用列/系列中的值替换pandas子字符串 [英] Replacing a pandas substring with value from a column/Series
问题描述
我试图用pandas列中的值替换Pandas子字符串.之前尚未回答过这个问题.
I am trying to replace a Pandas substring with the value from a pandas column. This question has not been answered before.
TypeError跟踪(最近一次调用 最后) ----> 1 df ['name'].str.replace('(C)',df.name2)
TypeError Traceback (most recent call last) in ----> 1 df['name'].str.replace('(C)', df.name2)
〜/opt/anaconda3/lib/python3.7/site-packages/pandas/core/strings.py在
包装器(自己,* args,** kwargs)1841)1842
引发TypeError(msg)
-> 1843 return func(self,* args,** kwargs)1844 1845包装器.名称 = func_name
~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/strings.py in
wrapper(self, *args, **kwargs) 1841 ) 1842
raise TypeError(msg)
-> 1843 return func(self, *args, **kwargs) 1844 1845 wrapper.name = func_name
〜/opt/anaconda3/lib/python3.7/site-packages/pandas/core/strings.py在
replace(self,pat,repl,n,case,flags,regex)2714 def
replace(self,pat,repl,n = -1,case = None,flags = 0,regex = True):
第2715章真相大白
-> 2716 self._parent,pat,repl,n = n,case = case,flags = flags,regex = regex 2717)2718返回
self._wrap_result(result)
~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/strings.py in
replace(self, pat, repl, n, case, flags, regex) 2714 def
replace(self, pat, repl, n=-1, case=None, flags=0, regex=True):
2715 result = str_replace(
-> 2716 self._parent, pat, repl, n=n, case=case, flags=flags, regex=regex 2717 ) 2718 return
self._wrap_result(result)
〜/opt/anaconda3/lib/python3.7/site-packages/pandas/core/strings.py在 str_replace(arr,pat,repl,n,case,flags,regex) 597#检查repl是否有效(GH 13438,GH 15055) 第598章真相大白 -> 599提高TypeError("repl必须为字符串或可调用") 600 601 is_compiled_re = is_re(pat)
~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/strings.py in str_replace(arr, pat, repl, n, case, flags, regex) 597 # Check whether repl is valid (GH 13438, GH 15055) 598 if not (is_string_like(repl) or callable(repl)): --> 599 raise TypeError("repl must be a string or callable") 600 601 is_compiled_re = is_re(pat)
TypeError:repl必须为字符串或可调用
TypeError: repl must be a string or callable
data = {'id': [1, 2, 3, 4], 'name': ['name1 (C)', 'name2 (B)', 'name3', 'name4'],
'name2':['Jane','Abbie','Luke','Peter']}
df = pd.DataFrame(data)
df['name'].str.replace('\(C\)', df.name2)
预期结果:
id name name2
0 1 name1 Jane Jane
1 2 name2 Abbie Abbie
2 3 name3 Luke
3 4 name4 Peter
推荐答案
您需要python re.sub
和listcomp
You need python re.sub
and listcomp
import re
df['new_name'] = [re.sub(r'\(\w+\)', r, s) for r, s in zip(df.name2, df.name)]
Out[280]:
id name name2 new_name
0 1 name1 (C) Jane name1 Jane
1 2 name2 (B) Abbie name2 Abbie
2 3 name3 Luke name3
3 4 name4 Peter name4
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