This example shows how to read and plot time series data from the resampled NetCDF file. It presumes that we already set up a Poet class and added the source MODIS_LST as given in `Setting up a Poet base class`_. For plotting, we will use Matplotlib.
Reading the image can be done with the poets.poet.Poet.read_timeseries method. You can read time series only for gridpoints given in the defined region(s). To get a list of available gridpoints, you can call poets.poet.Poet.get_gridpoints. It is also possible to call the read_timeseries function with longitude/latitude values. In this case the location parameter must be given as tuple
In[10]:
import matplotlib.pyplot as plt
# Get a list of valid gridpoints
gridpoints = p.get_gridpoints()
# Reading the time series for point 1632
ts = p.read_timeseries(1632, 'MODIS_LST')
# Reading the time series with given lon/lat values:
ts = p.read_timeseries((15.391416550, 48.497042624), 'MODIS_LST')
# Plot time series
ts.plot()
plt.show()
And this is how the result will look like:
If poets is set up for multiple regions and/or the defined source has multiple variables, the parameters region and variable must be set. See poets.poet.Poet.read_timeseries for more information.