Python matplotlib绘制不同大小和颜色散点图实例

这篇文章主要介绍了Python matplotlib绘制不同大小和颜色散点图实例，matplotlib的用法是比较多种多样的，下面一起看看其中的一个实例吧

具有不同标记颜色和大小的散点图演示。

演示结果：

http://files.jb51.net/file_images/article/201801/2018119164847066.png?2018019164856matplotlib绘制不同大小和颜色散点图实例" />

实现代码：

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
 
# Load a numpy record array from yahoo csv data with fields date, open, close,
# volume, adj_close from the mpl-data/example directory. The record array
# stores the date as an np.datetime64 with a day unit ('D') in the date column.
with cbook.get_sample_data('goog.npz') as datafile:
  price_data = np.load(datafile)['price_data'].view(np.recarray)
price_data = price_data[-250:] # get the most recent 250 trading days
 
delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1]
 
# Marker size in units of points^2
volume = (15 * price_data.volume[:-2] / price_data.volume[0])**2
close = 0.003 * price_data.close[:-2] / 0.003 * price_data.open[:-2]
 
fig, ax = plt.subplots()
ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)
 
ax.set_xlabel(r'$\Delta_i$', fontsize=15)
ax.set_ylabel(r'$\Delta_{i 1}$', fontsize=15)
ax.set_title('Volume and percent change')
 
ax.grid(True)
fig.tight_layout()
 
plt.show()

总结

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