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PLT: Delegating to plotting backend only plots of Series and DataFrame methods #27432

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Merged
merged 1 commit into from
Jul 18, 2019
Merged

PLT: Delegating to plotting backend only plots of Series and DataFrame methods #27432

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6 changes: 3 additions & 3 deletions pandas/plotting/_core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -375,7 +375,7 @@ def boxplot(
>>> type(boxplot)
<class 'numpy.ndarray'>
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.boxplot(
data,
column=column,
Expand Down Expand Up @@ -1533,7 +1533,7 @@ def hexbin(self, x, y, C=None, reduce_C_function=None, gridsize=None, **kwargs):
return self(kind="hexbin", x=x, y=y, C=C, **kwargs)


def _get_plot_backend():
def _get_plot_backend(backend=None):
"""
Return the plotting backend to use (e.g. `pandas.plotting._matplotlib`).

Expand All @@ -1546,7 +1546,7 @@ def _get_plot_backend():
The backend is imported lazily, as matplotlib is a soft dependency, and
pandas can be used without it being installed.
"""
backend_str = pandas.get_option("plotting.backend")
backend_str = backend or pandas.get_option("plotting.backend")
if backend_str == "matplotlib":
backend_str = "pandas.plotting._matplotlib"
return importlib.import_module(backend_str)
22 changes: 11 additions & 11 deletions pandas/plotting/_misc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ def table(ax, data, rowLabels=None, colLabels=None, **kwargs):
-------
matplotlib table object
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.table(
ax=ax, data=data, rowLabels=None, colLabels=None, **kwargs
)
Expand All @@ -48,7 +48,7 @@ def register(explicit=True):
--------
deregister_matplotlib_converter
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
plot_backend.register(explicit=explicit)


Expand All @@ -67,7 +67,7 @@ def deregister():
--------
deregister_matplotlib_converters
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
plot_backend.deregister()


Expand Down Expand Up @@ -124,7 +124,7 @@ def scatter_matrix(
>>> df = pd.DataFrame(np.random.randn(1000, 4), columns=['A','B','C','D'])
>>> scatter_matrix(df, alpha=0.2)
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.scatter_matrix(
frame=frame,
alpha=alpha,
Expand Down Expand Up @@ -202,7 +202,7 @@ def radviz(frame, class_column, ax=None, color=None, colormap=None, **kwds):
... })
>>> rad_viz = pd.plotting.radviz(df, 'Category') # doctest: +SKIP
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.radviz(
frame=frame,
class_column=class_column,
Expand Down Expand Up @@ -249,7 +249,7 @@ def andrews_curves(
-------
class:`matplotlip.axis.Axes`
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.andrews_curves(
frame=frame,
class_column=class_column,
Expand Down Expand Up @@ -307,7 +307,7 @@ def bootstrap_plot(series, fig=None, size=50, samples=500, **kwds):
>>> s = pd.Series(np.random.uniform(size=100))
>>> fig = pd.plotting.bootstrap_plot(s) # doctest: +SKIP
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.bootstrap_plot(
series=series, fig=fig, size=size, samples=samples, **kwds
)
Expand Down Expand Up @@ -374,7 +374,7 @@ def parallel_coordinates(
color=('#556270', '#4ECDC4', '#C7F464'))
>>> plt.show()
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.parallel_coordinates(
frame=frame,
class_column=class_column,
Expand Down Expand Up @@ -405,7 +405,7 @@ def lag_plot(series, lag=1, ax=None, **kwds):
-------
class:`matplotlib.axis.Axes`
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.lag_plot(series=series, lag=lag, ax=ax, **kwds)


Expand All @@ -424,7 +424,7 @@ def autocorrelation_plot(series, ax=None, **kwds):
-------
class:`matplotlib.axis.Axes`
"""
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.autocorrelation_plot(series=series, ax=ax, **kwds)


Expand All @@ -451,7 +451,7 @@ def tsplot(series, plotf, ax=None, **kwargs):
FutureWarning,
stacklevel=2,
)
plot_backend = _get_plot_backend()
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.tsplot(series=series, plotf=plotf, ax=ax, **kwargs)


Expand Down