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))
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