Python+matplotlib绘制不同大小和颜色散点图实例
发布时间:2020-12-17 07:32:20 所属栏目:Python 来源:网络整理
导读: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 npimport matplotlib.pyplot as pltimport matplotlib.cbook as cbook# Load a numpy record array from yahoo csv data with fields date,open,close,# volume,adj_close from
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() 总结 以上就是本文关于Python+matplotlib绘制不同大小和颜色散点图实例的全部内容,希望对大家有所帮助。感兴趣的朋友可以继续参阅本站其他相关专题,如有不足之处,欢迎留言指出。感谢朋友们对本站的支持! 您可能感兴趣的文章:
(编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |