snshistplotdatadf

snshistplotdatadf is a data frame used in certain data visualization workflows to store precomputed histogram data for a seaborn-inspired histogram plot. It is not a standard library object with a universal definition; instead, it represents a project-specific container that separates data preparation from plotting. The frame typically encapsulates the binning results and related metadata needed to render a histogram or faceted histograms consistently.

A typical snshistplotdatadf contains the following types of information. Bin boundaries or edges (such as bin_left and bin_right, or bin_edges) define the histogram intervals. Each bin may include a center or midpoint (bin_center). For each bin, counts or frequencies (count or freq) are recorded, often alongside density values (density) and sometimes the proportion of observations in the bin (proportion). Optional columns may cover cumulative counts (cumulative), the variable being plotted (variable), and grouping or faceting keys (group or hue, facet). Additional metadata might include total observations, the number of bins, and the original data range used for binning.

Generation and use typically involve a data preparation step that bins a continuous variable, computes the summary statistics per bin, and stores the result in snshistplotdatadf. A downstream plotting function then consumes this frame to render the histogram, enabling consistent binning, labeling, and grouping across plots. This separation improves reproducibility and makes it easier to adjust binning strategies or group-level aesthetics without altering the plotting code.

Notes: the exact column names and structure vary by project. The term snshistplotdatadf usually signals a dedicated, project-specific convention for histogram data storage rather than a universal standard.