Is there a way to extract a specific substring from a pandas dataframe using a provided list for filtering?

Question

Is there a way to extract a specific substring from a pandas dataframe using a provided list for filtering?

While I know this question has been asked before, I'm struggling with list comprehensions and my code has a small twist to it.

In my dataframe, I have keywords that I want to filter based on whether they contain any of the keywords from a specific list.

It's important to clarify that I am not looking for an exact match, just the presence of a substring in the dataframe.

I believe the code should resemble something like this:

substring_list = ['abc', 'def']
df[df['tag'].str.contains(substring) for substring in substring_list]

However, I keep encountering syntax errors.

Any suggestions or insights?

Thank you for your assistance!

python pandas list-comprehension

Answer 1

Answer №1

To implement:

df['tag'].str.contains('|'.join(substring_list))

Answer 2

To implement:

df['tag'].str.contains('|'.join(substring_list))

Answer 3

Answer №2

To implement this solution, follow these steps:

Utilize pattern-based search by creating a regular expression that combines the words in the pattern using | like so:

df[df.tag.str.contains('|'.join(substring_list))]

If you only have a few specific strings to search for, you can do it easily like this:

df[df.tag.str.contains("abc|def")]

Here's an example to demonstrate how it works:

>>> df
   tag
0  abc
1  edf
2  abc
3  def
4  efg

>>> df[df.tag.str.contains("abc|def")]
   tag
0  abc
2  abc
3  def

>>> substring_list = ['abc', 'def']


>>> df[df.tag.str.contains('|'.join(substring_list))]
   tag
0  abc
2  abc
3  def

Answer 4

To implement this solution, follow these steps:

Utilize pattern-based search by creating a regular expression that combines the words in the pattern using | like so:

df[df.tag.str.contains('|'.join(substring_list))]

If you only have a few specific strings to search for, you can do it easily like this:

df[df.tag.str.contains("abc|def")]

Here's an example to demonstrate how it works:

>>> df
   tag
0  abc
1  edf
2  abc
3  def
4  efg

>>> df[df.tag.str.contains("abc|def")]
   tag
0  abc
2  abc
3  def

>>> substring_list = ['abc', 'def']


>>> df[df.tag.str.contains('|'.join(substring_list))]
   tag
0  abc
2  abc
3  def

Answer 5

Answer №3

Pandas employs binary filtering, generating a list of True / False values indicating whether the string includes your specified key. By performing bitwise AND or OR operations on all conditions, you can identify strings containing all or any of the substrings (based on your choice of 'and' & or 'or' symbol).

df[df['tag'].str.contains('abc') | df['tag'].str.contains('def')]

Answer 6

Pandas employs binary filtering, generating a list of True / False values indicating whether the string includes your specified key. By performing bitwise AND or OR operations on all conditions, you can identify strings containing all or any of the substrings (based on your choice of 'and' & or 'or' symbol).

df[df['tag'].str.contains('abc') | df['tag'].str.contains('def')]

Is there a way to extract a specific substring from a pandas dataframe using a provided list for filtering?

Answer №1

Answer №2

Answer №3

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