| import pandas as pd | |
| import gradio as gr | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| from seaborn import FacetGrid | |
| import plotly.express as px | |
| def plot_top_best_behaviour_markets(markets_data: pd.DataFrame): | |
| """Function to paint the top markets with the lowest metric of distribution gap""" | |
| sorted_data = markets_data.sort_values(by="dist_gap_perc", ascending=False) | |
| top_best_markets = sorted_data[["title", "sample_datetime", "dist_gap_perc"]].head( | |
| 5 | |
| ) | |
| return gr.DataFrame(top_best_markets) | |