opal.visualization.statistics package

opal.visualization.statistics.impl_plots module

opal.visualization.statistics.impl_plots.plot_classification(xdata, xlab, ydata, ylab, value)[source]

Scatter plot where the points are colored according the value of the probability density function pdf(x, y) computed through kernel density estimation.

Parameters:

  • xdata (array_like) – Data of x-axis

  • xlab (str) – Label of x-axis data

  • ydata (array_like) – Data oy y-axis

  • ylab (str) – Label of y-axis data

  • value (float) – Boundary value of classification

Returns:

Plot handle

Return type:

matplotlib.pyplot

opal.visualization.statistics.impl_plots.plot_density(xdata, xlab, ydata, ylab, clab, **kwargs)[source]

Do a joint plot (marginals + contour / scatter).

Parameters:

  • xdata (array_like) – Data of x-axis

  • xlab (str) – Label of x-axis data

  • ydata (array_like) – Data oy y-axis

  • ylab (str) – Label of y-axis data

  • clab (str) – Label of colorbar

  • nxbin (int, optional) – Number of bins for x-axis

  • nybin (int, optional) – Number of bins for y-axis

  • cmap (str, optional) – Colormap

  • shading (bool, optional) – If true, it uses ‘gouraud’ shading, else ‘flat’ shading

  • xlim (tuple, optional) – If not specified use data to compute limits

  • ylim (tuple, optional) – If not specified use data to compute limits

References

https://matplotlib.org/examples/pylab_examples/pcolor_demo.html

Returns:

Plot handle

Return type:

matplotlib.pyplot

opal.visualization.statistics.impl_plots.plot_joint(xdata, xlab, ydata, ylab, join, **kwargs)[source]

Do a joint plot (marginals + contour / scatter).

Parameters:

  • xdata (array_like) – Data of x-axis

  • xlab (str) – Label of x-axis data

  • ydata (array_like) – Data oy y-axis

  • ylab (str) – Label of y-axis data

  • join (str) – ‘all’, ‘contour’ or ‘scatter’

  • marginals (str, optional) – ‘hist’, ‘kde’, ‘rug’ or combination separated by ‘+’, eg. ‘hist+kde’

  • size (int, optional) – Size of plot

  • cmap (str, optional) – Colormap

References

https://seaborn.pydata.org/generated/seaborn.JointGrid.html

Returns:

Plot handle

Return type:

matplotlib.pyplot