df = pd.DataFrame({'num':['9','','3','7','11']})
col_nm = 'num'
print(df)
num
0 9
1
2 3
3 7
4 11
If the num is greater than 5, I will convert it to 5. But after the number 10, there is no conversion.
string ="np.where(num == '',num,np.where(num >= '5', '5', num))"
string = string.replace(col_nm,"df['"+col_nm+"']")
df[col_nm] = eval(string)
print(df)
num
0 5
1
2 3
3 5
4 11
Is there any way to solve the logics using data and string while keeping them intact?
We need first convert to_numeric then use condition assign
df['num'] = pd.to_numeric(df['num'],errors='coerce')
df.loc[df['num'].between(5,10),'num'] = 5
df
Out[97]:
num
0 5.0
1 NaN
2 3.0
3 5.0
4 11.0