Python+matplotlib绘制不同大小和颜色散点图实例


            	  具有不同标记颜色和大小的散点图演示。

演示结果：



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()



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