{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import netCDF4 as nc" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "url = 'http://opendap.deltares.nl/thredds/dodsC/opendap/rijkswaterstaat/DuneFoot/DF.nc'\n", "\n", "urlDF = r'..\\..\\processed\\DF.nc'\n", "urlDF2nd = r'..\\..\\processed\\DF_2nd_deriv.nc'\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "df = nc.Dataset(urlDF)\n", "df2 = nc.Dataset(urlDF2nd)\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Alongshore length is equal\n", "WARNING: Time extension is different\n" ] } ], "source": [ "id_df = df.variables['id'][:]\n", "id_df2 = df2.variables['id'][:]\n", "\n", "t_df = df.variables['time'][:]\n", "t_df2 = df2.variables['time'][:]\n", "\n", "if len(id_df) == len(id_df2):\n", " print('Alongshore length is equal')\n", "else:\n", " print('WARNING: length is different')\n", "\n", "if len(t_df) == len(t_df2):\n", " print('Time extension is equal')\n", "else:\n", " print('WARNING: Time extension is different')\n", " \n", "# check times:\n", "#nc.num2date(df.variables['time'][:].tolist(),df.variables['time'].units)\n", "#nc.num2date(df2.variables['time'][:].tolist(),df2.variables['time'].units)\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Anaconda2\\envs\\py3\\lib\\site-packages\\ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in greater\n", " \"\"\"Entry point for launching an IPython kernel.\n", "C:\\Anaconda2\\envs\\py3\\lib\\site-packages\\ipykernel_launcher.py:2: RuntimeWarning: invalid value encountered in greater\n", " \n", "C:\\Anaconda2\\envs\\py3\\lib\\site-packages\\ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in greater\n", " This is separate from the ipykernel package so we can avoid doing imports until\n", "C:\\Anaconda2\\envs\\py3\\lib\\site-packages\\ipykernel_launcher.py:5: RuntimeWarning: invalid value encountered in greater\n", " \"\"\"\n", "C:\\Anaconda2\\envs\\py3\\lib\\site-packages\\ipykernel_launcher.py:6: RuntimeWarning: invalid value encountered in greater\n", " \n", "C:\\Anaconda2\\envs\\py3\\lib\\site-packages\\ipykernel_launcher.py:7: RuntimeWarning: invalid value encountered in greater\n", " import sys\n" ] } ], "source": [ "lat_df3nap = df.variables['dune_foot_threeNAP_lat'][:]\n", "lon_df3nap = df.variables['dune_foot_threeNAP_lon'][:]\n", "distRSP_df3nap = df.variables['dune_foot_threeNAP_cross'][:]\n", "\n", "lat_df2 = df2.variables['dune_foot_2nd_deriv_lat'][:]\n", "lon_df2 = df2.variables['dune_foot_2nd_deriv_lon'][:]\n", "distRSP_df2 = df2.variables['dune_foot_2nd_deriv_cross'][:]\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# import packages to create shape...\n", "import numpy as np\n", "import ogr, sys, os\n", "import osgeo.osr as osr\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "A subdirectory or file df_threeNap already exists.\n", "A subdirectory or file df_2ndDeriv already exists.\n" ] } ], "source": [ "!mkdir df_threeNap\n", "!mkdir df_2ndDeriv\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MULTIPOINT (6.14535154219985 53.4694781331286 0,6.14492389307971 53.4697520111925 0,6.14448684915559 53.4698151710754 0,6.14401422207074 53.4698608674628 0,6.14355753834006 53.4699203984669 0,6.14302140693457 53.4700249180129 0,6.14253173243644 53.4701680225319 0,6.13968886395732 53.4711165825336 0,6.1376297939991 53.4724525982257 0,6.13594627860281 53.4739235697791 0,6.13440894207186 53.4754962639991 0,6.13348469170626 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51.3690527855401 0)\n" ] } ], "source": [ "# look at wkt..\n", "\n", "multipoint = ogr.Geometry(ogr.wkbMultiPoint)\n", "\n", "for tr in range(len(lat_df3nap[-1,:])):\n", " point = ogr.Geometry(ogr.wkbPoint)\n", " point.AddPoint(lon_df3nap[-1,tr],lat_df3nap[-1,tr])\n", " multipoint.AddGeometry(point)\n", "\n", "print(multipoint.ExportToWkt())\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# create shape 3NAP - 2018\n", "\n", "driver = ogr.GetDriverByName('ESRI Shapefile')\n", "ds = driver.CreateDataSource(r'df_threeNap/df_threeNap.shp')\n", "\n", "srs = osr.SpatialReference()\n", "srs.ImportFromEPSG(4326)\n", "\n", "layer = ds.CreateLayer('df_threeNap', srs, ogr.wkbPoint)\n", "\n", "# Add the fields we're interested in\n", "layer.CreateField(ogr.FieldDefn(\"TransectID\", ogr.OFTInteger))\n", "layer.CreateField(ogr.FieldDefn(\"DistRSP\", ogr.OFTReal))\n", "field_name = ogr.FieldDefn(\"Areaname\", ogr.OFTString)\n", "field_name.SetWidth(100)\n", "layer.CreateField(field_name)\n", "layer.CreateField(ogr.FieldDefn(\"Latitude\", ogr.OFTReal))\n", "layer.CreateField(ogr.FieldDefn(\"Longitude\", ogr.OFTReal))\n", "\n", "# Add features to the ouput Layer\n", "for tr in range(0, len(lat_df3nap[-1,:])):\n", " \n", " if ~np.isnan(lat_df3nap[-1,tr]):\n", " # geometry\n", " point = ogr.Geometry(ogr.wkbPoint)\n", " point.AddPoint(lon_df3nap[-1,tr],lat_df3nap[-1,tr])\n", "\n", " # Create output Feature\n", " featureDefn=layer.GetLayerDefn()\n", " feature=ogr.Feature(featureDefn)\n", " feature.SetField('id', tr)\n", " # Set the attributes using the values from the delimited text file\n", " feature.SetField(\"TransectID\", int(id_df[tr]))\n", " feature.SetField(\"DistRSP\", distRSP_df3nap[-1,tr])\n", " feature.SetField(\"Areaname\", str(nc.chartostring(df.variables['areaname'][tr])))\n", " feature.SetField(\"Latitude\", lat_df3nap[-1,tr])\n", " feature.SetField(\"Longitude\", lon_df3nap[-1,tr])\n", "\n", " # Set geometry\n", " feature.SetGeometry(point)\n", " # Add new feature to output Layer\n", " layer.CreateFeature(feature)\n", "\n", "# save and close\n", "ds = None" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# create shape 2nd Deriv - 2018\n", "\n", "driver = ogr.GetDriverByName('ESRI Shapefile')\n", "ds = driver.CreateDataSource(r'df_2ndDeriv/df_2ndDeriv.shp')\n", "\n", "srs = osr.SpatialReference()\n", "srs.ImportFromEPSG(4326)\n", "\n", "layer = ds.CreateLayer('df_2ndDeriv', srs, ogr.wkbPoint)\n", "\n", "# Add the fields we're interested in\n", "layer.CreateField(ogr.FieldDefn(\"TransectID\", ogr.OFTInteger))\n", "layer.CreateField(ogr.FieldDefn(\"DistRSP\", ogr.OFTReal))\n", "field_name = ogr.FieldDefn(\"Areaname\", ogr.OFTString)\n", "field_name.SetWidth(100)\n", "layer.CreateField(field_name)\n", "layer.CreateField(ogr.FieldDefn(\"Latitude\", ogr.OFTReal))\n", "layer.CreateField(ogr.FieldDefn(\"Longitude\", ogr.OFTReal))\n", "\n", "# Add features to the ouput Layer\n", "for tr2 in range(0, len(lat_df2[-1,:])):\n", " \n", " if ~np.isnan(lat_df2[-1,tr2]):\n", " # geometry\n", " point = ogr.Geometry(ogr.wkbPoint)\n", " point.AddPoint(lon_df2[-1,tr2],lat_df2[-1,tr2])\n", "\n", " # Create output Feature\n", " featureDefn=layer.GetLayerDefn()\n", " feature=ogr.Feature(featureDefn)\n", " feature.SetField('id', tr2)\n", " # Set the attributes using the values from the delimited text file\n", " feature.SetField(\"TransectID\", int(id_df2[tr2]))\n", " feature.SetField(\"DistRSP\", distRSP_df2[-1,tr2])\n", " feature.SetField(\"Areaname\", str(nc.chartostring(df2.variables['areaname'][tr2])))\n", " feature.SetField(\"Latitude\", lat_df2[-1,tr2])\n", " feature.SetField(\"Longitude\", lon_df2[-1,tr2])\n", "\n", " # Set geometry\n", " feature.SetGeometry(point)\n", " # Add new feature to output Layer\n", " layer.CreateFeature(feature)\n", "\n", "# save and close\n", "ds = None" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(54, 2285)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "distRSP_df2.shape" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(176, 2285)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "distRSP_df3nap.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }