Lollipop plot


A lollipop chart is an alernative to the more usual barplot. Python allows to build lollipops thanks to the matplotlib library, as shown in the examples below. The strategy here is to use the stem() function or to hack the vline() function depending on your input format.

⏱ Quick start

A lollipop plot displays each element of a dataset as a segment and a circle.

This is doable with python and Matplotlib thanks to the stem() function that accepts a data frame as input.🔥

# Create a dataframe
import pandas as pd
df = pd.DataFrame({'group':list(map(chr, range(65, 85))), 'values':np.random.uniform(size=20) })

# Reorder it following the values:
ordered_df = df.sort_values(by='values')
my_range=range(1,len(df.index)+1)

# Make the plot
plt.stem(ordered_df['values'])
plt.xticks( my_range, ordered_df['group'])

Contact

👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting yan.holtz.data with gmail.com.

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