Python Pandas read_excel无法识别空单元格 [英] Python Pandas read_excel doesn't recognize null cell

问题描述

我的Excel工作表:

My excel sheet:

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

Python代码:

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

返回正确的输出:

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

如果我只想处理第二列

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

返回:

 second
0  y
1  j

即使我只处理特定的列，我也将获得有关空白excel行(在df中为NaN)的信息. 如果输出松散的NaN信息，则不行，例如，对于跳草参数等，

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

谢谢

推荐答案

对我来说，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

或者如果需要省略第一行:

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

这篇关于Python Pandas read_excel无法识别空单元格的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！