Answers for "matplotlib barplots"

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
18

subplots matplotlib

# First create some toy data:
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

# Create just a figure and only one subplot
fig, ax = plt.subplots()
ax.plot(x, y)
ax.set_title('Simple plot')

# Create two subplots and unpack the output array immediately
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
ax1.plot(x, y)
ax1.set_title('Sharing Y axis')
ax2.scatter(x, y)

# Create four polar axes and access them through the returned array
fig, axs = plt.subplots(2, 2, subplot_kw=dict(polar=True))
axs[0, 0].plot(x, y)
axs[1, 1].scatter(x, y)

# Share a X axis with each column of subplots
plt.subplots(2, 2, sharex='col')

# Share a Y axis with each row of subplots
plt.subplots(2, 2, sharey='row')

# Share both X and Y axes with all subplots
plt.subplots(2, 2, sharex='all', sharey='all')

# Note that this is the same as
plt.subplots(2, 2, sharex=True, sharey=True)

# Create figure number 10 with a single subplot
# and clears it if it already exists.
fig, ax = plt.subplots(num=10, clear=True)
Posted by: Guest on September-15-2020
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()
Posted by: Guest on May-14-2020
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
1

subplots matplotlib

# using the variable ax for single a Axes
fig, ax = plt.subplots()

# using the variable axs for multiple Axes
fig, axs = plt.subplots(2, 2)

# using tuple unpacking for multiple Axes
fig, (ax1, ax2) = plt.subplot(1, 2)
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplot(2, 2)
Posted by: Guest on September-15-2020
0

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")
Posted by: Guest on February-05-2021

Python Answers by Framework

Browse Popular Code Answers by Language