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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 Grouped Bar ChartCreate a Grouped Bar Chart

Note

To build 2 columns, we need to set x - width/2 as the first parameter with the first .bar() call, and x + width/2 for the second. If we want to build three columns, we can use the following approach: x - width, x, and x + width.

Tarea

  1. Save data for 'MUMBAI CITY' in the mumbai variable and all unique values from the 'Month' column in the months variable.
  2. Set width variable value to 0.3.
  3. Set proper first arguments according to the approach from the theory (displayed above). With the last .bar() function call display the mumbai data. Set label to 'Mumbai'.
  4. Set months as x ticks labels.

¿Todo estuvo claro?

Sección 2. Capítulo 6
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course content

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 Grouped Bar ChartCreate a Grouped Bar Chart

Note

To build 2 columns, we need to set x - width/2 as the first parameter with the first .bar() call, and x + width/2 for the second. If we want to build three columns, we can use the following approach: x - width, x, and x + width.

Tarea

  1. Save data for 'MUMBAI CITY' in the mumbai variable and all unique values from the 'Month' column in the months variable.
  2. Set width variable value to 0.3.
  3. Set proper first arguments according to the approach from the theory (displayed above). With the last .bar() function call display the mumbai data. Set label to 'Mumbai'.
  4. Set months as x ticks labels.

¿Todo estuvo claro?

Sección 2. Capítulo 6
toggle bottom row
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