macrosynergy.panel.view_grades#

Functions for visualizing data grading and blacklisted periods from a quantamental DataFrame.

heatmap_grades(df, xcats, cids=None, start='2000-01-01', end=None, grade='grading', title=None, size=None)[source]#

Displays a heatmap of grading

Parameters:

  • df (DataFrame) – standardized DataFrame with the necessary columns: ‘cid’, ‘xcat’, ‘real_date’ and ‘grading’.

  • xcats (List[str]) – extended categorys to be checked on :param List[str] xcats: extended categorys to be checked on.

  • cids (List[str]) – cross sections to visualize. Default is all in DataFrame.

  • start (str) – earliest date in ISO format. Default is earliest available.

  • end (str) – latest date in ISO format. Default is latest available.

  • grade (str) – name of column that contains the grades. Default is ‘grading’.

  • title (str) – string of chart title; defaults depend on type of range plot.

  • size (Tuple[float]) – Tuple of width and height of graph. Default is None, meaning it is set in accordance with df.