Mplfinance tips
Plotting Financial Data with Market Color Overrides import polars as pl import mplfinance as mpf df = pl.read_csv("df.csv", try_parse_dates=True) df = df.to_pandas() df = df.set_index("datetime") # Plot the data without market color overrides mpf.plot(df,volume=False,type='candle',style='yahoo',figscale=1.4) # Initialize the MCOverrides column with the base market colors (black and white) mc = mpf.make_marketcolors(base_mpf_style='classic') # Get the target column target = df["target"] # Initialize the column with all values set to `mc` df['MCOverrides'] = [mc] * len(df) # Override the market colors based on the target value df....