Missing axes argument in calendar_plot

[Gaiana]

Hello, I wanted to thank you for this amazing library! It's been really usefull for my projects. I detected what seems to be a bug in the calendar_plot arguments: there is no ax argument, but it appears in the documentation. I can make a pull request with a fix if that's ok.

july/src/july/plot.py

Lines 207 to 242 in 953ef3e

	def calendar_plot(
	dates: List[Union[str, datetime.date, datetime.datetime]],
	data: List[Any],
	cmap: Union[str, LinearSegmentedColormap, ListedColormap] = "july",
	value_label: bool = False,
	date_label: bool = False,
	weeknum_label: bool = True,
	month_label: bool = True,
	value_format: str = "int",
	title: bool = True,
	ncols: int = 4,
	figsize: Optional[Tuple[float, float]] = None,
	**kwargs
	) -> Axes:
	"""Create calendar shaped heatmap of all months im input dates and data.
	Args:
	dates: List like data structure with dates.
	data: List like data structure with numeric data.
	cmap: Colormap. Any matplotlib colormap works.
	value_label: Whether to add value label inside grid.
	date_label: Whether to add date label inside grid.
	weeknum_label: Whether to label the short axis with week numbers.
	month_label: Whether to add month label(s) along the long axis.
	value_format: Format of value_label: 'int' or 'decimal'. Only relevant if
	`value_label` is True.
	title: Title of the plot.
	ncols: Number of columns in the calendar plot.
	ax: Matplotlib Axes object.
	figsize: Figure size. Defaults to sensible values determined from 'ncols'.
	kwargs: Parameters passed to `update_rcparams`. Figure aesthetics. Named
	keyword arguments as defined in `update_rcparams` or a dict with any
	rcParam as key(s).
	Returns:
	Matplotlib Axes object.
	"""