Replace a sub-string

I'm trying to use regular expressions to replace some things in a text.

My dataframe:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                       code : bla!123

  French      house                        Hello George!

 English  apartment   Ethan, my phone is <phone_numbers>

Good output:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                        code : <code>

  French      house                        Hello George! 

 English  apartment   Ethan, my phone is <phone_numbers>

First, I tried this:

df['C'] = df['C'].str.replace(r'((ask code)|(code))s?:?s?w+','<code>')

It works, but not completely.

code : bla!123

Output:

<code>!123

So, I tried this:

df['C'] = df['C'].str.replace(r'(ask code)|(code)s?:?s?), (s?w+)', r'2,<code>')

But nothing happened...

edited Nov 12 '18 at 10:56

asked Nov 12 '18 at 10:50

marin

37817

1

Your first try should give <code>!123
– Toto
Nov 12 '18 at 10:55

Sorry, my mistake
– marin
Nov 12 '18 at 10:57

1

@marin do you want code : <code> or code : <code>!123 as output.
– Sandeep Kadapa
Nov 12 '18 at 11:06

@SandeepKadapa code : <code>
– marin
Nov 12 '18 at 11:07

add a comment |

I'm trying to use regular expressions to replace some things in a text.

My dataframe:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                       code : bla!123

  French      house                        Hello George!

 English  apartment   Ethan, my phone is <phone_numbers>

Good output:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                        code : <code>

  French      house                        Hello George! 

 English  apartment   Ethan, my phone is <phone_numbers>

First, I tried this:

df['C'] = df['C'].str.replace(r'((ask code)|(code))s?:?s?w+','<code>')

It works, but not completely.

code : bla!123

Output:

<code>!123

So, I tried this:

df['C'] = df['C'].str.replace(r'(ask code)|(code)s?:?s?), (s?w+)', r'2,<code>')

But nothing happened...

edited Nov 12 '18 at 10:56

asked Nov 12 '18 at 10:50

marin

37817

1

Your first try should give <code>!123
– Toto
Nov 12 '18 at 10:55

Sorry, my mistake
– marin
Nov 12 '18 at 10:57

1

@marin do you want code : <code> or code : <code>!123 as output.
– Sandeep Kadapa
Nov 12 '18 at 11:06

@SandeepKadapa code : <code>
– marin
Nov 12 '18 at 11:07

add a comment |

I'm trying to use regular expressions to replace some things in a text.

My dataframe:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                       code : bla!123

  French      house                        Hello George!

 English  apartment   Ethan, my phone is <phone_numbers>

Good output:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                        code : <code>

  French      house                        Hello George! 

 English  apartment   Ethan, my phone is <phone_numbers>

First, I tried this:

df['C'] = df['C'].str.replace(r'((ask code)|(code))s?:?s?w+','<code>')

It works, but not completely.

code : bla!123

Output:

<code>!123

So, I tried this:

df['C'] = df['C'].str.replace(r'(ask code)|(code)s?:?s?), (s?w+)', r'2,<code>')

But nothing happened...

edited Nov 12 '18 at 10:56

asked Nov 12 '18 at 10:50

marin

37817

I'm trying to use regular expressions to replace some things in a text.

My dataframe:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                       code : bla!123

  French      house                        Hello George!

 English  apartment   Ethan, my phone is <phone_numbers>

Good output:

       A          B                                    C

  French      house               Phone. <phone_numbers>

 English      house               email - <adresse_mail>

  French  apartment                        code : <code>

  French      house                        Hello George! 

 English  apartment   Ethan, my phone is <phone_numbers>

First, I tried this:

df['C'] = df['C'].str.replace(r'((ask code)|(code))s?:?s?w+','<code>')

It works, but not completely.

code : bla!123

Output:

<code>!123

So, I tried this:

df['C'] = df['C'].str.replace(r'(ask code)|(code)s?:?s?), (s?w+)', r'2,<code>')

But nothing happened...

regex pandas replace

edited Nov 12 '18 at 10:56

asked Nov 12 '18 at 10:50

marin

37817

edited Nov 12 '18 at 10:56

asked Nov 12 '18 at 10:50

marin

37817

edited Nov 12 '18 at 10:56

asked Nov 12 '18 at 10:50

marin

37817

asked Nov 12 '18 at 10:50

marin

37817

asked Nov 12 '18 at 10:50

marin

37817

1

Your first try should give <code>!123
– Toto
Nov 12 '18 at 10:55

Sorry, my mistake
– marin
Nov 12 '18 at 10:57

1

@marin do you want code : <code> or code : <code>!123 as output.
– Sandeep Kadapa
Nov 12 '18 at 11:06

@SandeepKadapa code : <code>
– marin
Nov 12 '18 at 11:07

add a comment |

1

Your first try should give <code>!123
– Toto
Nov 12 '18 at 10:55

Sorry, my mistake
– marin
Nov 12 '18 at 10:57

1

@marin do you want code : <code> or code : <code>!123 as output.
– Sandeep Kadapa
Nov 12 '18 at 11:06

@SandeepKadapa code : <code>
– marin
Nov 12 '18 at 11:07

Your first try should give <code>!123
– Toto
Nov 12 '18 at 10:55

Sorry, my mistake
– marin
Nov 12 '18 at 10:57

@marin do you want code : <code> or code : <code>!123 as output.
– Sandeep Kadapa
Nov 12 '18 at 11:06

@SandeepKadapa code : <code>
– marin
Nov 12 '18 at 11:07

add a comment |

2 Answers
2

active

oldest

votes

I'd do:

df['C'] = df['C'].str.replace(r'(ask code|code)(s?:?s?).+', r'12<code>')

answered Nov 12 '18 at 10:57

Toto

64.9k175698

add a comment |

input:

 import re

 string = 'code : bla!123'

 string.replace((re.match(r'code*s?:?s?(.*)',string)[1]), '<code>')

output:

 'code : <code>'

answered Nov 12 '18 at 11:10

lfkopp

842

add a comment |

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2 Answers
2

active

oldest

votes

2 Answers
2

active

oldest

votes

I'd do:

df['C'] = df['C'].str.replace(r'(ask code|code)(s?:?s?).+', r'12<code>')

answered Nov 12 '18 at 10:57

Toto

64.9k175698

add a comment |

I'd do:

df['C'] = df['C'].str.replace(r'(ask code|code)(s?:?s?).+', r'12<code>')

answered Nov 12 '18 at 10:57

Toto

64.9k175698

add a comment |

I'd do:

df['C'] = df['C'].str.replace(r'(ask code|code)(s?:?s?).+', r'12<code>')

answered Nov 12 '18 at 10:57

Toto

64.9k175698

I'd do:

df['C'] = df['C'].str.replace(r'(ask code|code)(s?:?s?).+', r'12<code>')

answered Nov 12 '18 at 10:57

Toto

64.9k175698

answered Nov 12 '18 at 10:57

Toto

64.9k175698

answered Nov 12 '18 at 10:57

Toto

64.9k175698

answered Nov 12 '18 at 10:57

Toto

64.9k175698

add a comment |

input:

 import re

 string = 'code : bla!123'

 string.replace((re.match(r'code*s?:?s?(.*)',string)[1]), '<code>')

output:

 'code : <code>'

answered Nov 12 '18 at 11:10

lfkopp

842

add a comment |

input:

 import re

 string = 'code : bla!123'

 string.replace((re.match(r'code*s?:?s?(.*)',string)[1]), '<code>')

output:

 'code : <code>'

answered Nov 12 '18 at 11:10

lfkopp

842

add a comment |

input:

 import re

 string = 'code : bla!123'

 string.replace((re.match(r'code*s?:?s?(.*)',string)[1]), '<code>')

output:

 'code : <code>'

answered Nov 12 '18 at 11:10

lfkopp

842

input:

 import re

 string = 'code : bla!123'

 string.replace((re.match(r'code*s?:?s?(.*)',string)[1]), '<code>')

output:

 'code : <code>'

answered Nov 12 '18 at 11:10

lfkopp

842

answered Nov 12 '18 at 11:10

lfkopp

842

answered Nov 12 '18 at 11:10

lfkopp

842

answered Nov 12 '18 at 11:10

lfkopp

842

add a comment |

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