Simple Bar Chart
Welcome to the second section! You've done great work so far! In this section, we will consider another common type of chart - this is a bar chart.
The concept for creating a bar chart is the same as for line plot: initialize Axes and Figure objects using the .subplots() method and then apply .bar() function to Axes object. The first argument (x) of the function is the x coordinates of the bar, the second (height) - the heights of the bars. For example, let's visualize some abstract subject grades.
123456789101112131415# Import library import matplotlib.pyplot as plt # Create data for chart subjects = ['Math', 'Literature', 'History', 'Physics', 'Arts'] grades = [95, 76, 83, 92, 68] # Create Axes and Figure objects fig, ax = plt.subplots() # Initialize bar chart ax.bar(subjects, grades) # Display the plot plt.show()
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Welcome to the second section! You've done great work so far! In this section, we will consider another common type of chart - this is a bar chart.
The concept for creating a bar chart is the same as for line plot: initialize Axes and Figure objects using the .subplots() method and then apply .bar() function to Axes object. The first argument (x) of the function is the x coordinates of the bar, the second (height) - the heights of the bars. For example, let's visualize some abstract subject grades.
123456789101112131415# Import library import matplotlib.pyplot as plt # Create data for chart subjects = ['Math', 'Literature', 'History', 'Physics', 'Arts'] grades = [95, 76, 83, 92, 68] # Create Axes and Figure objects fig, ax = plt.subplots() # Initialize bar chart ax.bar(subjects, grades) # Display the plot plt.show()
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