将数字和字符串拆分为 pandas 上的不同列

Question

I like to split the column into str and numbers.

data={"name&numb":["cat 123","34 dog","bird 93","dolphin dof 8 ","lion cat 76","tiger 22 animal "]}
df=pd.DataFrame.from_dict(data)

I did this so split the numbers

df["number"]=df["name&numb"].str.extract('(\d+)')

Now I like to make one more column so I get only string, I do not know if it will affect but in the original data, not in the English language

something like:

 df["strings"]=df["name&numb"].str.extract('str')

Answer 1

I believe you need Series.str.extract with \D for non digit data with Series.str.strip for remove trailing whitespaces:

df["number"]=df["name&numb"].str.extract('(\d+)')

df["strings"] = df["name&numb"].str.extract('(\D+)', expand=False).str.strip()

If need all strings one idea is use:

f = lambda x: ' '.join(y for y in x.split() if not y.isdigit())
df["strings1"] = df["name&numb"].apply(f)
print (df)
          name&numb number      strings      strings1
0           cat 123    123          cat           cat
1            34 dog     34          dog           dog
2           bird 93     93         bird          bird
3    dolphin dof 8       8  dolphin dof   dolphin dof
4       lion cat 76     76     lion cat      lion cat
5  tiger 22 animal      22        tiger  tiger animal