How to Integrate Pandas with Python Kivy

In this Python Kivy article we want to learn about How to Integrate Pandas with Python Kivy, so Python Kivy is powerful GUI framework that can be used to create cross platform applications. one of the most common use cases for Kivy is in data visualization and manipulation. Pandas is popular data analysis library in Python that allows you to easily manipulate and analyze data. in this article we want to talk how to integrate Pandas with Python Kivy to create simple data analysis application.

How to Integrate Pandas with Python Kivy

First of all we need to install require libraries

pip install kivy
pip install pandas

1 2	pip install kivy pip install pandas

After that we want to create Kivy app that displays the data from our Pandas dataframe. for this we want to create new Kivy app and defines layout for displaying the data.

import pandas as pd
from kivy.app import App
from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label

class SalesApp(App):
    def build(self):
        # Create a Pandas dataframe with manual data
        data = {'Product': ['Product A', 'Product B', 'Product C'],
                'Price': [10.99, 15.99, 8.99],
                'Quantity': [100, 50, 200]}
        df = pd.DataFrame(data)

        # Create GridLayout for displaying data
        layout = GridLayout(cols=len(df.columns))

        # Add labels for each column in the dataframe
        for col in df.columns:
            layout.add_widget(Label(text=col))

        # Add data for each row in the dataframe
        for index, row in df.iterrows():
            for col in df.columns:
                layout.add_widget(Label(text=str(row[col])))

        return layout

if __name__ == '__main__':
    SalesApp().run()

import pandas as pd

from kivy.app import App

from kivy.uix.gridlayout import GridLayout

from kivy.uix.label import Label

class SalesApp(App):

def build(self):

# Create a Pandas dataframe with manual data

data = {'Product': ['Product A', 'Product B', 'Product C'],

'Price': [10.99, 15.99, 8.99],

'Quantity': [100, 50, 200]}

df = pd.DataFrame(data)

# Create GridLayout for displaying data

layout = GridLayout(cols=len(df.columns))

# Add labels for each column in the dataframe

for col in df.columns:

layout.add_widget(Label(text=col))

# Add data for each row in the dataframe

for index, row in df.iterrows():

for col in df.columns:

layout.add_widget(Label(text=str(row[col])))

return layout

if __name__ == '__main__':

SalesApp().run()

In the above code we have defined new Kivy app called SalesApp. in the build method we creates new GridLayout that has number of columns equal to the number of columns in our Pandas dataframe.

after that we add labels for each column in the dataframe using for loop. and at the end we add data for each row in the dataframe using another for loop. for each row we add a label for each column in the dataframe.

Run the code and this will be the result

How to Integrate Pandas with Python Kivy

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In this tutorial we have learned how to integrate Pandas with Kivy to create simple data analysis application. we have loaded data into Pandas dataframe, and then displayed the data in Kivy app using GridLayout layout. you can use this tutorial as starting point to build more complex data analysis applications with Kivy and Pandas.

How to Integrate Pandas with Python Kivy

Learn More on Kivy

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