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.io.source_base.BasicSource.read_ts 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.

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.sources['MODIS_LST'].read_ts(1632)

# Plot time series
ts.plot()
plt.show()

And this is how the result will look like:

_images/read_ts_austria.png

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