Answers for "matplotlib plot.bar"

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 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()

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")