Python Pandas read_excel doesn't recognize nul

问题:

My excel sheet:

   A   B  
1 first second
2
3 
4  x   y  
5  z   j

Python code:

df = pd.read_excel (filename, parse_cols=1)

return a correct output:

  first second
0 NaN   NaN
1 NaN   NaN
2 x     y
3 z     j

If i want work only with second column

df = pd.read_excel (filename, parse_cols=[1])

return:

 second
0  y
1  j

I'd have information about empty excel rows (NaN in my df) even if I work only with a specific column. If output loose NaN information it's not ok, for example, for skiprows paramater, etc

Thanks

回答1:

For me works parameter skip_blank_lines=False:

df = pd.read_excel ('test.xlsx', 
                     parse_cols=1, 
                     skip_blank_lines=False)
print (df)

       A       B
0  first  second
1    NaN     NaN
2    NaN     NaN
3      x       y
4      z       j

Or if need omit first row:

df = pd.read_excel ('test.xlsx', 
                     parse_cols=1, 
                     skiprows=1,
                     skip_blank_lines=False)
print (df)

  first second
0   NaN    NaN
1   NaN    NaN
2     x      y
3     z      j