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| import gradio as gr | |
| import os | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| def dataset_change(dataset): | |
| df = pd.read_csv(dataset.name) | |
| features = df.columns | |
| features_object_list = [feature for feature in features] | |
| describe = df.describe(include='all') | |
| print(describe) | |
| return describe.reset_index(), gr.Dropdown.update(choices = features_object_list), gr.Dropdown.update(choices = features_object_list) | |
| def feature_select(dataset, feature, hue = None): | |
| df = pd.read_csv(dataset.name) | |
| non_numeric_cols = df.select_dtypes('object').columns.tolist() | |
| if feature in non_numeric_cols: | |
| kde = False | |
| plot2 = plt.figure() | |
| if hue: | |
| sns.countplot(x = feature, data = df, palette='rainbow', hue = hue) | |
| else: | |
| sns.countplot(x = feature, data = df, palette='rainbow') | |
| else: | |
| kde = True | |
| plot2 = plt.figure() | |
| if hue: | |
| sns.boxplot(x = feature, data = df, hue = hue) | |
| else: | |
| sns.boxplot(x = feature, data = df ) | |
| plot1 = plt.figure() | |
| if hue: | |
| sns.histplot(data = df, x = feature, kde = kde, hue = hue, multiple="stack") | |
| else: | |
| sns.histplot(data = df, x = feature, kde = kde) | |
| return plot1, plot2 | |
| with gr.Blocks() as demo: | |
| gr.Markdown("""## Input Dataset""") | |
| with gr.Row(): | |
| dataset = gr.File() | |
| with gr.Row(): | |
| dataframe = gr.Dataframe() | |
| gr.Markdown("""## Select the feature to visualize""") | |
| with gr.Row(): | |
| with gr.Column(): | |
| features = gr.Dropdown(label="Select feature to visualize") | |
| with gr.Column(): | |
| hue = gr.Dropdown(label="Select hue") | |
| with gr.Row(): | |
| btn = gr.Button("Visualize") | |
| gr.Markdown("""## Visualization""") | |
| with gr.Row(): | |
| plot1 = gr.Plot() | |
| with gr.Row(): | |
| plot2 = gr.Plot() | |
| gr.Examples( | |
| examples=[], | |
| fn = dataset_change, | |
| inputs = dataset, | |
| outputs = [dataframe, features, hue] | |
| ) | |
| dataset.change(fn=dataset_change, | |
| inputs = dataset, | |
| outputs = [dataframe, features, hue] | |
| ) | |
| btn.click(fn=feature_select, | |
| inputs=[dataset, features, hue], | |
| outputs=[plot1, plot2] | |
| ) | |
| demo.launch(debug=True) |