calplot 0.1.1

Calendar heatmaps from Pandas time series data

Calplot creates heatmaps from Pandas time series data.

Plot Pandas time series data sampled by day in a heatmap per calendar year, similar to GitHub’s contributions plot, using matplotlib.

Package calplot is a fork of calmap with the following changes and additions.

• pandas>=0.18 is now required to install the package. Legacy code for compatibility removed. Fixed a FutureWarning in yearplot.

• Function calendarplot renamed to calplot.

• Argument colorbar added for function calplot to display a colorbar to the right of the heatmap if more than one unique values in plot. Defaults to True.

• Argument dropzero added for function calplot and yearplot to specify whether to not fill a cell with a color for days with a zero value. Defaults to True.

• Argument figsize added for function calplot. Defaults to a tighter layout automatically adjusted to fit the number of years in plot.

• Argument suptitle added for function calplot. Defaults to None.

• Argument yearcolor added for function calplot. Defaults to lightgray (in contrast to whitesmoke, the default value for fillcolor).

• Default colormap cmap for yearplot (and hence calplot) changed to viridis.

Usage

See the documentation.

Installation

To install the latest release via PyPI using pip:

pip install calplot

Todo

• Option to add a seperating line between months.

• Option to plot a rounded value for the day or plot the day of month for each mesh grid cell.

• Option to change horizontal alignment (for example, to the left) for month labels.

• Fix figsize for yearplot.

• Fix colorbar misalignment for plots with different dpi values.