如何使用Python Pandas删除DataFrame中特定列的％符号？

Question

My data frame have following data:

company,standard,returns
aaa,b1,10%
bbb,b2,20%

I have to remove % from returns column.

Answer 1

First remove last value of each string by indexing with str and then cast to int or float :

#if int values
print (df['returns'].str[:-1].astype(int))

#if flaot values
print (df['returns'].str[:-1].astype(float))

Sample:

print (df)
  company standard returns
0    tata       b1     10%
1    dell       b2     10%

#if int values
df['returns'] = (df['returns'].str[:-1].astype(int))
print (df)
  company standard  returns
0    tata       b1       10
1    dell       b2       10

Another solution with str.strip :

df['returns'] = (df['returns'].str.strip('%').astype(int))
print (df)
  company standard  returns
0    tata       b1       10
1    dell       b2       10

Answer 2

Use vectorized str.replace :

In [225]:
df['returns'] = df['returns'].str.replace('\%','')
df

Out[225]:
  company standard returns
0     aaa       b1      10
1     bbb       b2      20

You can cast the dtype afterwards using astype(int) or astype(float)