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# pandas.plotting.plot_params

pandas.plotting.plot_params = {'xaxis.compat': False}

  Stores pandas plotting options.

  Allows for parameter aliasing so you can just use parameter names that are the same as the plot function parameters, but is stored in a canonical format that makes it easy to breakdown into groups later.

  See also

  `plotting.register_matplotlib_converters`

    Register pandas formatters and converters with matplotlib.

  `plotting.bootstrap_plot`

    Bootstrap plot on mean, median and mid-range statistics.

  `plotting.autocorrelation_plot`

    Autocorrelation plot for time series.

  `plotting.lag_plot`

    Lag plot for time series.

  Examples

      >>> np.random.seed(42)
      >>> df = pd.DataFrame(
      ...     {"A": np.random.randn(10), "B": np.random.randn(10)},
      ...     index=pd.date_range("1/1/2000", freq="4MS", periods=10),
      ... )
      >>> with pd.plotting.plot_params.use("x_compat", True):
      ...     _ = df["A"].plot(color="r")
      ...     _ = df["B"].plot(color="g")