第 3 列 pandas python 中至少有两列

Question

df

Col1   Col2   Col3   Col4    Col5
3       1      22     13      0
5       4      10      12     14
1       2      1        1      1

and so on

Code

df['Col6'] = df.min(axis=1)

This will return minimum of all 5 columns but I want a column which returns minimum of 2 columns Minimum of col 4 and col 1 lets say in a 6th column. How can I get that

Output expected : Min of col1 and col4 rounded off to 2 decimal places

df[6] = round(min(df[col4], df[col1]),2)

Answer 1

You can filter both columns by list and then add Series.round :

df['Col6'] = df[['Col4','Col1']].min(axis=1).round(2)
print (df)
   Col1  Col2  Col3  Col4  Col5  Col6
0     3     1    22    13     0     3
1     5     4    10    12    14     5
2     1     2     1     1     1     1  

Your solution should working with numpy.minimum and numpy.round :

df['Col6'] = np.round(np.minimum(df['Col4'], df['Col1']),2)