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Create a Complete Bar Chart | Bar Charts
Visualization in Python with matplotlib
course content

Course Content

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
2. Bar Charts
3. Scatter Plots

bookCreate a Complete Bar Chart

Task

  1. Assign the second call of the .barh() function to the bar2 variable.
  2. Customize the plot:
    • set x label to 'Rainfall (mm)';
    • y label to 'Month';
    • title to 'Average rainfall level in Indian cities';
    • limit the values on the x-axis to diapason (0, 380).
  3. Add labels to bars:
    • set padding = -5 at the first call;
    • pass bar2 as the first parameter at the second call.

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Section 2. Chapter 10
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bookCreate a Complete Bar Chart

Task

  1. Assign the second call of the .barh() function to the bar2 variable.
  2. Customize the plot:
    • set x label to 'Rainfall (mm)';
    • y label to 'Month';
    • title to 'Average rainfall level in Indian cities';
    • limit the values on the x-axis to diapason (0, 380).
  3. Add labels to bars:
    • set padding = -5 at the first call;
    • pass bar2 as the first parameter at the second call.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 10
toggle bottom row

bookCreate a Complete Bar Chart

Task

  1. Assign the second call of the .barh() function to the bar2 variable.
  2. Customize the plot:
    • set x label to 'Rainfall (mm)';
    • y label to 'Month';
    • title to 'Average rainfall level in Indian cities';
    • limit the values on the x-axis to diapason (0, 380).
  3. Add labels to bars:
    • set padding = -5 at the first call;
    • pass bar2 as the first parameter at the second call.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Task

  1. Assign the second call of the .barh() function to the bar2 variable.
  2. Customize the plot:
    • set x label to 'Rainfall (mm)';
    • y label to 'Month';
    • title to 'Average rainfall level in Indian cities';
    • limit the values on the x-axis to diapason (0, 380).
  3. Add labels to bars:
    • set padding = -5 at the first call;
    • pass bar2 as the first parameter at the second call.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 10
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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