bigframes.pandas.Series.hist#

Series.hist(by:Sequence[str]|None=None,bins:int=10,**kwargs)[source]#

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 DataFrameinto bins and draws all bins in onematplotlib.axes.Axes.This is useful when the DataFrame’s Series are in a similar scale.

Examples:

>>>importbigframes.pandasasbpd>>>df=bpd.DataFrame(np.random.randint(1,7,6000),columns=['one'])>>>df['two']=np.random.randint(1,7,6000)+np.random.randint(1,7,6000)>>>ax=df.plot.hist(bins=12,alpha=0.5)

Parameters:

• by (str orsequence,optional) – Column in the DataFrame to group by. It is not supported yet.

• bins (int,default 10) – Number of histogram bins to be used.

• **kwargs – Additional keyword arguments are documented inDataFrame.plot().

Returns:

matplotlib.AxesSubplot: A histogram plot.

Return type:

class