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Corrected code formatting, improved answer clarity.
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Deepstop
Deepstop
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You can try doing this:

pd.read_csv('source.txt',header=0, delim_whitespace=True)

If you have any white spaces in the data you're gonnawill get an error, so delim_whitespace is included to remove those in case they're in the data.

You can try doing this:

pd.read_csv('source.txt',header=0, delim_whitespace=True)

If you have any white spaces in the data you're gonna get an error, so delim_whitespace is included to remove those in case they're in the data.

You can try doing this:

pd.read_csv('source.txt',header=0, delim_whitespace=True)

If you have any white spaces in the data you're will get an error, so delim_whitespace is included to remove those in case they're in the data.

Corrected code formatting, improved answer clarity.
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edit approved Sep 17, 2019 at 20:03
Das_Geek
edit approved Sep 17, 2019 at 20:03
Das_Geek
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You can try doing this: pd.read_csv('source.txt',header=0, delim_whitespace=True) If

pd.read_csv('source.txt',header=0, delim_whitespace=True)

If you have any white spaces in the data youyou're gonna get an error, so we include delim_whitespacedelim_whitespace is included to remove those in case if we havethey're in the data.

You can try doing this: pd.read_csv('source.txt',header=0, delim_whitespace=True) If you have any white spaces in data you gonna get an error so we include delim_whitespace to remove those in case if we have in the data.

You can try doing this:

pd.read_csv('source.txt',header=0, delim_whitespace=True)

If you have any white spaces in the data you're gonna get an error, so delim_whitespace is included to remove those in case they're in the data.

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kaushik Tummalapali
kaushik Tummalapali
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You can try doing this: pd.read_csv('source.txt',header=0, delim_whitespace=True) If you have any white spaces in data you gonna get an error so we include delim_whitespace to remove those in case if we have in the data.