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Python for Data Science: Time Series Essentials

Working with MatplotlibWorking with Matplotlib

Now that we have explored our dataset and prepared it for our analysis we are going to plot the time series to see its overall trend.

Methods description

  • plt.figure(figsize= (width, height)): This function creates a new figure for plotting with the specified size. The figsize parameter sets the width and height of the figure in inches;
  • plt.plot(data): This function plots the data contained in the DataFrame data. It accepts various arguments to customize the plot, such as color, linestyle, marker, etc;
  • plt.xlabel(label): This function sets the label for the x-axis of the plot. The string label specifies the label text;
  • plt.ylabel(label): This function sets the label for the y-axis of the plot. The string label specifies the label text;
  • plt.title(title): This function sets the title of the plot. The string title specifies the title text.

Task

  1. Use the matplotlib library to plot df;
  2. Create an xlabel with 'Years';
  3. Create an ylabel with 'No of Air Passengers'.

Mark tasks as Completed

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Section 1. Chapter 5
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