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)how to plot a bar using matplotlib
import matplotlib.pyplot as plt
# creating the dataset
data = {'C':20, 'C++':15, 'Java':30,
'Python':35}
courses = list(data.keys())
values = list(data.values())
fig = plt.figure(figsize = (5, 5))
# creating the bar plot
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()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.)bar plot python
import numpy as np
import matplotlib.pyplot as plt
data = [[30, 25, 50, 20],
[40, 23, 51, 17],
[35, 22, 45, 19]]
X = np.arange(4)
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
ax.bar(X + 0.00, data[0], color = 'b', width = 0.25)
ax.bar(X + 0.25, data[1], color = 'g', width = 0.25)
ax.bar(X + 0.50, data[2], color = 'r', width = 0.25)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()Copyright © 2021 Codeinu
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