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Pandas dataframe search string in the entire row

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by vsasikalabe dot icon Updated: Feb 28, 2023

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We have to create a data frame for searching a string. Print the data frame by using pd.Dataframe(). df[search_string] method searches a string with a lambda expression. Here the search term is Jones. If this string is present, the value is set to 1; otherwise, it is 0. 


In Pandas, the contains method searches a column for a specific substring. The contains method returns boolean values for the data frame. If the original data frame value contains the substring, it is set to be True; otherwise, it is false. In Python, pandas.DataFrame.apply() can be used with lambda to execute a particular expression. In Python, a lambda function is a small unnamed function that can take any number of arguments and execute an expression. We can create one by using the lambda keyword. In Pandas, with the help of the lambda function, we can add any function to any row or column. 

  • First, create a data frame (df) 
  • Use df.apply() to apply the search function to the axis of the data frame. It returns the matching string. 
  • Use df_list.append() to search string elementwise. 
  • Use pd.concat() to concatenate the data. 
  • Print the data frame to get the output of the matching string. 


Here is an example of how to search string in the entire row in Pandas Data frame: 

Preview of the output that you will get on running this code from your IDE.

Code

In this solution we used pandas library of python.

pandas dataframe search string in the entire row

Lines of Code : 32dotLicense : Strong Copyleft (CC BY-SA 4.0)

search_string = 'Jones'

df[search_string] = (df.apply(lambda x: x.str.contains(search_string))
                       .any(axis=1).astype(int))
df

Out[2]:
     Feb    Jan    Mar   account     Jones
0    200    150    140   Jones LLC   1
1    210    Jones  215   Alpha Co    1
2    90     50     95    Blue Inc    0

df_list = []

for search_string in ['Jones', 'Co', 'Alpha']:
    #use above method but rename the series instead of setting to
    # a columns. The append to a list.
    df_list.append(df.apply(lambda x: x.str.contains(search_string))
                     .any(axis=1)
                     .astype(int)
                     .rename(search_string))

#concatenate the list of series into a DataFrame with the original df
df = pd.concat([df] + df_list, axis=1)
df

Out[5]:
    Feb    Jan     Mar    account    Jones  Co   Alpha
0   200    150     140    Jones LLC  1      0    0
1   210    Jones   215    Alpha Co   1      1    1
2   90     50      95     Blue Inc   0      0    0

Instructions

Follow the steps carefully to get the output easily.

  1. Download and Install PyCharm on your Computer.
  2. Create a New Python file on your IDE.
  3. Copy the snippet using the 'copy' and paste it into your Python file.
  4. Install pandas on your IDE and import them.
  5. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, and version information in the following sections.


I found this code snippet by searching for ' Pandas dataframe search string in the entire row 'in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2022.3.
  2. The solution is tested on Python 3.11.1
  3. Pandas version-1.5.2.


Using this solution, we are able to do Pandas dataframe search string in the entire row with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to do Pandas dataframe search string in the entire row.

Dependent Library

pandasby pandas-dev

Python doticonstar image 38689 doticonVersion:v2.0.2doticon
License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Support
    Quality
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        License
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            pandasby pandas-dev

            Python doticon star image 38689 doticonVersion:v2.0.2doticon License: Permissive (BSD-3-Clause)

            Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
            Support
              Quality
                Security
                  License
                    Reuse

                      If you do not have pandas library that is required to run this code, you can install it by clicking on the above link.

                      You can search for any dependent library on kandi like pandas.

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