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Annotate bars with values on Pandas bar plots in Python
In this program, we can create a data frame and can plot a bar using df.plot.bar(x='lab', y='value', color='#5fba34') plot.
Steps
Using Panda’s dataframe, we can create a data frame with the given dictionary, where the keys are lab and value, values of these keys are lists, respectively.
Using Pandas plot.bar() method, we can create a vertical bar plot. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent.
To show the figure, use the plt.show() method.
Example
import pandas as pd
from matplotlib import pyplot as plt
df = pd.DataFrame({'lab': ['A', 'B', 'C'], 'value': [10, 30, 20]})
ax = df.plot.bar(x='lab', y='value', color='#5fba34')
plt.show()Output
Updated on: 15-Mar-2021
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