statsmodels.graphics.regressionplots.abline_plot
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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.
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intercept : float
- The intercept of the line
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slope : float
- The slope of the line
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horiz : float or array-like
- Data for horizontal lines on the y-axis
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vert : array-like
- Data for verterical lines on the x-axis
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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
>>> 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()
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