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Visualization in Python with matplotlib

Create a Simple Bar Chart

Task

You are given dataframe data with rainfall information for Indian cities/districts. Your tasks are:

  1. Filter the observations from data so that only rainfall data for 'NEW DELHI' will remain. Save this information within the new_delhi variable.
  2. Create Axes and Figure objects (use fix, ax variables).
  3. Initialize a bar chart with Month column values on the x-axis and Rainfall column values on the y-axis (new_delhi data).

Everything was clear?

Section 2. Chapter 2
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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

Create a Simple Bar Chart

Task

You are given dataframe data with rainfall information for Indian cities/districts. Your tasks are:

  1. Filter the observations from data so that only rainfall data for 'NEW DELHI' will remain. Save this information within the new_delhi variable.
  2. Create Axes and Figure objects (use fix, ax variables).
  3. Initialize a bar chart with Month column values on the x-axis and Rainfall column values on the y-axis (new_delhi data).

Everything was clear?

Section 2. Chapter 2
toggle bottom row
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