bar plot matplotlib
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
langs = ['C', 'C++', 'Java', 'Python', 'PHP']
students = [23,17,35,29,12]
ax.bar(langs,students)
plt.show()bar plot matplotlib
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
langs = ['C', 'C++', 'Java', 'Python', 'PHP']
students = [23,17,35,29,12]
ax.bar(langs,students)
plt.show()how to plotting bar on matplotlib
import matplotlib.pyplot as plt
data = [5., 25., 50., 20.]
plt.bar(range(len(data)),data)
plt.show()
// to set the thickness of a bar, we can set 'width'
// plt.bar(range(len(data)), data, width = 1.)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 plot python
import matplotlib.pyplot as plt
import numpy as np
plt.bar(np.arange(0,100),np.arange(0,100))bar chart in python
import matplotlib.pyplot as plt; plt.rcdefaults()import numpy as npimport matplotlib.pyplot as pltobjects = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')y_pos = np.arange(len(objects))performance = [10,8,6,4,2,1]plt.bar(y_pos, performance, align='center', alpha=0.5)plt.xticks(y_pos, objects)plt.ylabel('Usage')plt.title('Programming language usage')plt.show()Copyright © 2021 Codeinu
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