python boxplot show mean
import matplotlib.pyplot as plt
import numpy as np
data_to_plot = np.random.rand(100,5)
fig = plt.figure(1, figsize=(9, 6))
ax = fig.add_subplot(111)
bp = ax.boxplot(data_to_plot, showmeans=True)
plt.show()
python boxplot show mean
import matplotlib.pyplot as plt
import numpy as np
data_to_plot = np.random.rand(100,5)
fig = plt.figure(1, figsize=(9, 6))
ax = fig.add_subplot(111)
bp = ax.boxplot(data_to_plot, showmeans=True)
plt.show()
python matplotlib boxplot
import numpy as np
import matplotlib.pyplot as plt
# Fixing random state for reproducibility
np.random.seed(19680801)
# fake up some data
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))
fig1, ax1 = plt.subplots()
ax1.set_title('Basic Plot')
ax1.boxplot(data)
boxplot python
import numpy as np
import matplotlib.pyplot
matrix=np.random.rand(10,10)
plt.boxplot(matrix)
sns.boxplot code
sns.boxplot("var")
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