app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.

# %% auto 0
__all__ = ['template', 'switch', 'url', 'file', 'bound_data', 'show_input_widget', 'get_data']

# %% app.ipynb 1
import panel as pn
import hvplot.pandas
import pandas as pd
import numpy as np
import io
import helpers.utils as utils



# %% app.ipynb 2
pn.extension(
    
)
template = pn.template.FastListTemplate(title="Dataset Analyser", site="Dashboard", main=[],    
   
   
)
template.sidebar.append(pn.Column(
    pn.pane.Markdown(
        """
        # Welcome to the Interactive Data App

        This app allows you to interact with the data in a number of ways.
        """
    )
));

# %% app.ipynb 3
template.sidebar.append(pn.Column(
    pn.pane.Markdown(
        """
        ## Load Data

        You can load the data from a URL or upload a file.
        """
    )
));

switch = pn.widgets.Switch(name="URL - FILE", value=False)
url = pn.widgets.TextAreaInput(name="url", placeholder="Enter the url of the dataset", value="https://raw.githubusercontent.com/holoviz/panel/main/examples/assets/occupancy.csv");
file = pn.widgets.FileInput(
    accept=".csv", name="Upload a CSV file",
)


# %% app.ipynb 4
def show_input_widget(switch: pn.widgets.Switch):
    if not switch:
       return pn.Row(url);
    else:
       return pn.Row(file);


# %% app.ipynb 5
def get_data(switch: pn.widgets.Switch, url: pn.widgets.TextAreaInput, file: pn.widgets.FileInput):
    df = None
    if not switch:
        df = pd.read_csv(url)
    else:
        if file is None:
            return "No file selected"
        df = pd.read_csv(io.BytesIO(file))
    
    visualizations = utils.Visualizations(df, pn)
    high_level_widget = visualizations.high_level_visualization()
    shape_widget = visualizations.data_shape_visualization()
    nature_widget = visualizations.nature_visualization()
    distribution_widget = visualizations.distribution_visualization()
    
    return pn.Column(
        high_level_widget,
        pn.Row(shape_widget,
        nature_widget,
        distribution_widget)
    )
    

bound_data = pn.bind(get_data, switch=switch, url=url, file=file)
template.sidebar.append(pn.Column(
    pn.Row(switch),
    pn.Row(pn.bind(show_input_widget, switch)),
    ));

template.main.append(bound_data)    
template.servable();

# %% app.ipynb 6
# | export


# %% app.ipynb 7
# dataset = None
# if file:
#     dataset = pd.read_csv(file)
# else:
#     dataset = pd.read_csv(url.value)
# pn.Row(dataset.head().hvplot().opts(width=800, height=400)).servable(target="main");