bar labeling in matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('ggplot')
x = ['Nuclear', 'Hydro', 'Gas', 'Oil', 'Coal', 'Biofuel']
energy = [5, 6, 15, 22, 24, 8]
x_pos = [i for i, _ in enumerate(x)]
plt.bar(x_pos, energy, color='green')
plt.xlabel("Energy Source")
plt.ylabel("Energy Output (GJ)")
plt.title("Energy output from various fuel sources")
plt.xticks(x_pos, x)
plt.show()matplotlib bar label
import pandas as pd
# dataframe using frequencies and x_labels from the OP
df = pd.DataFrame({'Frequency': frequencies}, index=x_labels)
# display(df)
Frequency
108300.0 6
110540.0 16
112780.0 75
115020.0 160
117260.0 244
# plot
ax = df.plot(kind='bar', figsize=(12, 8), title='Amount Frequency',
xlabel='Amount ($)', ylabel='Frequency', legend=False)
# annotate
ax.bar_label(ax.containers[0], label_type='edge')
# pad the spacing between the number and the edge of the figure
ax.margins(y=0.1)Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
