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  3. Introduction to Data Visualization with Matplotlib

Exercise

Adding error-bars to a plot

Adding error-bars to a plot is done by using the errorbar method of the Axes object.

Here, you have two DataFrames loaded: seattle_weather has data about the weather in Seattle and austin_weather has data about the weather in Austin. Each DataFrame has a column "MONTH" that has the names of the months, a column "MLY-TAVG-NORMAL" that has the average temperature in each month and a column "MLY-TAVG-STDDEV" that has the standard deviation of the temperatures across years.

In the exercise, you will plot the mean temperature across months and add the standard deviation at each point as y errorbars.

Instructions

100 XP
  • Use the ax.errorbar method to add the Seattle data: the "MONTH" column as x values, the "MLY-TAVG-NORMAL" as y values and "MLY-TAVG-STDDEV" as yerr values.
  • Add the Austin data: the "MONTH" column as x values, the "MLY-TAVG-NORMAL" as y values and "MLY-TAVG-STDDEV" as yerr values.
  • Set the y-axis label as "Temperature (Fahrenheit)".