plotting a bar chart with pandas
df = pd.DataFrame({'lab':['A', 'B', 'C'], 'val':[10, 30, 20]}) ax = df.plot.bar(x='lab', y='val', rot=0)
plotting a bar chart with pandas
df = pd.DataFrame({'lab':['A', 'B', 'C'], 'val':[10, 30, 20]}) ax = df.plot.bar(x='lab', y='val', rot=0)
matplotlib bar chart
import matplotlib.pyplot as plt # Create a Simple Bar Plot of Three People's Ages # Create a List of Labels for x-axis names = ["Brad", "Bill", "Bob"] # Create a List of Values (Same Length as Names List) ages = [9, 5, 10] # Make the Chart plt.bar(names, ages) # Show the Chart plt.show()
bar chart in python
import numpy as npimport matplotlib.pyplot as plt# data to plotn_groups = 4means_frank = (90, 55, 40, 65)means_guido = (85, 62, 54, 20)# create plotfig, ax = plt.subplots()index = np.arange(n_groups)bar_width = 0.35opacity = 0.8rects1 = plt.bar(index, means_frank, bar_width,alpha=opacity,color='b',label='Frank')rects2 = plt.bar(index + bar_width, means_guido, bar_width,alpha=opacity,color='g',label='Guido')plt.xlabel('Person')plt.ylabel('Scores')plt.title('Scores by person')plt.xticks(index + bar_width, ('A', 'B', 'C', 'D'))plt.legend()plt.tight_layout()plt.show()
bar plot python
import matplotlib.pyplot as plt import numpy as np plt.bar(np.arange(0,100),np.arange(0,100))
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
