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Visualization in Python with matplotlib

bookCreate a Complete Bar Chart

Task

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  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.

Solution

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SectionΒ 2. ChapterΒ 10
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bookCreate a Complete Bar Chart

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Task

Swipe to start coding

  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.

Solution

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Everything was clear?

How can we improve it?

Thanks for your feedback!

close

Awesome!

Completion rate improved to 2.94
SectionΒ 2. ChapterΒ 10
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