Plot your time series on individual plots

It can be beneficial to plot individual time series on separate graphs as this may improve clarity and provide more context around each time series in your DataFrame.

It is possible to create a "grid" of individual graphs by "faceting" each time series by setting the subplots argument to True. In addition, the arguments that can be added are:

layout: specifies the number of rows x columns to use.
sharex and sharey: specifies whether the x-axis and y-axis values should be shared between your plots.

Este exercício faz parte do curso

Visualizing Time Series Data in Python

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Instruções do exercício

Create a facetted plot of the meat DataFrame using a layout of 2 rows and 4 columns.
Ensure that the subgraphs do not share x-axis and y-axis values.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Create a facetted graph with 2 rows and 4 columns
meat.plot(subplots=____, 
          layout=____, 
          sharex=____, 
          sharey=____, 
          colormap='viridis', 
          fontsize=2, 
          legend=False, 
          linewidth=0.2)

plt.show()

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