ehrapy.plot.missing_values_barplot

ehrapy.plot.missing_values_barplot(edata, *, log=False, filter=None, max_cols=0, max_percentage=0, sort=None, figsize=None, color='dimgray', fontsize=16, labels=None, label_rotation=45, orientation=None, categoricals=False, layer=None)

A bar chart visualization of the nullity of the given data object.

Parameters:

• edata (EHRData) – Central data object.

• log (bool, default: False) – Whether to display a logarithmic plot.

• filter (str | None, default: None) – The filter to apply to the barplot. Should be one of “top”, “bottom”, or None.

• max_cols (int, default: 0) – The max number of columns from the data object to include.

• max_percentage (float, default: 0) – The max percentage fill of the columns from the data object.

• sort (str | None, default: None) – The row sort order to apply. Can be “ascending”, “descending”, or None.

• figsize (tuple | None, default: None) – The size of the figure to display.

• color (str, default: 'dimgray') – The color of the filled columns.

• fontsize (float, default: 16) – The figure’s font size.

• labels (str | None, default: None) – Whether to display the column names.

• label_rotation (float, default: 45) – What angle to rotate the text labels to.

• orientation (str | None, default: None) – The way the bar plot is oriented.

• categoricals (bool, default: False) – Whether to include “ehrapycat” columns to the plot.

• layer (str | None, default: None) – The layer to use.

Returns:

The plot axis.

Examples

>>> import ehrdata as ed
>>> import ehrapy as ep
>>> edata = ed.dt.mimic_2()
>>> ep.pl.missing_values_barplot(edata, filter="bottom", max_cols=15, max_percentage=0.999)

Preview: