In this code, we use the with statement to open the file, which ensures that the file will be automatically closed after processing. We then created a csv reader object using the csv.reader() function and stored all the rows in a list. In the above code, the reader function in the csv module is used to read the csv file and obtain each row of data by traversing. For each row of data, we convert each element in it to a floating point number, and then store the converted result in a new list. "When the text file contains English double quotes, reading directly with pd.read_csv will result in a reduction in the number of lines. At this time, the parameter quoting=3 or quoting = csv.quote_none should be set to read_csv"
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What to learn today [CSV file reading operation] reader (): Get csv file information in the form of a list csv.dictreader (): Get csv file information in the form of a dictionary [CSV file writing operation] writer: Write a list. In python, you can use the codecs module to solve the problem of reading and writing garbled csv files. This module provides an open() function that can specify the file encoding. Below is a simple example of specifying the encoding when reading a csv file. Csv.reader is used to create a reader object that automatically handles the delimiter (comma by default) and newline character of the csv file. The for loop iterates through each row in the file. The row variable contains all the data of the current row, usually a list.
