xorbits.pandas.Series.plot.hist#
- Series.plot.hist(*args, **kwargs)#
Draw one histogram of the DataFrame’s columns.
A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins and draws all bins in one
matplotlib.axes.Axes
. This is useful when the DataFrame’s Series are in a similar scale.- Parameters
by (str or sequence, optional (Not supported yet)) –
Column in the DataFrame to group by.
Changed in version 1.4.0(pandas): Previously, by is silently ignore and makes no groupings
bins (int, default 10 (Not supported yet)) – Number of histogram bins to be used.
**kwargs – Additional keyword arguments are documented in
DataFrame.plot()
.
- Returns
class – Return a histogram plot.
- Return type
matplotlib.AxesSubplot
See also
DataFrame.hist
Draw histograms per DataFrame’s Series.
Series.hist
Draw a histogram with Series’ data.
Examples
When we roll a die 6000 times, we expect to get each value around 1000 times. But when we roll two dice and sum the result, the distribution is going to be quite different. A histogram illustrates those distributions.
A grouped histogram can be generated by providing the parameter by (which can be a column name, or a list of column names):
This docstring was copied from pandas.plotting._core.PlotAccessor.