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Visualization in Python with matplotlib
course content

Course Content

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
Creating an Empty PlotSimple Line ChartCreate a Simple Line ChartAdding One More LineAdd Data to the PlotAdding Legend to a PlotAdd LegendPlot Labels and TitleAdd Lables and TitlesChanging Line StyleCustomize Your Line ChartCreate a Complete Line Chart
2. Bar Charts
Simple Bar ChartCreate a Simple Bar ChartStacked BarsCreate a Stacked Bar ChartGrouped BarsCreate a Grouped Bar ChartHorizontal Bar ChartCreate a Horizontal Bar ChartCustomizing Bar ChartsCreate a Complete Bar Chart
3. Scatter Plots
The Simplest Scatter PlotCreate a Simple Scatter PlotSetting Plot ParametersSet Ticks and LimitsCustomizationCustomize Your Scatter PlotGrouping ObservationsGroup by RegionFurther GroupingGroup by Continuous VariableMaking Chart InformativeAdd Information to the Plot

bookCreate a Stacked Bar Chart

Task
test

Swipe to show code editor

You are given the same dataframe data. Your tasks are:

  1. Save data for 'MADURAI' in the madurai variable.
  2. Call .bar() function twice:

    Use 'New Delhi' and 'Madurai' as the label parameters.

    • the first time to build bars for the new_delhi data (the 'Month' column on the x-axis and the 'Rainfall' column on the y-axis);
    • the second time to build bars for the madurai data above built ones (the same columns and order as for the new_delhi data).
  3. Display the legend of the plot.

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Section 2. Chapter 4
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bookCreate a Stacked Bar Chart

Task
test

Swipe to show code editor

You are given the same dataframe data. Your tasks are:

  1. Save data for 'MADURAI' in the madurai variable.
  2. Call .bar() function twice:

    Use 'New Delhi' and 'Madurai' as the label parameters.

    • the first time to build bars for the new_delhi data (the 'Month' column on the x-axis and the 'Rainfall' column on the y-axis);
    • the second time to build bars for the madurai data above built ones (the same columns and order as for the new_delhi data).
  3. Display the legend of the plot.

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 4
toggle bottom row

bookCreate a Stacked Bar Chart

Task
test

Swipe to show code editor

You are given the same dataframe data. Your tasks are:

  1. Save data for 'MADURAI' in the madurai variable.
  2. Call .bar() function twice:

    Use 'New Delhi' and 'Madurai' as the label parameters.

    • the first time to build bars for the new_delhi data (the 'Month' column on the x-axis and the 'Rainfall' column on the y-axis);
    • the second time to build bars for the madurai data above built ones (the same columns and order as for the new_delhi data).
  3. Display the legend of the plot.

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
test

Swipe to show code editor

You are given the same dataframe data. Your tasks are:

  1. Save data for 'MADURAI' in the madurai variable.
  2. Call .bar() function twice:

    Use 'New Delhi' and 'Madurai' as the label parameters.

    • the first time to build bars for the new_delhi data (the 'Month' column on the x-axis and the 'Rainfall' column on the y-axis);
    • the second time to build bars for the madurai data above built ones (the same columns and order as for the new_delhi data).
  3. Display the legend of the plot.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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