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Visualization in Python with matplotlib

Create a Complete Bar ChartCreate a Complete Bar Chart

Tarea

  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.

¿Todo estuvo claro?

Sección 2. Capítulo 10
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Contenido del Curso

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

Visualization in Python with matplotlib

Create a Complete Bar ChartCreate a Complete Bar Chart

Tarea

  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.

¿Todo estuvo claro?

Sección 2. Capítulo 10
toggle bottom row
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