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Pandas convert string to int

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by vsasikalabe dot icon Updated: Dec 22, 2022

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Alternatively, you can convert all string columns to integer type in pandas using to_numeric() . For example use df['Fee'] = pd. to_numeric(df['Fee']) function to convert 'Fee' column to int.


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 convert string to int

PythondotLines of Code : 33dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
ID = pd.to_numeric(ID, errors='coerce')

df.ID = pd.to_numeric(df.ID, errors='coerce')

df.ID = pd.to_numeric(df.ID, errors='coerce').fillna(0).astype(np.int64)

df = pd.DataFrame({'ID':['4806105017087','4806105017087','CN414149']})
print (df)
              ID
0  4806105017087
1  4806105017087
2       CN414149

print (pd.to_numeric(df.ID, errors='coerce'))
0    4.806105e+12
1    4.806105e+12
2             NaN
Name: ID, dtype: float64

df.ID = pd.to_numeric(df.ID, errors='coerce').fillna(0).astype(np.int64)
print (df)
              ID
0  4806105017087
1  4806105017087
2              0

df.ID = pd.to_numeric(df.ID, errors='coerce').astype('Int64')
print (df)
              ID
0  4806105017087
1  4806105017087
2            NaN

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add required dependencies and import them in Python file.
  4. Run the file to generate the output.


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


I found this code snippet by searching for ' Pandas convert string to int' in kandi. You can try any such use case!

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
      Security
        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.

                      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.
                      4. numpy version 1.24.0.


                      Using this solution, we are able to convert string to int using pandas 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 convert string to int using pandas.

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