Python熊猫read_excel不识别空单元格

My excel sheet:

我的excel表:

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

Python code:

Python代码:

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

return a correct output:

返回一个正确的输出:

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

If i want work only with second column

如果我想只对第二列做功

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

return:

返回:

 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

我将获得关于空excel行(在我的df中是NaN)的信息，即使我只使用特定的列。如果输出松散的NaN信息，例如，对于skiprows参数，等等是不允许的

Thanks

谢谢

1 个解决方案

#1

For me works parameter skip_blank_lines=False:

我的工作参数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:

或者如果需要省略第一行:

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