@@ -314,8 +314,7 @@ def andrews_curves(
314314 ... 'https://raw.githubusercontent.com/pandas-dev/'
315315 ... 'pandas/main/pandas/tests/io/data/csv/iris.csv'
316316 ... )
317- >>> pd.plotting.andrews_curves(df, 'Name')
318- <AxesSubplot: title={'center': 'width'}>
317+ >>> pd.plotting.andrews_curves(df, 'Name') # doctest: +SKIP
319318 """
320319 plot_backend = _get_plot_backend ("matplotlib" )
321320 return plot_backend .andrews_curves (
@@ -499,8 +498,7 @@ def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Ax
499498 >>> np.random.seed(5)
500499 >>> x = np.cumsum(np.random.normal(loc=1, scale=5, size=50))
501500 >>> s = pd.Series(x)
502- >>> s.plot()
503- <AxesSubplot: xlabel='Midrange'>
501+ >>> s.plot() # doctest: +SKIP
504502
505503 A lag plot with ``lag=1`` returns
506504
@@ -542,8 +540,7 @@ def autocorrelation_plot(series: Series, ax: Axes | None = None, **kwargs) -> Ax
542540
543541 >>> spacing = np.linspace(-9 * np.pi, 9 * np.pi, num=1000)
544542 >>> s = pd.Series(0.7 * np.random.rand(1000) + 0.3 * np.sin(spacing))
545- >>> pd.plotting.autocorrelation_plot(s)
546- <AxesSubplot: title={'center': 'width'}, xlabel='Lag', ylabel='Autocorrelation'>
543+ >>> pd.plotting.autocorrelation_plot(s) # doctest: +SKIP
547544 """
548545 plot_backend = _get_plot_backend ("matplotlib" )
549546 return plot_backend .autocorrelation_plot (series = series , ax = ax , ** kwargs )
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