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Visualization in Python with matplotlib

Set Ticks and Limits

Task

Using the .set() function, set the following parameters:

  • limit values on the x-axis to (0, 30000);
  • limit values on the y-axis to (40, 80);
  • set ticks on the x-axis so that they will have a step of 5000 (for instance, 0, 5000, 10000, 15000, ...). You can use the np.arange(start, end, step) function there. It will generate numbers from start to end with the step of step.

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Section 3. Chapter 4
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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

Set Ticks and Limits

Task

Using the .set() function, set the following parameters:

  • limit values on the x-axis to (0, 30000);
  • limit values on the y-axis to (40, 80);
  • set ticks on the x-axis so that they will have a step of 5000 (for instance, 0, 5000, 10000, 15000, ...). You can use the np.arange(start, end, step) function there. It will generate numbers from start to end with the step of step.

Everything was clear?

Section 3. Chapter 4
toggle bottom row
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