graphics.regressionplots.abline_plot()

statsmodels.graphics.regressionplots.abline_plot

statsmodels.graphics.regressionplots.abline_plot(intercept=None, slope=None, horiz=None, vert=None, model_results=None, ax=None, **kwargs) [source]

Plots a line given an intercept and slope.

intercept : float

The intercept of the line

slope : float

The slope of the line

horiz : float or array-like

Data for horizontal lines on the y-axis

vert : array-like

Data for verterical lines on the x-axis

model_results : statsmodels results instance

Any object that has a two-value params attribute. Assumed that it is (intercept, slope)

ax : axes, optional

Matplotlib axes instance

kwargs

Options passed to matplotlib.pyplot.plt

Returns:	fig : Figure The figure given by ax.figure or a new instance.

Examples

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>>> import numpy as np >>> import statsmodels.api as sm >>> np.random.seed(12345) >>> X = sm.add_constant(np.random.normal(0, 20, size=30)) >>> y = np.dot(X, [25, 3.5]) + np.random.normal(0, 30, size=30) >>> mod = sm.OLS(y,X).fit() >>> fig = abline_plot(model_results=mod) >>> ax = fig.axes[0] >>> ax.scatter(X[:,1], y) >>> ax.margins(.1) >>> import matplotlib.pyplot as plt >>> plt.show()