paired_plot

hhpy.plotting.paired_plot(data: pandas.core.frame.DataFrame, cols: Sequence[T_co], color: str = None, cmap: str = None, alpha: float = 1, **kwargs) → seaborn.axisgrid.FacetGrid[source]

create a facet grid to analyze various aspects of correlation between two variables using seaborn.PairGrid

Parameters:
  • data – Pandas DataFrame containing named data, optional if vector data is used
  • cols – list of exactly two variables to be compared
  • color – Color used for plotting, must be known to matplotlib.pyplot [optional]
  • cmap – Color map to use [optional]
  • alpha – Alpha transparency level [optional]
  • kwargs – other arguments passed to seaborn.PairGrid
Returns:

seaborn FacetGrid object with the plots on it