Back ArrowExplore all kits

Pandas Dataframe with User Level Inputs

share link

by Abdul Rawoof A R dot icon Updated: Mar 1, 2023

technology logo
technology logo

Solution Kit Solution Kit  

We can use the input() function in Python to ask the user for input or information. As a parameter, we can input the text we want to display to the user, and then once the user presses "enter", the input value is returned. Then we can store user input in a variable to use the information in our program or application. 


The input() function: 

  • To get Python user input from the keyboard, use the input() function. 
  • After entering the value, press the enter key. 
  • There is no timeout for the user input, and the program waits for user input indefinitely. 
  • This function returns a string that we can store in a variable. 


  • Pandas: It is an open-source library in Python, providing ready-to-use high-performance data structures and data analysis tools. This module runs on top of NumPy, and it is most popularly used for data science and data analytics. 
  • NumPy: It is a Python library for working in linear algebra, matrices, and Fourier transform. 


Here is an example of how to get user input in Pandas DataFrame: 

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

Code

In this solution we're using Pandas library.

python pandas Dataframe with User level inputs

PythondotLines of Code : 22dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pandas as pd
import numpy as np

User_Name  = input('Name ')
Item_Purchased = input('Item Purchased ')
Item_Cost = input('Cost ')

purchae_1 = pd.Series( {'Name ': User_Name,
                        'Item Purchased ' : Item_Purchased, #<--- change is here
                        'Cost ' : Item_Cost}) #<--- change is here

purchae_2 = pd.Series({'Name ': User_Name,
                       'Item Purchased ': Item_Purchased,
                       'Cost ': Item_Cost})

purchae_3 = pd.Series({'Name ': User_Name,
                       'Item Purchased ': Item_Purchased,
                       'Cost ': Item_Cost})

df = pd.DataFrame([purchae_1,purchae_2,purchae_3], index = ['Store1', 'Store2', 'Store3'])
print(df.head())

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 Dataframe with User level inputs' 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 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.


Using this solution, we are able to implement pandas data frame with user level inputs 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 implement pandas data frame with user level inputs.

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
          Reuse

            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

                      You can also search for any dependent libraries on kandi like 'pandas'.

                      Support

                      1. For any support on kandi solution kits, please use the chat
                      2. For further learning resources, visit the Open Weaver Community learning page.


                      See similar Kits and Libraries

                      Open Weaver – Develop Applications Faster with Open Source

                      kandi

                      Community and Support

                      Company

                      Follow

                      • © 2023 Open Weaver Inc.