I have a pandas dataframe df looking like this:
a b
thisisastring 5
anotherstring 6
thirdstring 7
I want to remove characters from the left of the strings in column a based on the number in column b. So I tried:
df["a"] = d["a"].str[df["b"]:]
But this will result in:
a b
NaN 5
NaN 6
NaN 7
Instead of:
a b
sastring 5
rstring 6
ring 7
Any help? Thanks in advance!
Using zip
with string slice
df.a=[x[y:] for x,y in zip(df.a,df.b)]
df
Out[584]:
a b
0 sastring 5
1 rstring 6
2 ring 7
You can do it with apply
, to apply this row-wise:
df.apply(lambda x: x.a[x.b:],axis=1)
0 sastring
1 rstring
2 ring
dtype: object
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With