Python | Pandas Dataframe.plot.bar

Pandas DataFrame.plot.bar() plots vertically in the form of rectangular bars.

Syntax: DataFrame.plot.bar (x = None, y = None, ** kwds)

Parameters:
x: ( label or position, optional) Allows plotting of one column versus another. If not specified, the index of the DataFrame is used.
y: (label or position, optional) Allows plotting of one column versus another. If not specified, all numerical columns are used.
** kwds: Additional keyword arguments

Returns: matplotlib.axes.Axes or np.ndarray of them

Example # 1: Using DataFrame.plot.bar () to plot vertically in a rectangular shape stripes

# matplotlib import import matplotlib.pyplot   # import pandas as pd import pandas as pd   # numpy import as np import numpy as np    # create data frame df = pd.DataFrame (np.random.rand ( 10 , 3 ), columns = [ ’a’ , ’ b ’ , ’ c’ ])   print (df)

We will now use the DataFrame.plot.bar () function to plot the vertical graph as rectangular bars.

# using the df.plot.bar () function df.plot.bar ()

Output:

Example # 2: Using DataFrame.plot.bar () to plot vertically in the form of rectangular columns.

# matplotlib import import matplotlib.pyplot   # pandas import as pd import pandas as pd   # import numpy to ak np import numpy as np   # create data frame df = pd.DataFrame (np.random.rand ( 10 , 10 ), columns = [ ’a’ , ’ b’ , ’c’ , ’ d’ , ’e’ , ’ f’ , ’g’ , ’h’ , ’ i’ , ’ j’ ])   df

Now we will use the DataFrame.plot.bar () function to plot the graph vertically as rectangular columns.

# using the df.plot.bar () function df.plot.bar ()

Output: