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2025-09-21 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article will explain in detail how python uses pandas to read and write and append csv files. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.
Csv file
CSV file is one of the most commonly used file storage methods. Comma separated values (Common-Separated Values,CSV) files store table data in plain text (note: delimiters can also be other characters). Plain text indicates that the file is a sequence of characters and does not contain data that must be interpreted like binary numbers.
An CSV file consists of any number of records separated by some kind of newline character; each record consists of several fields separated by characters such as commas or strings.
First, create a csv file
Open it with notepad as shown
Second, read and write csv files 1. Basic pythonimport csvwith open ('supplier_data.csv','r') as f: reader = csv.reader (f) for row in reader: print (row)
2.pandasimport pandas as pddf = pd.read_csv ('supplier_data.csv') print (df)
Third, append csv file 1. Basic pythonimport csvwith open ('supplier_data.csv','a') as f: writer = csv.writer (f) writer.writerow.
At this point, we find that the added data will be empty, and to solve this problem, we need to use newline=''
Import csvwith open ('supplier_data.csv','a',newline='') as f: writer = csv.writer (f) writer.writerow.
At this point, the problem with the above code is solved.
2.pandasimport pandasa= {'sid': [7],' sname': ['hu'],' sage': [18], 'math': [100],' english': [90], 'cs': [85]} df = pandas.DataFrame (a) # mode =' a'is the appended data, and index is the index number of each row Header as the title df.to_csv ('supplier_data.csv',mode='a',index=False,header=False) on "python how to use pandas to read and write and append csv files" this article is shared here, I hope the above content can be of some help to you, so that you can learn more knowledge, if you think the article is good, please share it out for more people to see.
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