matplotlib 绘图

大体步骤是：

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 5, 10)
y = x**2

# 首先，须要一个figure对象
fig = plt.figure()
# 而后，axes对象，在axes上面绘图
axes = fig.add_axes([0.1, 0.1, 0.8, 0.8])

axes.plot(x, y, 'r')
axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_title('title')

若是须要在一张图中绘多个轴：

fig, axes = plt.subplots(nrows=1, ncols=2)

for ax in axes:
    ax.plot(x, y, 'r')
    ax.set_xlabel('x')
    ax.set_ylabel('y')
    ax.set_title('title')

一些例子：

n = np.array([0,1,2,3,4,5])
x = np.linspace(-0.75, 1., 100)

fig, axes = plt.subplots(1, 4, figsize=(12,3))

axes[0].scatter(x, x + 0.25*np.random.randn(len(x)))

axes[1].step(n, n**2, lw=2)

axes[2].bar(n, n**2, align="center", width=0.5, alpha=0.5)

axes[3].fill_between(x, x**2, x**3, color="green", alpha=0.5);

散点图，改变颜色，大小：

import numpy as np
import matplotlib.pyplot as plt

N = 50
x = np.random.rand(N)
y = np.random.rand(N)
area = np.pi * (15 * np.random.rand(N))**2 # 0 to 15 point radiuses
color = 2 * np.pi * np.random.rand(N)
plt.scatter(x, y, s=area, c=color, alpha=0.5, cmap=plt.cm.hsv)
plt.show()

 直方图：

x = np.random.randn(1000)
num_bins = 40
plt.hist(x, num_bins, facecolor='green', alpha=0.5)

极坐标：

fig = plt.figure()
ax = fig.add_axes([0.0, 0.0, .6, .6], polar=True)
t = linspace(0, 2 * pi, 100)
ax.plot(t, t, color='blue', lw=3);