1 engine analysis engine is used to read csv file generally designated python avoid an error caused by encoding and Chinese.
2 df.info () to help us find out each step of the column data types , as well as missing cases:
3 Pandas used, to avoid thinking treated with the data line, to gradually develop a column to thinking, each column is the same root, the process is fast up whizzing
41) increase in a, with DF [ 'new column name'] = new column value of the form
2) to develop a corresponding drop function to delete columns, axis = 1 denotes the column for the operation, with a plurality of rows deleted [col1, col2, col3]
3) Select a column: df [ 'Column Name'] to select multiple columns: df [[ 'first row', 'second row', 'the third column' ..]]
4 simple changes: df [ 'old column name'] = a value or a column value, to complete the modification of the original column values.
Modified multi-column: df2 [[ 'aa', 'cc']] = 90
5