Example 1: how to plot a bar using matplotlib
import matplotlib.pyplot as plt
data = {'C':20, 'C++':15, 'Java':30,
'Python':35}
courses = list(data.keys())
values = list(data.values())
fig = plt.figure(figsize = (5, 5))
plt.bar(courses, values, color ='green',
width = 0.4)
plt.xlabel("Courses offered")
plt.ylabel("No. of students enrolled")
plt.title("Students enrolled in different courses")
plt.show()
Example 2: 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.)
Example 3: 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()
Example 4: matplotlib bar chart
import matplotlib.pyplot as plt
names = ["Brad", "Bill", "Bob"]
ages = [9, 5, 10]
plt.bar(names, ages)
plt.show()
Example 5: 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)
Example 6: bar chart in python
import numpy as npimport matplotlib.pyplot as plt