I have a pandas df as the following.

I want to detect whether there is an apostrophe in the word on the right, and add the same number that is on the left in the corresponding row 2 times.

i.e. The output should be like the following.

Because there is an apostrophe in "it's" on the right in the second row, I want to add the same number twice on the left to the same cell.

I tried the following.

if df1['Word'].str.contains("'").any():
  l.append(df1.iloc[0]['I'])

But I'm unsure about what to do after.

CodePudding user response：

don't think difficult, your solution is simple:

df1.apply(check_apostrophe, axis=1)

with pandas.DataFrame.apply method and set axis=1 you can apply a function to each row, my function is check_apostrophe:

def check_apostrophe(x):
    if "'" in str(x["Word"]):
        x["Number"] = repeat(x["Number"])
    return x

def repeat(string):
    string  = " " string[-1] #if your string is striped
    return string

test: https://onecompiler.com/python/3xfve7kur

result:

CodePudding user response：

You could write a conditional statement with np.where to update the Number column accordingly.

import pandas as pd
import numpy as np
df = pd.DataFrame({'Number': ['1 1 1', '2 2', '3 3 3 3', '4'],
 'Word': ['a b c', "hi it's", 'hello world hi everyone', "can't"]})

df['Number'] = np.where(df['Word'].str.contains("'"),
                        df['Number']   ' '   df.Number.str.split().str[0]   ' '   df.Number.str.split().str[0],
                        df['Number'])

Output

    Number                     Word
0    1 1 1                    a b c
1  2 2 2 2                  hi it's
2  3 3 3 3  hello world hi everyone
3    4 4 4                    can't