I'm developing a visual using Python within Power BI, but due to the large dataset size, processing takes some time. How can I display a message or a loading symbol to inform users that the graph is temporarily blank because the Python script is still running? I attempted using the print statement within the figure environment, but it wasn't effective: import matplotlib.dates as mdates import pandas as pd import matplotlib.pyplot as plt from statsmodels.tsa.seasonal import seasonal_decompose # Assign the provided dataset to a dataframe df = dataset # Convert the 'Date' column to datetime, using a general format to handle inconsistencies df['feature1'] = pd.to_datetime(df['feature2'], errors='coerce') # Check for any parsing errors if df['feature1'].isna().any(): print("Warning: Some features could not be parsed and are set to NaT.") # Filter out rows where 'feature1' is NaT, as they won't plot correctly df = df.dropna(subset=['feature1']) # Create the plot fig, ax1 = plt.subplots(figsize=(10.0, 7.0)) print("Processing Data...") ax1.scatter(df['feature1'], df['feature3'], linewidth=1.5, color='blue', label='Label 1') # Set the x-axis limits and format xmin = df['feature1'].min() xmax = df['feature1'].max() ax1.set_xlim(xmin, xmax) ax1.set_ylim(275, 230) ax1.invert_yaxis() ax1.tick_params(axis='x', rotation=45) # Extract a single value from each array feature4 = df['feature5'].unique()[0] feature6 = df['feature7'].unique()[0] feature8 = df['feature9'].unique()[0] name = df['feature10'].unique()[0] # Plot the horizontal lines ax1.plot([xmin, xmax], [feature4, feature4], color='black', linestyle='--', linewidth=1, alpha=1, label='Label 2') ax1.plot([xmin, xmax], [feature6, feature6], color='darkgray', linestyle='--', linewidth=1, alpha=1, label='Label 3') ax1.plot([xmin, xmax], [feature8, feature8], color='orange', linestyle='--', linewidth=1, alpha=1, label='Label 4') # Set the x and y-axis labels and title ax1.set_xlabel('Feature X') ax1.set_ylabel('Feature Y') ax1.set_title('Plot Title {}'.format(name)) plt.tight_layout() ax1.legend() plt.show() Any guidance on how to implement a loading message until the data processing completes and the final graph is generated would be greatly appreciated. Thank you! Continue reading...
