dabl.plot
.class_hists¶
-
dabl.plot.
class_hists
(data, column, target, bins='auto', ax=None, legend=True, scale_separately=True)[source]¶ Grouped univariate histograms.
- Parameters
- datapandas DataFrame
Input data to plot.
- columncolumn specifier
Column in the data to compute histograms over (must be continuous).
- targetcolumn specifier
Target column in data, must be categorical.
- binsstring, int or array-like
Number of bins, ‘auto’ or bin edges. Passed to np.histogram_bin_edges. We always show at least 5 bins for now.
- axmatplotlib axes
Axes to plot into.
- legendboolean, default=True
Whether to create a legend.
- scale_separatelyboolean, default=True
Whether to scale each class separately.
Examples
>>> from dabl.datasets import load_adult >>> data = load_adult() >>> class_hists(data, "age", "gender", legend=True) <AxesSubplot:xlabel='age'>