Reading and plotting time seriesΒΆ

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:

_images/read_ts_austria.png

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.

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