matplotlib

1.matplotlib-数据可视化和绘图

2.导入方式

import matplotlib.pyplot as plt#第一种导入方式
from matplotlib import pyplot as plt#第二种导入方式

3.功能

使用默认属性的简单plot

plt.plot(x,y)
plt.show

修改绘图属性

# Imports
import numpy as np
import matplotlib.pyplot as plt

# Create a new figure of size 8x6 points, using 100 dots per inch
plt.figure(figsize=(8,6), dpi=80)

# Create a new subplot from a grid of 1x1
plt.subplot(111)

X = np.linspace(-np.pi, np.pi, 256,endpoint=True)
C,S = np.cos(X), np.sin(X)

# Plot cosine using blue color with a continuous line of width 1 (pixels)
plt.plot(X, C, color="blue", linewidth=1.0, linestyle="-")

# Plot sine using green color with a continuous line of width 1 (pixels)
plt.plot(X, S, color="green", linewidth=1.0, linestyle="-")

# Set x limits
plt.xlim(-4.0,4.0)

# Set x ticks
plt.xticks(np.linspace(-4,4,9,endpoint=True))

# Set y limits
plt.ylim(-1.0,1.0)

# Set y ticks
plt.yticks(np.linspace(-1,1,5,endpoint=True))

# Save figure using 72 dots per inch
# savefig("../figures/exercice_2.png",dpi=72)

# Show result on screen
plt.show()

 添加图例

plt.plot(x,c,label='cosine')
plt.plot(x,s,label='sine')
plt.legend(loc='upper left',frameon=False)

matplotlib.pyplot.plot(*args, **kwargs)