Jupyter notebook basic knowledge learning

For a long time , I always want to learn data
There is probably data analysis , Data mining and modeling , Data visualization , The web crawler is also a derivative

preparation

Books ( In addition )

• python The data visualization part of the foundation from introduction to practice ( Take a look )
• python Data mining and modeling practice
• python Data Science Handbook

Environmental Science

pycharm(kite The completion code )（ Not commonly used ）

jupyter notebook

No complement found matplotlib Methods , Bother ... It's time to memorize grammar
It's written on the web page , See a lot of people use
Some tips summarized by myself

Shortcut keys and magic commands

• Multiline comment ctrl+/
• Multiline substitution alt The cursor is a cross drag
• revoke ctrl+z
• Fast operation ctrl+Enter Don't go to the next cell
• Fast operation shift+enter Go to the next cell
• Press esc Enter command mode , Box turns blue
  • A and B Insert... Above and below cell
  • shift+M merge cell
  • L Show / Hide line numbers
  • Press M Turn into markdown Pattern , At this point, the text is parsed as markdown Language
• view help
  • shift+tab
  • ?
  • help( The name of the function )
• ctrl+shift Move the cursor to select
• fn+-> Move end of line
• fn+<- Move the beginning of a line
• esc+ Space Scroll down
• esc+ Space +shift Scroll up
• ctrl+shift+- segmentation cell
• %pwd Show current directory
• %hist All historical commands
• %who All variables
• %reset amount to matlab Medium clear all, Clear all variables
• %time Code run time
• %timeit Calculate the average execution time of the current code line
• %%timeit Calculate current cell Run time of
• %matplotlib Pictures are generated separately
• %matplotlib inline Picture inline , Default parameters
• %load Used to load local files
• %run Used to run the

export file

import matplotlib.pyplot as plt
from easydl import clear_output


%matplotlib inline
squares = [1, 4, 9, 16, 25]
plt.plot(squares,linewidth=14)

#  Export pictures 
plt.savefig('./test1.png')#  Current directory 
plt.savefig('./test1.jpg')
plt.savefig('./test1.pdf')
plt.savefig('./image/test1.png')#  subdirectories ( Must be created in advance )