diff --git a/daisy_vis/animate/__init__.py b/daisy_vis/animate/__init__.py
new file mode 100644
index 0000000..bcb0591
--- /dev/null
+++ b/daisy_vis/animate/__init__.py
@@ -0,0 +1,2 @@
+'''Functions for animating dlf data'''
+from .animate_depth_timeseries import *
diff --git a/daisy_vis/animate/animate_depth_timeseries.py b/daisy_vis/animate/animate_depth_timeseries.py
new file mode 100644
index 0000000..613f439
--- /dev/null
+++ b/daisy_vis/animate/animate_depth_timeseries.py
@@ -0,0 +1,60 @@
+# pylint: disable=missing-module-docstring
+import plotly.express as px
+from daisy_vis.transform import daisy_time_to_timestamp, depth_wide_to_long
+
+__all__ = [
+ 'animate_depth_timeseries'
+]
+
+def animate_depth_timeseries(var_name, dlf, *,
+ figsize=(1000,1000),
+ title=None,
+ var_lim=None,
+ depth_lim=None
+ ):
+ # pylint: disable=too-many-arguments
+ '''
+ Parameters
+ ----------
+ var_name : str
+
+ dlf : daisy_vis.io.dlf.Dlf
+
+ figsize : tuple of int, optional
+ (width, height) of figure in pixels
+
+ title : str, optional
+ Title of figure
+
+ var_lim : (float, float), optional
+ Limit of `var_name` values that are plotted. If None it is set to the data limit with a 10%
+ margin.
+
+ depth_lim : (float,float), optional
+ Limit of depth. If None it is set to the (lowest depth - 10, 10)
+
+ Returns
+ -------
+ plotly.graph_objs.Figure
+ '''
+ dlf = daisy_time_to_timestamp(dlf, 'time')
+ dlf = depth_wide_to_long(dlf, var_name, 'time', 'z')
+ if figsize is None:
+ width, height = None, None
+ else:
+ width, height = figsize
+ if var_lim is None:
+ var_min = dlf.body[var_name].min()
+ var_max = dlf.body[var_name].max()
+ var_lim = var_min - abs(var_min)*0.1, var_max + abs(var_max)*0.1
+ if depth_lim is None:
+ depth_lim = dlf.body['z'].min() - 10, 10
+ return px.scatter(dlf.body,
+ x=var_name,
+ y='z',
+ animation_frame='time',
+ title=title,
+ width=width,
+ height=height,
+ range_x=var_lim,
+ range_y=depth_lim,)
diff --git a/daisy_vis/animate/test/conftest.py b/daisy_vis/animate/test/conftest.py
new file mode 100644
index 0000000..54de240
--- /dev/null
+++ b/daisy_vis/animate/test/conftest.py
@@ -0,0 +1,18 @@
+'''Test data for tests in the amimate module'''
+import pytest
+from daisy_vis.io.dlf import read_dlf
+
+@pytest.fixture
+def depth_timeseries():
+ '''A depth time series'''
+ return read_dlf('test-data/daily/DailyP/DailyP-Daily-WaterFlux.dlf')
+
+@pytest.fixture
+def depth_timeseries_outdir():
+ '''Outdir for generated files'''
+ return 'test-data/animate/animate_depth_timeseries_actual'
+
+@pytest.fixture
+def depth_timeseries_expected_dir():
+ '''Outdir for reference files'''
+ return 'test-data/animate/animate_depth_timeseries_expected'
diff --git a/daisy_vis/animate/test/test_animate_depth_timeseries.py b/daisy_vis/animate/test/test_animate_depth_timeseries.py
new file mode 100644
index 0000000..7da30d8
--- /dev/null
+++ b/daisy_vis/animate/test/test_animate_depth_timeseries.py
@@ -0,0 +1,36 @@
+'''Test animate_depth_timeseries'''
+import os
+import filecmp
+import pytest
+import plotly
+from daisy_vis.animate import animate_depth_timeseries
+
+@pytest.mark.filterwarnings(r'ignore:setDaemon\(\) is deprecated, set the daemon attribute instead')
+def test_png_rendering_is_the_same(depth_timeseries,
+ depth_timeseries_outdir,
+ depth_timeseries_expected_dir):
+ '''Save animated timeseries as a series of png files and compare with an existing reference'''
+ os.makedirs(depth_timeseries_outdir, exist_ok=True)
+ fig = animate_depth_timeseries('q', depth_timeseries)
+ actual_files = set()
+ for frame in range(len(fig.frames)):
+ fig.layout['sliders'][0]['active'] = frame
+ fig = plotly.graph_objects.Figure(data=fig['frames'][frame]['data'],
+ frames=fig['frames'],
+ layout=fig.layout)
+ fname = f'frame-{frame:02d}.png'
+ fig.write_image(os.path.join(depth_timeseries_outdir, fname))
+ actual_files.add(fname)
+
+ expected_files = {
+ entry.name for entry in os.scandir(depth_timeseries_expected_dir) if entry.is_file()
+ }
+ assert actual_files <= expected_files <= actual_files
+
+ match, mismatch, errors = filecmp.cmpfiles(depth_timeseries_outdir,
+ depth_timeseries_expected_dir,
+ expected_files,
+ shallow=False)
+ assert len(match) == len(expected_files)
+ assert len(mismatch) == 0
+ assert len(errors) == 0
diff --git a/doc/README.md b/doc/README.md
index 295b5cd..25a8d2e 100644
--- a/doc/README.md
+++ b/doc/README.md
@@ -8,3 +8,8 @@
* [Plot annual values](plot/plot_annual_values.py). Also available as a [jupyter notebook](plot/plot_annual_values.ipynb) [](https://mybinder.org/v2/gh/daisy-model/daisy-vis/main?labpath=doc%2Fplot%2Fplot_annual_values.ipynb)
* [Plot daily values](plot/plot_daily_values.py). Also available as a [jupyter notebook](plot/plot_daily_values.ipynb) [](https://mybinder.org/v2/gh/daisy-model/daisy-vis/main?labpath=doc%2Fplot%2Fplot_daily_values.ipynb)
+
+## Animation
+Requires plotly and dash (for running outside a notebook)
+
+ * [Annimate depth dependent time series](animate/animate_depth_dependent.py). Also available as a [jupyter notebook](animate/animate_depth_dependent.py)
diff --git a/doc/animate/animate_depth_dependent.ipynb b/doc/animate/animate_depth_dependent.ipynb
new file mode 100644
index 0000000..b33b102
--- /dev/null
+++ b/doc/animate/animate_depth_dependent.ipynb
@@ -0,0 +1,3934 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "79469281-d863-4d3f-8d96-a6a208058a71",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from daisy_vis.io.dlf import read_dlf\n",
+ "from daisy_vis.animate import animate_depth_timeseries"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "0b3a4d94-3c59-480c-9abf-3cd09d60d5b9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def animate():\n",
+ " path = '../../test-data/daily/DailyP/DailyP-Daily-WaterFlux.dlf'\n",
+ " dlf = read_dlf(path)\n",
+ " var_name = 'q'\n",
+ " fig = animate_depth_timeseries(var_name, dlf)\n",
+ " return fig"
+ ]
+ },
+ {
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",
+ "text/html": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "animate()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "eed280fc-5019-4979-b5ca-613ed7987500",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/doc/animate/animate_depth_dependent.py b/doc/animate/animate_depth_dependent.py
new file mode 100644
index 0000000..2f1aaa1
--- /dev/null
+++ b/doc/animate/animate_depth_dependent.py
@@ -0,0 +1,30 @@
+'''Animate daily waterflux'''
+import os
+import sys
+from dash import Dash, dcc, html
+from daisy_vis.io.dlf import read_dlf
+from daisy_vis.animate import animate_depth_timeseries
+
+def main():
+ '''Run as `python `'''
+ dirname = os.path.dirname(os.path.realpath(sys.argv[0]))
+ path = os.path.join(
+ dirname, '..', '..', 'test-data', 'daily', 'DailyP', 'DailyP-Daily-WaterFlux.dlf'
+ )
+ dlf = read_dlf(path)
+ var_name = 'q'
+ fig = animate_depth_timeseries(var_name, dlf)
+
+ app = Dash(__name__)
+ app.layout = html.Div(children=[
+ html.H1(children='DailyP'),
+ html.Div(children='Daily logged waterflux'),
+ dcc.Graph(
+ id='daily-waterflux',
+ figure=fig
+ )
+ ])
+ app.run(debug=True)
+
+if __name__ == '__main__':
+ main()
diff --git a/requirements.txt b/requirements.txt
index 5d56fdd..8e983bb 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,2 +1,4 @@
pandas
matplotlib
+plotly
+dash
diff --git a/requirements_test.txt b/requirements_test.txt
index 8d4d82c..923ae04 100644
--- a/requirements_test.txt
+++ b/requirements_test.txt
@@ -1,2 +1,3 @@
pytest
pytest-mpl
+kaleido
diff --git a/setup.cfg b/setup.cfg
index 610b930..a756075 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -26,6 +26,8 @@ platforms = any
install_requires =
pandas
matplotlib
+ plotly
+ dash
packages = find_namespace:
package_dir =
=.
diff --git a/test-data/animate/.gitignore b/test-data/animate/.gitignore
new file mode 100644
index 0000000..d0b228c
--- /dev/null
+++ b/test-data/animate/.gitignore
@@ -0,0 +1 @@
+animate_depth_timeseries_actual
\ No newline at end of file
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