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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Basic event statistics\n", | |
| "\n", | |
| "We have a set of timeseries from multiple models, and we'd like to compute some basic statistics on where the values exceed some threshold" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy\n", | |
| "import xarray\n", | |
| "import pandas" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Sample data\n", | |
| "\n", | |
| "Some random data as a sample, we have dimensions of 'model' and 'time'" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray (model: 5, time: 10)>\n", | |
| "array([[-0.32756177, -0.26286746, 0.40030123, 0.35854755, 0.43113588,\n", | |
| " 0.19164228, -0.24890014, -0.16822426, 0.0288118 , 0.30851645],\n", | |
| " [ 0.02352896, 0.01700063, 0.40107743, 0.09688021, -0.34731748,\n", | |
| " 0.33646959, -0.22218415, 0.00075536, 0.41923523, 0.46450296],\n", | |
| " [-0.36606797, 0.13691949, -0.24407689, 0.26593951, -0.36044558,\n", | |
| " -0.09755949, 0.23047747, -0.30123992, 0.49773007, -0.48146704],\n", | |
| " [-0.28529412, -0.4137749 , -0.49678032, -0.20963922, -0.37296851,\n", | |
| " 0.32198888, -0.48008865, -0.35185213, -0.19133728, 0.48969387],\n", | |
| " [ 0.35537076, -0.34188436, -0.46208259, 0.41417063, -0.07029039,\n", | |
| " -0.39533084, 0.21379516, -0.18512164, -0.43433092, -0.29407475]])\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 2001-01-01 2001-02-01 ... 2001-10-01\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li><li><span class='xr-has-index'>time</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0c8f1be6-9563-4a91-9f8f-afeb3d8c051a' class='xr-array-in' type='checkbox' checked><label for='section-0c8f1be6-9563-4a91-9f8f-afeb3d8c051a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.3276 -0.2629 0.4003 0.3585 ... 0.2138 -0.1851 -0.4343 -0.2941</span></div><div class='xr-array-data'><pre>array([[-0.32756177, -0.26286746, 0.40030123, 0.35854755, 0.43113588,\n", | |
| " 0.19164228, -0.24890014, -0.16822426, 0.0288118 , 0.30851645],\n", | |
| " [ 0.02352896, 0.01700063, 0.40107743, 0.09688021, -0.34731748,\n", | |
| " 0.33646959, -0.22218415, 0.00075536, 0.41923523, 0.46450296],\n", | |
| " [-0.36606797, 0.13691949, -0.24407689, 0.26593951, -0.36044558,\n", | |
| " -0.09755949, 0.23047747, -0.30123992, 0.49773007, -0.48146704],\n", | |
| " [-0.28529412, -0.4137749 , -0.49678032, -0.20963922, -0.37296851,\n", | |
| " 0.32198888, -0.48008865, -0.35185213, -0.19133728, 0.48969387],\n", | |
| " [ 0.35537076, -0.34188436, -0.46208259, 0.41417063, -0.07029039,\n", | |
| " -0.39533084, 0.21379516, -0.18512164, -0.43433092, -0.29407475]])</pre></div></div></li><li class='xr-section-item'><input id='section-b1e79065-f0fa-406b-b8b6-a0dfe636f54e' class='xr-section-summary-in' type='checkbox' checked><label for='section-b1e79065-f0fa-406b-b8b6-a0dfe636f54e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-01 ... 2001-10-01</div><input id='attrs-ca77251b-7f13-4722-8622-b16737ba8270' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca77251b-7f13-4722-8622-b16737ba8270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecf37ffb-98f9-4133-9670-40680864e943' class='xr-var-data-in' type='checkbox'><label for='data-ecf37ffb-98f9-4133-9670-40680864e943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['2001-01-01T00:00:00.000000000', '2001-02-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000', '2001-04-01T00:00:00.000000000',\n", | |
| " '2001-05-01T00:00:00.000000000', '2001-06-01T00:00:00.000000000',\n", | |
| " '2001-07-01T00:00:00.000000000', '2001-08-01T00:00:00.000000000',\n", | |
| " '2001-09-01T00:00:00.000000000', '2001-10-01T00:00:00.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-b4c28bd5-92f9-4812-b53b-9955755228fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4c28bd5-92f9-4812-b53b-9955755228fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04eca9f3-8dfd-451a-9c45-3001036cc179' class='xr-var-data-in' type='checkbox'><label for='data-04eca9f3-8dfd-451a-9c45-3001036cc179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7eb5308a-e62a-47a3-b15f-a15d200684bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7eb5308a-e62a-47a3-b15f-a15d200684bc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
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| "<xarray.DataArray (model: 5, time: 10)>\n", | |
| "array([[-0.32756177, -0.26286746, 0.40030123, 0.35854755, 0.43113588,\n", | |
| " 0.19164228, -0.24890014, -0.16822426, 0.0288118 , 0.30851645],\n", | |
| " [ 0.02352896, 0.01700063, 0.40107743, 0.09688021, -0.34731748,\n", | |
| " 0.33646959, -0.22218415, 0.00075536, 0.41923523, 0.46450296],\n", | |
| " [-0.36606797, 0.13691949, -0.24407689, 0.26593951, -0.36044558,\n", | |
| " -0.09755949, 0.23047747, -0.30123992, 0.49773007, -0.48146704],\n", | |
| " [-0.28529412, -0.4137749 , -0.49678032, -0.20963922, -0.37296851,\n", | |
| " 0.32198888, -0.48008865, -0.35185213, -0.19133728, 0.48969387],\n", | |
| " [ 0.35537076, -0.34188436, -0.46208259, 0.41417063, -0.07029039,\n", | |
| " -0.39533084, 0.21379516, -0.18512164, -0.43433092, -0.29407475]])\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 2001-01-01 2001-02-01 ... 2001-10-01\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "da = xarray.DataArray(numpy.random.random((5,10))-0.5, dims=['model','time'])\n", | |
| "da['time'] = pandas.date_range('20010101', periods=da.sizes['time'], freq='MS')\n", | |
| "da['model'] = ['A','B','C','D','E']\n", | |
| "da" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Count below threshold for each model\n", | |
| "\n", | |
| "First select only the values below our threshold, then get the count of unmasked values along the time dimension" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
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| "array([4, 2, 6, 8, 7])\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2047bc1c-b295-4de3-ad02-b3f5fe74acb1' class='xr-array-in' type='checkbox' checked><label for='section-2047bc1c-b295-4de3-ad02-b3f5fe74acb1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4 2 6 8 7</span></div><div class='xr-array-data'><pre>array([4, 2, 6, 8, 7])</pre></div></div></li><li class='xr-section-item'><input id='section-28a97e71-b2ff-4e7f-818f-9249ab61d3db' class='xr-section-summary-in' type='checkbox' checked><label for='section-28a97e71-b2ff-4e7f-818f-9249ab61d3db' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-39b21ec9-3e11-407b-b0d4-cc3f21ee824c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39b21ec9-3e11-407b-b0d4-cc3f21ee824c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ef139fd-6ef0-4cc0-b4ad-ecd7b817921e' class='xr-var-data-in' type='checkbox'><label for='data-5ef139fd-6ef0-4cc0-b4ad-ecd7b817921e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-243abb52-788f-48a9-be34-37f29b2750ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-243abb52-788f-48a9-be34-37f29b2750ae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray (model: 5)>\n", | |
| "array([4, 2, 6, 8, 7])\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "da.where(da < 0).count('time')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Minimum values for each model\n", | |
| "\n", | |
| "The same idea, this time using 'min' instead of 'count'" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray (model: 5)>\n", | |
| "array([-0.32756177, -0.34731748, -0.48146704, -0.49678032, -0.46208259])\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3563571d-75be-4594-ab75-2a4c6e26d44b' class='xr-array-in' type='checkbox' checked><label for='section-3563571d-75be-4594-ab75-2a4c6e26d44b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.3276 -0.3473 -0.4815 -0.4968 -0.4621</span></div><div class='xr-array-data'><pre>array([-0.32756177, -0.34731748, -0.48146704, -0.49678032, -0.46208259])</pre></div></div></li><li class='xr-section-item'><input id='section-d35289c4-58ce-4a97-8b03-ca2ddc55a862' class='xr-section-summary-in' type='checkbox' checked><label for='section-d35289c4-58ce-4a97-8b03-ca2ddc55a862' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-a4531771-869d-4157-affd-dba29a3f1275' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4531771-869d-4157-affd-dba29a3f1275' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e53c7a0b-0473-4457-a66b-46a5c902a80b' class='xr-var-data-in' type='checkbox'><label for='data-e53c7a0b-0473-4457-a66b-46a5c902a80b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53649d7e-5d60-4bfe-b76d-3d630daf9495' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-53649d7e-5d60-4bfe-b76d-3d630daf9495' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
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| "<xarray.DataArray (model: 5)>\n", | |
| "array([-0.32756177, -0.34731748, -0.48146704, -0.49678032, -0.46208259])\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "da.where(da < 0).min('time')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Date of minimum value for each model\n", | |
| "\n", | |
| "Start off by finding the index of the minimum value - argmin." | |
| ] | |
| }, | |
| { | |
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| "array([0, 4, 9, 2, 2])\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c0b3041a-2651-4414-8b5c-d9cbcbaaac08' class='xr-array-in' type='checkbox' checked><label for='section-c0b3041a-2651-4414-8b5c-d9cbcbaaac08' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 4 9 2 2</span></div><div class='xr-array-data'><pre>array([0, 4, 9, 2, 2])</pre></div></div></li><li class='xr-section-item'><input id='section-68dc93a2-c53a-4818-91e3-8f320c337048' class='xr-section-summary-in' type='checkbox' checked><label for='section-68dc93a2-c53a-4818-91e3-8f320c337048' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-b71fe001-d04f-40fd-ba77-951df13875a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b71fe001-d04f-40fd-ba77-951df13875a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a2081ea-f03f-44b8-93a3-af28bb333127' class='xr-var-data-in' type='checkbox'><label for='data-0a2081ea-f03f-44b8-93a3-af28bb333127' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ffb53cff-4934-4f3d-99b6-bef7331a2dfa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ffb53cff-4934-4f3d-99b6-bef7331a2dfa' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
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| "<xarray.DataArray (model: 5)>\n", | |
| "array([0, 4, 9, 2, 2])\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'" | |
| ] | |
| }, | |
| "execution_count": 5, | |
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| "min_index = da.where(da < 0).argmin('time')\n", | |
| "min_index" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
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| "These indices can be converted to time values all at once by using `min_index` as an array index" | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'time' (model: 5)>\n", | |
| "array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')\n", | |
| "Coordinates:\n", | |
| " time (model) datetime64[ns] 2001-01-01 2001-05-01 ... 2001-03-01\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-37485070-97b0-4488-9547-d34f876782e0' class='xr-array-in' type='checkbox' checked><label for='section-37485070-97b0-4488-9547-d34f876782e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2001-01-01 2001-05-01 2001-10-01 2001-03-01 2001-03-01</span></div><div class='xr-array-data'><pre>array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')</pre></div></div></li><li class='xr-section-item'><input id='section-9eb2bb74-e0eb-4f1e-96b1-3257038c2954' class='xr-section-summary-in' type='checkbox' checked><label for='section-9eb2bb74-e0eb-4f1e-96b1-3257038c2954' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-01 ... 2001-03-01</div><input id='attrs-8c748f01-1103-455f-93da-3336e32ad2c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c748f01-1103-455f-93da-3336e32ad2c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c5357d7-7e5d-4f21-a1d8-a53a1abfdac7' class='xr-var-data-in' type='checkbox'><label for='data-8c5357d7-7e5d-4f21-a1d8-a53a1abfdac7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-7986c542-4df0-4b93-be50-049322d542d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7986c542-4df0-4b93-be50-049322d542d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aace009-59db-4213-a053-91cb521078e3' class='xr-var-data-in' type='checkbox'><label for='data-7aace009-59db-4213-a053-91cb521078e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-356393d9-d674-43e4-8216-040d826eda26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-356393d9-d674-43e4-8216-040d826eda26' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
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| "<xarray.DataArray 'time' (model: 5)>\n", | |
| "array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')\n", | |
| "Coordinates:\n", | |
| " time (model) datetime64[ns] 2001-01-01 2001-05-01 ... 2001-03-01\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
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| } | |
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| "da.time[min_index]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "There's a \"ghost\" time axis in the result which might cause problems, let's get rid of it. Our returned values aren't time dependent" | |
| ] | |
| }, | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'time' (model: 5)>\n", | |
| "array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5d00f21f-779d-4920-a494-6addc4eb5772' class='xr-array-in' type='checkbox' checked><label for='section-5d00f21f-779d-4920-a494-6addc4eb5772' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2001-01-01 2001-05-01 2001-10-01 2001-03-01 2001-03-01</span></div><div class='xr-array-data'><pre>array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')</pre></div></div></li><li class='xr-section-item'><input id='section-5050fbb6-43af-4088-aa86-f47e5f38de8b' class='xr-section-summary-in' type='checkbox' checked><label for='section-5050fbb6-43af-4088-aa86-f47e5f38de8b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-69e5a5c8-1fee-4f03-bd61-e85b59051505' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69e5a5c8-1fee-4f03-bd61-e85b59051505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3922f0ed-b730-4ff4-9934-997b1c49a866' class='xr-var-data-in' type='checkbox'><label for='data-3922f0ed-b730-4ff4-9934-997b1c49a866' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7575f59-dd70-4c04-81c3-1cd288eb184b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7575f59-dd70-4c04-81c3-1cd288eb184b' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray 'time' (model: 5)>\n", | |
| "array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "da.time[min_index].drop('time')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Putting it together\n", | |
| "\n", | |
| "It could be helpful to put all of the results into a single dataset" | |
| ] | |
| }, | |
| { | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (model: 5)\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'\n", | |
| "Data variables:\n", | |
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| " min (model) float64 -0.3276 -0.3473 -0.4815 -0.4968 -0.4621\n", | |
| " min_date (model) datetime64[ns] 2001-01-01 2001-05-01 ... 2001-03-01</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-18c75125-73a6-4396-9d5b-aaaa6ab8b3e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-18c75125-73a6-4396-9d5b-aaaa6ab8b3e2' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7d0fc85e-6f5e-447c-a7b6-41a6f91365ee' class='xr-section-summary-in' type='checkbox' checked><label for='section-7d0fc85e-6f5e-447c-a7b6-41a6f91365ee' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A' 'B' 'C' 'D' 'E'</div><input id='attrs-81dea7b3-58a0-42dd-a7a4-a8a005d47ad1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81dea7b3-58a0-42dd-a7a4-a8a005d47ad1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e68b412-a8bb-4c92-ae96-3323be9a2f81' class='xr-var-data-in' type='checkbox'><label for='data-8e68b412-a8bb-4c92-ae96-3323be9a2f81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['A', 'B', 'C', 'D', 'E'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cdfdb12e-2056-4d8b-9bed-42ebe843c28a' class='xr-section-summary-in' type='checkbox' checked><label for='section-cdfdb12e-2056-4d8b-9bed-42ebe843c28a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>count</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4 2 6 8 7</div><input id='attrs-42af9b69-dbf6-47ff-9c01-fd16c425b580' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42af9b69-dbf6-47ff-9c01-fd16c425b580' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d0f050e-473f-4e4d-aa93-183bfeb9dc1c' class='xr-var-data-in' type='checkbox'><label for='data-7d0f050e-473f-4e4d-aa93-183bfeb9dc1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4, 2, 6, 8, 7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.3276 -0.3473 ... -0.4968 -0.4621</div><input id='attrs-c8075b88-8d41-457d-84e9-cabb55c73d80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8075b88-8d41-457d-84e9-cabb55c73d80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08ba311e-8fae-48d4-8c44-af39ac5f5029' class='xr-var-data-in' type='checkbox'><label for='data-08ba311e-8fae-48d4-8c44-af39ac5f5029' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-0.32756177, -0.34731748, -0.48146704, -0.49678032, -0.46208259])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_date</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-01 ... 2001-03-01</div><input id='attrs-f22f1732-a4d0-4020-90e1-644dc15a240c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f22f1732-a4d0-4020-90e1-644dc15a240c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d66ca02-be4d-4535-bf5f-a6bd811f5a24' class='xr-var-data-in' type='checkbox'><label for='data-1d66ca02-be4d-4535-bf5f-a6bd811f5a24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['2001-01-01T00:00:00.000000000', '2001-05-01T00:00:00.000000000',\n", | |
| " '2001-10-01T00:00:00.000000000', '2001-03-01T00:00:00.000000000',\n", | |
| " '2001-03-01T00:00:00.000000000'], dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55bded44-0d23-4563-a55c-311c12c82db5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-55bded44-0d23-4563-a55c-311c12c82db5' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (model: 5)\n", | |
| "Coordinates:\n", | |
| " * model (model) <U1 'A' 'B' 'C' 'D' 'E'\n", | |
| "Data variables:\n", | |
| " count (model) int64 4 2 6 8 7\n", | |
| " min (model) float64 -0.3276 -0.3473 -0.4815 -0.4968 -0.4621\n", | |
| " min_date (model) datetime64[ns] 2001-01-01 2001-05-01 ... 2001-03-01" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "event_stats = xarray.Dataset({\n", | |
| " 'count': da.where(da < 0).count('time'),\n", | |
| " 'min': da.where(da < 0).min('time'),\n", | |
| " 'min_date': da.time[min_index].drop('time'),\n", | |
| "})\n", | |
| "\n", | |
| "event_stats" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "That way you can e.g. get all the values for a specific model" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
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| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt, dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: ()\n", | |
| "Coordinates:\n", | |
| " model <U1 'A'\n", | |
| "Data variables:\n", | |
| " count int64 4\n", | |
| " min float64 -0.3276\n", | |
| " min_date datetime64[ns] 2001-01-01</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2d5d48ae-c5b8-454d-b3cf-7ed409808570' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d5d48ae-c5b8-454d-b3cf-7ed409808570' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e034276c-4789-4c9e-a21c-64df11464750' class='xr-section-summary-in' type='checkbox' checked><label for='section-e034276c-4789-4c9e-a21c-64df11464750' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>model</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'A'</div><input id='attrs-e5ca41e6-25b9-41f2-93d2-b2342baf34a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5ca41e6-25b9-41f2-93d2-b2342baf34a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90574171-96ca-4e9a-ab7e-7aaa397768cb' class='xr-var-data-in' type='checkbox'><label for='data-90574171-96ca-4e9a-ab7e-7aaa397768cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array('A', dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e01665d-b8de-45b6-9067-3598fb0be30b' class='xr-section-summary-in' type='checkbox' checked><label for='section-9e01665d-b8de-45b6-9067-3598fb0be30b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>count</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4</div><input id='attrs-73a2cf4f-b312-4499-8f23-0927539e05d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73a2cf4f-b312-4499-8f23-0927539e05d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cc91737-2484-4160-aa4b-384ee3377bc8' class='xr-var-data-in' type='checkbox'><label for='data-1cc91737-2484-4160-aa4b-384ee3377bc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.3276</div><input id='attrs-b18f9a1f-0c9b-454b-a9d7-b938dc491b05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b18f9a1f-0c9b-454b-a9d7-b938dc491b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94aa7576-551c-46a3-8e6e-abe0e269108c' class='xr-var-data-in' type='checkbox'><label for='data-94aa7576-551c-46a3-8e6e-abe0e269108c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-0.32756177)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_date</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-01</div><input id='attrs-ea651f18-35a8-4539-8107-3aa3b8f51fb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea651f18-35a8-4539-8107-3aa3b8f51fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2060f667-0891-47ba-b7f0-6ae0181488fa' class='xr-var-data-in' type='checkbox'><label for='data-2060f667-0891-47ba-b7f0-6ae0181488fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array('2001-01-01T00:00:00.000000000', dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47da626b-fff5-4186-b449-05b07c393ab3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47da626b-fff5-4186-b449-05b07c393ab3' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" | |
| ], | |
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| "<xarray.Dataset>\n", | |
| "Dimensions: ()\n", | |
| "Coordinates:\n", | |
| " model <U1 'A'\n", | |
| "Data variables:\n", | |
| " count int64 4\n", | |
| " min float64 -0.3276\n", | |
| " min_date datetime64[ns] 2001-01-01" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "event_stats.sel(model='A')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Climtas event detection\n", | |
| "\n", | |
| "The climtas library has some functions for event detection - it will find runs where a condition is true for multiple times, then let you run a function to calculate statistics for each event" | |
| ] | |
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| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
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| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>time</th>\n", | |
| " <th>model</th>\n", | |
| " <th>event_duration</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>1</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>4</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>4</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>6</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>6</td>\n", | |
| " <td>3</td>\n", | |
| " <td>3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>7</td>\n", | |
| " <td>4</td>\n", | |
| " <td>3</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " time model event_duration\n", | |
| "0 0 0 2\n", | |
| "1 1 4 2\n", | |
| "2 0 3 5\n", | |
| "3 4 2 2\n", | |
| "4 4 4 2\n", | |
| "5 6 0 2\n", | |
| "6 6 3 3\n", | |
| "7 7 4 3" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import climtas\n", | |
| "\n", | |
| "events = climtas.event.find_events(da < 0, min_duration=2)\n", | |
| "events" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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| "<div>\n", | |
| "<style scoped>\n", | |
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| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>model</th>\n", | |
| " <th>time</th>\n", | |
| " <th>event_duration</th>\n", | |
| " <th>min</th>\n", | |
| " <th>min_date</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>A</td>\n", | |
| " <td>2001-01-01</td>\n", | |
| " <td>31 days</td>\n", | |
| " <td>-0.32756177046349233</td>\n", | |
| " <td>2001-01-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>E</td>\n", | |
| " <td>2001-02-01</td>\n", | |
| " <td>28 days</td>\n", | |
| " <td>-0.4620825909697166</td>\n", | |
| " <td>2001-03-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>D</td>\n", | |
| " <td>2001-01-01</td>\n", | |
| " <td>120 days</td>\n", | |
| " <td>-0.49678032011641426</td>\n", | |
| " <td>2001-03-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>C</td>\n", | |
| " <td>2001-05-01</td>\n", | |
| " <td>31 days</td>\n", | |
| " <td>-0.36044557563610247</td>\n", | |
| " <td>2001-05-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>E</td>\n", | |
| " <td>2001-05-01</td>\n", | |
| " <td>31 days</td>\n", | |
| " <td>-0.395330843938117</td>\n", | |
| " <td>2001-06-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>A</td>\n", | |
| " <td>2001-07-01</td>\n", | |
| " <td>31 days</td>\n", | |
| " <td>-0.2489001360755888</td>\n", | |
| " <td>2001-07-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>D</td>\n", | |
| " <td>2001-07-01</td>\n", | |
| " <td>62 days</td>\n", | |
| " <td>-0.48008864559888853</td>\n", | |
| " <td>2001-07-01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>E</td>\n", | |
| " <td>2001-08-01</td>\n", | |
| " <td>61 days</td>\n", | |
| " <td>-0.4343309190867375</td>\n", | |
| " <td>2001-09-01</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " model time event_duration min min_date\n", | |
| "0 A 2001-01-01 31 days -0.32756177046349233 2001-01-01\n", | |
| "1 E 2001-02-01 28 days -0.4620825909697166 2001-03-01\n", | |
| "2 D 2001-01-01 120 days -0.49678032011641426 2001-03-01\n", | |
| "3 C 2001-05-01 31 days -0.36044557563610247 2001-05-01\n", | |
| "4 E 2001-05-01 31 days -0.395330843938117 2001-06-01\n", | |
| "5 A 2001-07-01 31 days -0.2489001360755888 2001-07-01\n", | |
| "6 D 2001-07-01 62 days -0.48008864559888853 2001-07-01\n", | |
| "7 E 2001-08-01 61 days -0.4343309190867375 2001-09-01" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "coords = climtas.event.event_coords(da, events)\n", | |
| "\n", | |
| "def stat_func(event_data):\n", | |
| " return {'min': event_data.min().values,\n", | |
| " 'min_date': event_data.time[event_data.argmin()].values}\n", | |
| " \n", | |
| "minimum = climtas.event.map_events(da, events, stat_func)\n", | |
| "\n", | |
| "coords.join(minimum)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
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| }, | |
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