biodivx/matplotlib-demo

1import gradio as gr2import pandas as pd3import matplotlib.pyplot as plt4 5import matplotlib.pyplot as plt6import pandas as pd7 8def plot_graph(file):9    df = pd.read_csv(file.name)10    11    # Assuming 'Date' is formatted as 'YYYY-MM-DD' in the CSV.12    df['Date'] = pd.to_datetime(df['Date'])13 14    # Set figure and axes15    plt.figure(figsize=(10, 6))16    17    # Plot each species as a separate line18    for species in df['Species'].unique():19        species_data = df[df['Species'] == species]20        plt.plot(species_data['Date'], species_data['Count'], label=species, marker='o')21 22    # Setting labels and title23    plt.xlabel('Date')24    plt.ylabel('Count')25    plt.title('Observations of Species Over Time')26    plt.legend(title='Species')27    plt.grid(True)28    plt.xticks(rotation=45)29 30    # Save the plot31    plot_filename = 'plot.png'32    plt.savefig(plot_filename)33    plt.close()34    return plot_filename35 36 37examples = [38    ["example1.csv"],39]40 41interface = gr.Interface(42    fn=plot_graph,43    inputs=gr.File(label="Upload CSV File"),44    outputs=gr.Image(type="filepath", label="Generated Graph"),45    title="Species Observation Plotter",46    examples=examples47)48 49interface.launch()50