metobs_toolkit.Dataset.make_plot#

Dataset.make_plot(stationnames=None, obstype='temp', colorby='name', starttime=None, endtime=None, title=None, y_label=None, legend=True, show_outliers=True, show_filled=True, _ax=None)[source]#

This function creates a timeseries plot for the dataset. The variable observation type is plotted for all stationnames from a starttime to an endtime.

All styling attributes are extracted from the Settings.

Parameters:

stationnames (list, optional) – A list with stationnames to include in the timeseries. If None is given, all the stations are used, defaults to None.
obstype (string, optional) – Fieldname to visualise. This can be an observation or station attribute. The default is ‘temp’.
colorby ('label' or 'name', optional) – Indicate how colors should be assigned to the lines. ‘label’ will color the lines by their quality control label. ‘name’ will color by each station, defaults to ‘name’.
starttime (datetime.datetime, optional) – Specifiy the start datetime for the plot. If None is given it will use the start datetime of the dataset, defaults to None.
endtime (datetime.datetime, optional) – Specifiy the end datetime for the plot. If None is given it will use the end datetime of the dataset, defaults to None.
title (string, optional) – Title of the figure, if None a default title is generated. The default is None.
y_label (string, optional) – y-axes label of the figure, if None a default label is generated. The default is None.
legend (bool, optional) – If True, a legend is added to the plot. The default is True.
show_outliers (bool, optional) – If true the observations labeld as outliers will be included in the plot. This is only true when colorby == ‘name’. The default is True.
show_filled (bool, optional) – If true the filled values for gaps and missing observations will be included in the plot. This is only true when colorby == ‘name’. The default is True.

Returns:

axis – The timeseries axes of the plot is returned.

Return type:

matplotlib.pyplot.axes

Note

If a timezone unaware datetime is given as an argument, it is interpreted as if it has the same timezone as the observations.

Examples

>>> import metobs_toolkit
>>>
>>> # Import data into a Dataset
>>> dataset = metobs_toolkit.Dataset()
>>> dataset.update_settings(
...                         input_data_file=metobs_toolkit.demo_datafile,
...                         input_metadata_file=metobs_toolkit.demo_metadatafile,
...                         template_file=metobs_toolkit.demo_template,
...                         )
>>> dataset.import_data_from_file()
>>>
>>> # Make plot
>>> dataset.make_plot(stationnames=['vlinder02', 'vlinder16'],
...                   obstype='temp',
...                   colorby='label')
<Axes: ...