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
# importing matplotlibimport matplotlib.pyplot # importing pandas as pdimport pandas as pd # importing numpy as npimport 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
# using a function df.plot.bar()df.plot.bar() |
Output:
Example #2: Using DataFrame.plot.bar() to plot the graph vertically in form of rectangular bars.
# importing matplotlibimport matplotlib.pyplot # importing pandas as pdimport pandas as pd # importing numpy as npimport numpy as np # creating a dataframedf = pd.DataFrame(np.random.rand(10, 10), columns =['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']) df |
Now we will use a function DataFrame.plot.bar() to plot a graph vertically in form of rectangular bars
# using a function df.plot.bar()df.plot.bar() |
Output :
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