kwds
1325
+ **kwargs
1326
1326
Keyword arguments to pass on to :meth:`DataFrame.plot`.
1327
1327
1328
1328
Returns
@@ -1404,7 +1404,7 @@ def scatter(self, x, y, s=None, c=None, **kwargs):
1404
1404
- A column name or position whose values will be used to color the
1405
1405
marker points according to a colormap.
1406
1406
1407
- **kwds
1407
+ **kwargs
1408
1408
Keyword arguments to pass on to :meth:`DataFrame.plot`.
1409
1409
1410
1410
Returns
@@ -1476,7 +1476,7 @@ def hexbin(self, x, y, C=None, reduce_C_function=None, gridsize=None, **kwargs):
1476
1476
Alternatively, gridsize can be a tuple with two elements
1477
1477
specifying the number of hexagons in the x-direction and the
1478
1478
y-direction.
1479
- **kwds
1479
+ **kwargs
1480
1480
Additional keyword arguments are documented in
1481
1481
:meth:`DataFrame.plot`.
1482
1482
0 commit comments