Python Matplotlib绘制条形图的全过程

import matplotlib.pyplot as plt
data = [10., 20., 5., 15.]
plt.bar(range(len(data)), data)
plt.show()

import matplotlib.pyplot as plt
data = [10., 20., 5., 15.]
plt.bar(range(len(data)), data, width=0.5)
plt.show()

import matplotlib.pyplot as plt
data = [10., 20., 5., 15.]
plt.barh(range(len(data)), data, height=0.5)
plt.show()

import numpy as np
import matplotlib.pyplot as plt
data = [[10., 20., 30., 20.],[40., 25., 53., 18.],[6., 22., 52., 19.]]
x = np.arange(4)
plt.bar(x + 0.00, data[0], color = 'b', width = 0.25)
plt.bar(x + 0.25, data[1], color = 'g', width = 0.25)
plt.bar(x + 0.50, data[2], color = 'r', width = 0.25)
plt.show()

import matplotlib.pyplot as plt
y_1 = [3., 25., 45., 22.]
y_2 = [6., 25., 50., 25.]
x = range(4)
plt.bar(x, y_1, color = 'b')
plt.bar(x, y_2, color = 'r', bottom = y_1)
plt.show()

import numpy as np
import matplotlib.pyplot as plt
data = np.array([[5., 30., 45., 22.], [5., 25., 50., 20.], [1., 2., 1., 1.]])
x = np.arange(data.shape[1])
for i in range(data.shape[0]):
    plt.bar(x, data[i], bottom = np.sum(data[:i], axis = 0))
plt.show() 

import numpy as np
import matplotlib.pyplot as plt
w_pop = np.array([5., 30., 45., 22.])
m_pop = np.array( [5., 25., 50., 20.])
x = np.arange(4)
plt.barh(x, w_pop)
plt.barh(x, -m_pop)
plt.show()