Using Python for data analysis--ipython

Data analysis using Python--ipython one, ipython some common commands

1.TAB Auto-complete
2. Variable +? Show related information
3. Function name +?? The code that can get the function
4. Use the wildcard character * NP. load?
5.%run + file name. PY can execute another script directly
6._ and __ will save the last two output results
7._ix and _x x line numbers will output the input and output of line X

Second, keyboard shortcut keys

1.ctrl+p forward Command
2.ctrl+n back command
3.ctrl+r Search History by row
4.CTRL+C Termination Program
5.ctrl+a cursor moves to the beginning of the line
6.ctrl+e cursor moves to end of line
7.ctrl+u clears all text for the current line
8.ctrl+l Clear Screen

Three, Magic command

1.%paste will execute the code in the Clipboard in the form of an overall execution.
2.%hist Print all the history of the command input
3.%run script.py executes a python script
4.%time Statement report statement execution time
5.%timeit statement report average execution time for statement

Iv. Executing shell commands

1.!cmd go to the shell side of the system to execute CMD
2.%PWD returns the current working directory of the system
3.%dirs returns a list containing the current directory stack
4.%ENV return system environment variables in dict form
5. Start with a command line that says the command needs to be executed in the shell
6.%CD Directory Change System working directory

Five, interactive debugger

1.%debug into Debug
2.Q Exit Debugger
3.b number number line break point

Six, code performance test

1.%time
2.%timeit
3.%prun
4.%run-p

Using Python for data analysis--ipython