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How to make a simple lollipop plot in Matplotlib?
To make a simple lollipop plot in Matplotlib, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Make a dataframe, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data.
Make an ordered dataframe, using sort_values().
Make a list in the range of dataframe index.
Create a stem plot, using the ordered dataframe.
Set xticks and labels using xticks() method.
To display the figure, use show() method.
Example
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pd.DataFrame({'group': list(map(chr, range(65, 85))), 'values': np.random.uniform(size=20)})
ordered_df = df.sort_values(by='values')
my_range = range(1, len(df.index) + 1)
plt.stem(ordered_df['values'])
plt.xticks(my_range, ordered_df['group'])
plt.show()Output
Updated on: 23-Sep-2021
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