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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

Create a Stacked Bar Chart

Task

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

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

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

  3. Display the legend of the plot.

Task

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

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

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

  3. Display the legend of the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 4
toggle bottom row

Create a Stacked Bar Chart

Task

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

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

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

  3. Display the legend of the plot.

Task

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

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

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

  3. Display the legend of the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 4
toggle bottom row

Create a Stacked Bar Chart

Task

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

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

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

  3. Display the legend of the plot.

Task

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

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

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

  3. Display the legend of the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Task

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

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

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

  3. Display the legend of the plot.

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