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Is there a way to force pandas.DataFrame.to_csv flush the csv that it is writing?
In CSV file writing we can do the following (f1.flush)
with open("t.csv", 'w', encoding='utf-8') as f1:
writer = csv.writer(f1, delimiter=',', quoting=csv.QUOTE_MINIMAL, lineterminator='\n')
writer.writerow(header) # header
writer.writerow(row)
f1.flush()
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When you write pandas DataFrame to an existing CSV file, it overwrites the file with the new contents. To append a DataFrame to an existing CSV file, you need to specify the append write mode using mode='a' .
If you pass it an open file it will keep it open (reading from the current position), if you pass a string then read_csv will open and close the file.
Pandas DataFrame update() Method The update() method updates a DataFrame with elements from another similar object (like another DataFrame). Note: this method does NOT return a new DataFrame. The updating is done to the original DataFrame.
when passing a file path to pandas.to_csv(), the function will open a file, write to it, and close the file.
df.to_csv('my_output_file.csv')
# the file will now be fully written and fully flushed
thus flushing definitely happens as part of the OS handling of closing the file.
there is no need or possibility to further flush, the complete contents of the dataframe will be in the file
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