CSV导入到Python中的空格分隔符

Question

I know there are more than a few questions regarding space delimiters in CSV files.

I have a CSV file that appears to be separated by a space. When importing to Python, I have tried every code out there to identify space as a delimiter. However, I keep getting error messages. For example:

    test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delim_whitespace=True )

this yields the following error:

EmptyDataError: No columns to parse from file

when I try this:

    test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delimiter=" " )

it gives the same error.

when i try this:

    test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, sep = "/s+" )

I get the same error.

When I try this:

        test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delimiter='\t')

I get the same error.

the ONLY WAY I dont get an error is if I do this:

        test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delimiter=',')

but the results look completely off, and test_df.info() shows that only one column is created (there should be like 100 columns).

Answer 1

I think pandas might do the trick, one of these should work.

import pandas as pd

df = pd.read_csv('file.csv', delim_whitespace=True)  
df = pd.read_csv('file.csv', delimiter=' ')

Answer 2

I know there are more than a few questions regarding space delimiters in CSV files.

I have a CSV file that appears to be separated by a space. When importing to Python, I have tried every code out there to identify space as a delimiter. However, I keep getting error messages. For example:

    test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delim_whitespace=True )

this yields the following error:

EmptyDataError: No columns to parse from file

when I try this:

    test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delimiter=" " )

it gives the same error.

when i try this:

    test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, sep = "/s+" )

I get the same error.

When I try this:

        test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delimiter='\t')

I get the same error.

the ONLY WAY I dont get an error is if I do this:

        test_filepath = 'test_data.csv'

with codecs.open(test_filepath, "r", "Shift-JIS", "ignore") as file:  # import UTF8 based csv file 
    test_df = pd.read_table( file, delimiter=',')

but the results look completely off, and test_df.info() shows that only one column is created (there should be like 100 columns).