Import and export of pandas data under Ipython Notebook tool

The file to be read is in .csv format and is read through the file path.

Automatic index allocation

Manually assign index

Set multi-level row index

Handling irregular delimiters

Dealing with missing values

Specify missing values to specify missing values

for different columns

Modular processing of big data

Sub-module count (read one thousand lines each time), the for loop realizes the

extraction of the top ten

Save data to disk

Specify several columns of data to be written, and specify the separator

to read and save
binary data. Advantages: small capacity, fast reading speed, disadvantages: incompatibility between different versions, such as the binary data saved in earlier versions after Pandas version upgrades It may not be removed normally.