python教程分享Python中Matplotlib的点、线形状、颜色以及绘制散点图

from matplotlib import pyplot as plt  help(plt.plot)

plt.plot(x, y, marker='+', color='coral')

matplotlib.pyplot.scatter(x, y, s=none, c=none, marker=none, cmap=none, norm=none, vmin=none, vmax=none, alpha=none, linewidths=none, verts=none, edgecolors=none, hold=none, data=none, **kwargs)     x,y组成了散点的坐标；s为散点的面积；c为散点的颜色（默认为蓝色'b'）；marker为散点的标记；alpha为散点的透明度（0与1之间的数，0为完全透明，1为完全不透明）;linewidths为散点边缘的线宽；如果marker为none，则使用verts的值构建散点标记；edgecolors为散点边缘颜色。

import matplotlib   import matplotlib.pyplot as plt  import numpy as np  # 保证图片在浏览器内正常显示  %matplotlib inline     # 10个点  n = 10  x = np.random.rand(n)  y = np.random.rand(n)  plt.scatter(x, y)  plt.show()

n = 10  x = np.random.rand(n)  y = np.random.rand(n)  area = np.random.rand(n) * 1000  # 包含10个均匀分布的随机值的面积数组，大小[0, 1000]  fig = plt.figure()  ax = plt.subplot()  ax.scatter(x, y, s=area, alpha=0.5)  # 绘制散点图，面积随机  plt.show()  

n = 10  x = np.random.rand(n)  y = np.random.rand(n)  x2 = np.random.rand(n)  y2 = np.random.rand(n)  area = np.random.rand(n) * 1000  fig = plt.figure()  ax = plt.subplot()  ax.scatter(x, y, s=area, alpha=0.5)  ax.scatter(x2, y2, s=area, c='green', alpha=0.6)  # 改变颜色  plt.show()  

n = 10  x = np.random.rand(n)  y = np.random.rand(n)  x2 = np.random.rand(n)  y2 = np.random.rand(n)  x3 = np.random.rand(n)  y3 = np.random.rand(n)  area = np.random.rand(n) * 1000  fig = plt.figure()  ax = plt.subplot()  ax.scatter(x, y, s=area, alpha=0.5)  ax.scatter(x2, y2, s=area, c='green', alpha=0.6)  ax.scatter(x3, y3, s=area, c=area, marker='v', cmap='reds', alpha=0.7)  # 更换标记样式，另一种颜色的样式  plt.show()