Answers for "how to make a bar chart with python"

5

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()
Posted by: Guest on December-01-2020
3

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()
Posted by: Guest on July-04-2020
3

bar chart in python

import numpy as npimport matplotlib.pyplot as plt# data to plotn_groups = 4means_frank = (90, 55, 40, 65)means_guido = (85, 62, 54, 20)# create plotfig, ax = plt.subplots()index = np.arange(n_groups)bar_width = 0.35opacity = 0.8rects1 = plt.bar(index, means_frank, bar_width,alpha=opacity,color='b',label='Frank')rects2 = plt.bar(index + bar_width, means_guido, bar_width,alpha=opacity,color='g',label='Guido')plt.xlabel('Person')plt.ylabel('Scores')plt.title('Scores by person')plt.xticks(index + bar_width, ('A', 'B', 'C', 'D'))plt.legend()plt.tight_layout()plt.show()
Posted by: Guest on February-22-2020
1

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()
Posted by: Guest on February-22-2020

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