CODEWITHSUNDEEP
pythonmatplotlib
Baobab1988
Baobab1988

Reputation: 715

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

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

enter image description here

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()

enter image description here

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?

Upvotes: 1

Views: 22

Answers (1)

Quang Hoang
Quang Hoang

Reputation: 150735

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:

enter image description here

Upvotes: 1

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