CODEWITHSUNDEEP
pythonmatplotlib
Ignazio
Ignazio

Reputation: 4944

Plot a multi bar graph on the same axes with matplotlib

I'm using matplotlib and python 3.7 to plot an expense report divided into categories.

The goal would be to plot a multi-bar graph to compare data year over year.

I found a way to do this using a line graph, but not with the more appropriate bar graph because the bar just overlap each other. enter image description here

This is the code used to generate this graph:

data = {'category 1': 120.50,
        'category 2': 135.59,
        'category 3': 130.71,
        'category 4': 150.71}
group_data = list(data.values())
group_names = list(data.keys())

fig, axs = plt.subplots(2)
axs[0].plot(group_names, group_data, label="2020")
axs[0].plot(group_names, [v * 1.1 for v in group_data], label="2019")

axs[1].bar(group_names, group_data, label="2020")
axs[1].bar(group_names, [v * 1.1 for v in group_data], label="2019")


axs[0].legend()

Looked at the official doc (https://matplotlib.org/3.2.1/gallery/lines_bars_and_markers/categorical_variables.html) but didn't find a proper solution.

Upvotes: 1

Views: 1983

Answers (2)

Quang Hoang
Quang Hoang

Reputation: 150825

You can consider Pandas for easy plot function:

import pandas as pd

# 2020 data
df = pd.DataFrame({'2020':data})

# 2019 data
df['2019'] = df['2020'] * 1.1

# plot bar
df.plot.bar()

Output:

enter image description here

Upvotes: 1

Sheldore
Sheldore

Reputation: 39072

You can use the parameter zorder to decide the stack order of your bars. The bars with smaller height should have a higher z-order so that they appear at the front.

axs[1].bar(group_names, group_data, label="2020", zorder=1)
axs[1].bar(group_names, [v * 1.1 for v in group_data], label="2019", zorder=0)

enter image description here

Upvotes: 0

Related Questions