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Visualization in Python with matplotlib

bookCreate a Simple Bar Chart

Task

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You are given dataframe data with rainfall information for Indian cities/districts. Your tasks are:

  1. Filter the observations from data so that only rainfall data for 'NEW DELHI' will remain. Save this information within the new_delhi variable.
  2. Create Axes and Figure objects (use fix, ax variables).
  3. Initialize a bar chart with Month column values on the x-axis and Rainfall column values on the y-axis (new_delhi data).

Solution

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SectionΒ 2. ChapterΒ 2
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bookCreate a Simple Bar Chart

Task

Swipe to start coding

You are given dataframe data with rainfall information for Indian cities/districts. Your tasks are:

  1. Filter the observations from data so that only rainfall data for 'NEW DELHI' will remain. Save this information within the new_delhi variable.
  2. Create Axes and Figure objects (use fix, ax variables).
  3. Initialize a bar chart with Month column values on the x-axis and Rainfall column values on the y-axis (new_delhi data).

Solution

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!

SectionΒ 2. ChapterΒ 2
single

single

close

Awesome!

Completion rate improved to 2.94

bookCreate a Simple Bar Chart

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Task

Swipe to start coding

You are given dataframe data with rainfall information for Indian cities/districts. Your tasks are:

  1. Filter the observations from data so that only rainfall data for 'NEW DELHI' will remain. Save this information within the new_delhi variable.
  2. Create Axes and Figure objects (use fix, ax variables).
  3. Initialize a bar chart with Month column values on the x-axis and Rainfall column values on the y-axis (new_delhi data).

Solution

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!

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