5.5. Chart Box — Python
5.5.1. Simple Box Charts
import matplotlib.pyplot as plt import numpy as np np.random.seed(0) spread = np.random.rand(50) * 100 center = np.ones(25) * 50 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 data = np.concatenate((spread, center, flier_high, flier_low), 0) plt.boxplot(data) plt.title('Box Plot') plt.show() # doctest: +SKIP
5.5.2. Hide Outliers
import matplotlib.pyplot as plt import numpy as np np.random.seed(0) # fake up some data spread = np.random.rand(50) * 100 center = np.ones(25) * 40 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 d2 = np.concatenate((spread, center, flier_high, flier_low)) data.shape = (-1, 1) d2.shape = (-1, 1) data = [data, d2, d2[::2,0]] plt.boxplot(data) plt.title('Box Plot') plt.show() # doctest: +SKIP
5.5.3. Multiple Box Charts
import matplotlib.pyplot as plt import numpy as np np.random.seed(0) # fake up some data spread = np.random.rand(50) * 100 center = np.ones(25) * 40 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 d2 = np.concatenate((spread, center, flier_high, flier_low)) data.shape = (-1, 1) d2.shape = (-1, 1) data = [data, d2, d2[::2,0]] plt.boxplot(data) plt.title('Box Plot') plt.show() # doctest: +SKIP
