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")

../../_images/pandas-plotting-plot_params-1.png

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