atmospy.dielplot#
- atmospy.dielplot(data=None, *, x=None, y=None, ax=None, ylim=None, xlabel=None, ylabel=None, title=None, color=None, show_iqr=True, plot_kws=None, **kwargs)#
Plot the diel (e.g., diurnal) trend for a pollutant.
Diel plots can be incredibly useful for understanding daily patterns of air pollutants.
- Parameters:
- data
pandas.DataFrame Tabular data as a pandas DataFrame.
- xkey in
data Variable that corresponds to the timestamp in
data.- ykey in
data Variable that corresponds to the pollutant of interest.
- ax
matplotlib.axes._axes.Axes, optional An axis to plot on; if not defined, one will be created, by default None
- ylimtuple of floats, optional
A tuple describing (ymin, ymax), by default None
- xlabelstr, optional
The label for the x-axis, by default None
- ylabelstr, optional
The label for the y-axis, by default None
- titlestr, optional
The title for the plot, by default None
- colorstr, optional
Specify the color to use in the figure
- shoq_iqrbool, optional
If True, plot the interquartile range as a shaded region, default True
- plot_kwsdict or None, optional
Additional keyword arguments are passed directly to the underlying plot call , by default None
- data
- Returns:
Examples
Plot a simple heatmap for the entire year.
>>> df = atmospy.load_dataset("us-bc") >>> atmospy.dielplot(data=df, x="Timestamp GMT", y="Sample Measurement")