How to get matplotlib to display data from two dictionaries on graph?

Question

When using the below code all data values are displayed correctly:

import numpy as np
import matplotlib.pyplot as plt

ME_Requests = {'John Doe': 47, 'Amanda Doe': 27, 'Maria Doe': 26,}
non_ME_Requests = {'John Doe': 105, 'Amanda Doe': 64, 'Maria Doe': 48, 'Dimitrii Doe': 44}
month="Apr-2020"
X = np.arange(len(ME_Requests))
X_non_ME = np.arange(len(non_ME_Requests))
ax = plt.subplot(111)
ax.bar(X, ME_Requests.values(), width=0.2, align='center')
ax.bar(X_non_ME-0.2, non_ME_Requests.values(), width=0.2, align='center')
ax.legend(('ME_Requests','non_ME_Requests'))

# plt.xticks(X, ME_Requests.keys())
plt.xticks(X_non_ME, non_ME_Requests.keys(), rotation=90)
plt.tight_layout()
plt.subplots_adjust(top=0.85)
plt.title("Email Requests Closed Per Team Member In {}".format(month), fontsize=17)
plt.show()

However when I use the code below it doesn't really work (Dimitrii Doe is not included):

import numpy as np
import matplotlib.pyplot as plt

ME_Requests = {'John Doe': 105, 'Amanda Doe': 64, 'Maria Doe': 48, 'Dimitrii Doe': 44}
non_ME_Requests = {'John Doe': 47, 'Amanda Doe': 27, 'Maria Doe': 26,}
month="Apr-2020"
X = np.arange(len(ME_Requests))
X_non_ME = np.arange(len(non_ME_Requests))
ax = plt.subplot(111)
ax.bar(X, ME_Requests.values(), width=0.2, align='center')
ax.bar(X_non_ME-0.2, non_ME_Requests.values(), width=0.2, align='center')
ax.legend(('ME_Requests','non_ME_Requests'))

# plt.xticks(X, ME_Requests.keys())
plt.xticks(X_non_ME, non_ME_Requests.keys(), rotation=90)
plt.tight_layout()
plt.subplots_adjust(top=0.85)
plt.title("Email Requests Closed Per Team Member In {}".format(month), fontsize=17)
plt.show()

How to get data being displayed correctly, considering that I can't predict in advance which dictionary (ME_Requests or non_ME_Requests) will have more values?

Quang Hoang · Accepted Answer · 2020-09-03 14:57:57Z

1

Would you consider another package, like Pandas, which also uses matplotlib backend:

import pandas as pd

df = pd.DataFrame({'ME_Request':ME_Requests,
              'none_ME_request':non_ME_Requests})

df.plot.bar()

Output:

edited Sep 3, 2020 at 14:57

answered Sep 3, 2020 at 14:38

Quang Hoang

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5 Comments

Baobab1988 Over a year ago

thank you for this suggestion. When I'm trying to do import pandas as pd and then I run your code with my data variables it returns only <AxesSubplot:> but no graph. Would you know what I'm doing wrong? thanks!

Quang Hoang Over a year ago

That’s weird. It should work on Jupyter, which I think you are using. try to do a plt.show() after the last line.

Baobab1988 Over a year ago

This solved the problem. Thank you, but now I'm wondering how I could keep my title showing on top of the graph and if there is a way to display number from data over the bar in the graph?

Quang Hoang Over a year ago

plt.title works as usual. To annotate the bars, see this question.

Baobab1988 Over a year ago

Sorted my title problem. Just kept plt.title("Email Requests Closed Per Team Member In {}".format(month), fontsize=17) before plt.show()

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