Python高级数据处理与可视化（二）---- Matplotlib绘图基础

2. Matplotlib绘图基础

　　问题：CentOS下没有图片生成，改为Windows下Anaconda IDE。

　　2.1 最著名的Python绘图库，主要用于二维绘图：

　　　　2.1.1 画图质量高

　　　　2.1.2 方便快捷的绘图模块：

　　　　　　绘图API -- pyplot模块

　　　　　　集成库 -- pylab模块（包含Numpy和pyplot中的常用函数）

　　2.2 心型曲线绘制：http://matplotlib.org/examples/shapes_and_collections/path_patch_demo.html

# -*- coding: utf-8 -*-
"""
Demo of a PathPatch object.
"""
import matplotlib.path as mpath
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt


fig, ax = plt.subplots()

Path = mpath.Path
path_data = [
    (Path.MOVETO, (1.58, -2.57)),
    (Path.CURVE4, (0.35, -1.1)),
    (Path.CURVE4, (-1.75, 2.0)),
    (Path.CURVE4, (0.375, 2.0)),
    (Path.LINETO, (0.85, 1.15)),
    (Path.CURVE4, (2.2, 3.2)),
    (Path.CURVE4, (3, 0.05)),
    (Path.CURVE4, (2.0, -0.5)),
    (Path.CLOSEPOLY, (1.58, -2.57)),
    ]
codes, verts = zip(*path_data)
path = mpath.Path(verts, codes)
patch = mpatches.PathPatch(path, facecolor='r', alpha=0.5)
ax.add_patch(patch)

# plot control points and connecting lines
x, y = zip(*path.vertices)
line, = ax.plot(x, y, 'go-')

ax.grid()
ax.axis('equal')
plt.show()

path_patch_demo.py