Example 1: 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()
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 labeling in matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('ggplot')
x = ['Nuclear', 'Hydro', 'Gas', 'Oil', 'Coal', 'Biofuel']
energy = [5, 6, 15, 22, 24, 8]
x_pos = [i for i, _ in enumerate(x)]
plt.bar(x_pos, energy, color='green')
plt.xlabel("Energy Source")
plt.ylabel("Energy Output (GJ)")
plt.title("Energy output from various fuel sources")
plt.xticks(x_pos, x)
plt.show()
Example 4: 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 5: 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()
Example 6: matplotlib bar
# Import packages
import matplotlib.pyplot as plt
%matplotlib inline
# Create the plot
fig, ax = plt.subplots()
# Plot with bar()
ax.bar(x, y)
# Set x and y axes labels, legend, and title
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")