- API reference
- DataFrame
- pandas.DataF...
pandas.DataFrame.plot.box#
- DataFrame.plot.box(by=None,**kwargs)[source]#
Make a box plot of the DataFrame columns.
A box plot is a method for graphically depicting groups of numericaldata through their quartiles.The box extends from the Q1 to Q3 quartile values of the data,with a line at the median (Q2). The whiskers extend from the edgesof box to show the range of the data. The position of the whiskersis set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of thebox. Outlier points are those past the end of the whiskers.
For further details see Wikipedia’sentry forboxplot.
A consideration when using this chart is that the box and the whiskerscan overlap, which is very common when plotting small sets of data.
- Parameters:
- bystr or sequence
Column in the DataFrame to group by.
Changed in version 1.4.0:Previously,by is silently ignore and makes no groupings
- **kwargs
Additional keywords are documented in
DataFrame.plot()
.
- Returns:
matplotlib.axes.Axes
or numpy.ndarray of them
See also
DataFrame.boxplot
Another method to draw a box plot.
Series.plot.box
Draw a box plot from a Series object.
matplotlib.pyplot.boxplot
Draw a box plot in matplotlib.
Examples
Draw a box plot from a DataFrame with four columns of randomlygenerated data.
>>>data=np.random.randn(25,4)>>>df=pd.DataFrame(data,columns=list('ABCD'))>>>ax=df.plot.box()
You can also generate groupings if you specify theby parameter (whichcan take a column name, or a list or tuple of column names):
Changed in version 1.4.0.
>>>age_list=[8,10,12,14,72,74,76,78,20,25,30,35,60,85]>>>df=pd.DataFrame({"gender":list("MMMMMMMMFFFFFF"),"age":age_list})>>>ax=df.plot.box(column="age",by="gender",figsize=(10,8))