Python | Pandas Dataframe.plot.bar (original) (raw)

Last Updated : 06 Jan, 2019

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas **DataFrame.plot.bar()** plots the graph vertically in 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 argumentsReturns: matplotlib.axes.Axes or np.ndarray of them

Example #1: Using DataFrame.plot.bar() to plot the graph vertically in form of rectangular bars

Python3 1== `

importing matplotlib

import matplotlib.pyplot

importing pandas as pd

import pandas as pd

importing numpy as np

import numpy as np

creating a dataframe

df = pd.DataFrame(np.random.rand(10, 3), columns =['a', 'b', 'c'])

print(df)

Now we will use a function DataFrame.plot.bar() to plot a graph vertically in form of rectangular bars

Python3 `

using a function df.plot.bar()

df.plot.bar()

Output: plot.bar1() Example #2: Using DataFrame.plot.bar() to plot the graph vertically in form of rectangular bars.