.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples_gallery/output/storages.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_examples_gallery_output_storages.py: Storage examples ================ This example shows how to use :mod:`~pde.storage` to store data persistently. .. GENERATED FROM PYTHON SOURCE LINES 7-29 .. image-sg:: /examples_gallery/output/images/sphx_glr_storages_001.png :alt: storages :srcset: /examples_gallery/output/images/sphx_glr_storages_001.png :class: sphx-glr-single-img .. code-block:: Python from pde import AllenCahnPDE, FileStorage, MovieStorage, ScalarField, UnitGrid # initialize the model state = ScalarField.random_uniform(UnitGrid([128, 128]), -0.01, 0.01) eq = AllenCahnPDE() # initialize empty storages file_write = FileStorage("allen_cahn.hdf") movie_write = MovieStorage("allen_cahn.avi", vmin=-1, vmax=1) # store trajectory in storage final_state = eq.solve( state, t_range=100, adaptive=True, tracker=[file_write.tracker(2), movie_write.tracker(1)], ) # read storage and plot last frame movie_read = MovieStorage("allen_cahn.avi") movie_read[-1].plot() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 4.438 seconds) .. _sphx_glr_download_examples_gallery_output_storages.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: storages.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: storages.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: storages.zip `