问题
I have a CSV file im reading into pandas dataframe. All the numbers do not have any decimal places, but as soon as I read it into the dframe it adds a trailing zero to the number with a decimal.
1205 becomes 1205.0
How do I get rid of the 0 during pd.read_csv?
I know i can drop the .0 after it has been read into the dataframe, but i really need it not to happen at all.
I have tried float_precision='round_trip'
I have tried to force the dtype during read_csv
Some of the code i tried:
df = pd.read_csv('xxx.csv', header=None, dtype={'T': object,'Date': object,'VAL1': float, 'VAL2': float, 'VAL3': float, 'VAL4': float, 'VAL5': float})
OR
df = pd.read_csv('xxx.csv', header=None, float_precision='round_trip')
回答1:
You said you've tried to force dtype during read_csv, but I don't see why the following wouldn't solve your problem:
pd.read_csv('xxx.csv', dtype=str)
来源：https://stackoverflow.com/questions/55503007/how-to-remove-the-0-when-reading-csv-with-pandas