Plotting boxplots
Boxplot allows you to compare distributions of values by conveniently showing the median, quartiles, maximum, and minimum of a set of values.
How to do it...
The following script shows a boxplot for 100 random values drawn from a normal distribution:
import numpy as np import matplotlib.pyplot as plt data = np.random.randn(100) plt.boxplot(data) plt.show()
A boxplot will appear that represents the samples we drew from the random distribution. Since the code uses a randomly generated dataset, the resulting figure will change slightly every time the script is run.
The preceding script will display the following graph:
How it works...
The data = [random.gauss(0., 1.) for i in range(100)] variable generates 100 values drawn from a normal distribution. For demonstration purposes, such values are typically read from a file or computed from other data. The plot.boxplot() function takes a set of values and computes the mean, median, and other statistical quantities on its own. The following points describe the preceding boxplot:
- The red bar is the median of the distribution.
- The blue box includes 50 percent of the data from the lower quartile to the upper quartile. Thus, the box is centered on the median of the data.
- The lower whisker extends to the lowest value within 1.5 IQR from the lower quartile.
- The upper whisker extends to the highest value within 1.5 IQR from the upper quartile.
- Values further from the whiskers are shown with a cross marker.
There's more...
To show more than one boxplot in a single graph, calling pyplot.boxplot() once for each boxplot is not going to work. It will simply draw the boxplots over each other, making a messy, unreadable graph. However, we can draw several boxplots with just one single call to pyplot.boxplot() as follows:
import numpy as np import matplotlib.pyplot as plt data = np.random.randn(100, 5) plt.boxplot(data) plt.show()
The preceding script displays the following graph:
The pyplot.boxplot() function accepts a list of lists as the input, rendering a boxplot for each sublist.