From 608213a3a122d05e678151b46538b5d7bd672b24 Mon Sep 17 00:00:00 2001 From: Ryan Murray <74630349+rywm-dhi@users.noreply.github.com> Date: Fri, 6 Sep 2024 09:47:48 +0200 Subject: [PATCH] Update custom derived quantity notebook --- notebooks/custom_derived_quantities.ipynb | 434 ++++++++++++++++++++-- 1 file changed, 412 insertions(+), 22 deletions(-) diff --git a/notebooks/custom_derived_quantities.ipynb b/notebooks/custom_derived_quantities.ipynb index 053de8d3..90ec45e1 100644 --- a/notebooks/custom_derived_quantities.ipynb +++ b/notebooks/custom_derived_quantities.ipynb @@ -17,9 +17,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Let's open a Res1D file.\n", "from mikeio1d import Res1D\n", @@ -29,9 +40,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# We will make a derived quantity that detects instabilities in discharge. Let's first read the discharge at a sample point.\n", "res.nodes['1'].WaterLevel.plot()" @@ -39,9 +71,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# We'll use a simple approach of taking the rolling standard deviation as an indicator of instability.\n", "df = res.nodes['1'].WaterLevel.read()\n", @@ -50,9 +103,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'WaterLevel:Weir Outlet:119w1'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Let's find the node with the highest instability per out definition.\n", "(\n", @@ -66,9 +130,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Let's plot the node found to have the highest instability. Indeed, we found something fishy.\n", "res.nodes['Weir Outlet:119w1'].WaterLevel.plot()" @@ -83,7 +168,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -94,7 +179,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -115,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -133,9 +218,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# We need to reload our result file.\n", "res = Res1D(\"../tests/testdata/network.res1d\")\n", @@ -144,9 +240,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "<Outlet: Weir Outlet:119w1>\n", + " \n", + "
Attributes (4)
  • id: Weir Outlet:119w1
  • type: Outlet
  • xcoord: -687941.8002929688
  • ycoord: -1056652.400024414
Quantities (1)
  • WaterLevel
Derived Quantities (3)
  • NodeFlooding
  • NodeWaterDepth
  • NodeWaterLevelInstability
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Let's check out the node we know to be instable. Notice our new derived quantity is listed in the repr below.\n", "instable_node = res.nodes['Weir Outlet:119w1']\n", @@ -155,9 +273,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Let's plot the derived quantity. It looks reasonable.\n", "instable_node.NodeWaterLevelInstability.plot(legend=False)" @@ -165,9 +304,260 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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quantityNodeWaterLevelInstability
groupNode
name12345678910...465558116117118115119120Weir Outlet:119w1
derivedTrueTrueTrueTrueTrueTrueTrueTrueTrueTrue...TrueTrueTrueTrueTrueTrueTrueTrueTrueTrue
1994-08-07 16:35:00.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1994-08-07 16:36:01.870NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1994-08-07 16:37:07.5600.00.0001020.00.00.00.0003360.0001880.0000540.0002710.0...0.00.00.0000470.0000540.0007130.0015990.0010760.0000180.03.059958
1994-08-07 16:38:55.8280.00.0001020.00.00.00.0004620.0003220.0000870.0004830.0...0.00.00.0000850.0000460.0005650.0014500.0014240.0000380.00.000000
1994-08-07 16:39:55.8280.00.0000790.00.00.00.0004480.0002950.0001150.0004280.0...0.00.00.0000920.0000320.0003610.0010920.0013760.0000320.00.000000
\n", + "

5 rows × 119 columns

\n", + "
" + ], + "text/plain": [ + "quantity NodeWaterLevelInstability \\\n", + "group Node \n", + "name 1 2 3 4 5 \n", + "derived True True True True True \n", + "1994-08-07 16:35:00.000 NaN NaN NaN NaN NaN \n", + "1994-08-07 16:36:01.870 NaN NaN NaN NaN NaN \n", + "1994-08-07 16:37:07.560 0.0 0.000102 0.0 0.0 0.0 \n", + "1994-08-07 16:38:55.828 0.0 0.000102 0.0 0.0 0.0 \n", + "1994-08-07 16:39:55.828 0.0 0.000079 0.0 0.0 0.0 \n", + "\n", + "quantity ... \\\n", + "group ... \n", + "name 6 7 8 9 10 ... \n", + "derived True True True True True ... \n", + "1994-08-07 16:35:00.000 NaN NaN NaN NaN NaN ... \n", + "1994-08-07 16:36:01.870 NaN NaN NaN NaN NaN ... \n", + "1994-08-07 16:37:07.560 0.000336 0.000188 0.000054 0.000271 0.0 ... \n", + "1994-08-07 16:38:55.828 0.000462 0.000322 0.000087 0.000483 0.0 ... \n", + "1994-08-07 16:39:55.828 0.000448 0.000295 0.000115 0.000428 0.0 ... \n", + "\n", + "quantity \\\n", + "group \n", + "name 46 55 58 116 117 118 \n", + "derived True True True True True True \n", + "1994-08-07 16:35:00.000 NaN NaN NaN NaN NaN NaN \n", + "1994-08-07 16:36:01.870 NaN NaN NaN NaN NaN NaN \n", + "1994-08-07 16:37:07.560 0.0 0.0 0.000047 0.000054 0.000713 0.001599 \n", + "1994-08-07 16:38:55.828 0.0 0.0 0.000085 0.000046 0.000565 0.001450 \n", + "1994-08-07 16:39:55.828 0.0 0.0 0.000092 0.000032 0.000361 0.001092 \n", + "\n", + "quantity \n", + "group \n", + "name 115 119 120 Weir Outlet:119w1 \n", + "derived True True True True \n", + "1994-08-07 16:35:00.000 NaN NaN NaN NaN \n", + "1994-08-07 16:36:01.870 NaN NaN NaN NaN \n", + "1994-08-07 16:37:07.560 0.001076 0.000018 0.0 3.059958 \n", + "1994-08-07 16:38:55.828 0.001424 0.000038 0.0 0.000000 \n", + "1994-08-07 16:39:55.828 0.001376 0.000032 0.0 0.000000 \n", + "\n", + "[5 rows x 119 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Let's read the derived quantity for all nodes.\n", "res.nodes.NodeWaterLevelInstability.read().head(5)" @@ -190,7 +580,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.1" + "version": "3.12.5" } }, "nbformat": 4,