Python視覺化檢視

來源:互聯網
上載者:User

標籤:current   data   its   height   visual   ati   pandas   read   rom   

http://pbpython.com/visualization-tools-1.html

 

https://bokeh.pydata.org/en/latest/

 

https://github.com/bokeh/bokeh

 

http://biobits.org/bokeh-jupyter-embed.html

 

import pandas as pd
from bokeh.plotting import figure, show
from bokeh.io import output_notebook, output_file

power = pd.read_csv(‘power.csv‘)

time = power[‘time‘].tolist()
current = power[‘current‘].tolist()

plot = figure(title=‘Power Curve‘, plot_width=1900, plot_height=500)
plot.line(x=time, y=current, color=‘green‘)
output_notebook()
#show(plot)

Python視覺化檢視

相關文章

聯繫我們

該頁面正文內容均來源於網絡整理,並不代表阿里雲官方的觀點,該頁面所提到的產品和服務也與阿里云無關,如果該頁面內容對您造成了困擾,歡迎寫郵件給我們,收到郵件我們將在5個工作日內處理。

如果您發現本社區中有涉嫌抄襲的內容,歡迎發送郵件至: info-contact@alibabacloud.com 進行舉報並提供相關證據,工作人員會在 5 個工作天內聯絡您,一經查實,本站將立刻刪除涉嫌侵權內容。

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.