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Create a Stacked Bar Chart | Bar Charts
Visualization in Python with matplotlib
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Contenido del Curso

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
2. Bar Charts
3. Scatter Plots

Create a Stacked Bar Chart

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 4
toggle bottom row

Create a Stacked Bar Chart

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 4
toggle bottom row

Create a Stacked Bar Chart

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 4
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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