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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import os\n", | |
"import tobac\n", | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"import xarray as xr\n", | |
"from glob import glob\n", | |
"import warnings\n", | |
"warnings.filterwarnings('ignore')\n", | |
"\n", | |
"import proplot as pplt\n", | |
"import matplotlib\n", | |
"%matplotlib inline " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"files = sorted(glob('./tes20/*tes20'))\n", | |
"\n", | |
"def read_data(i):\n", | |
" return pd.read_csv(i, header=None, delim_whitespace=True)\n", | |
"\n", | |
"df = pd.concat(map(read_data, files))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"times = pd.date_range(\"2000-01-01\", periods=65,freq='min')\n", | |
"x = np.linspace(0,100,101)\n", | |
"y = np.linspace(0,40,41)\n", | |
"\n", | |
"data = np.reshape(df.values, (len(files), -1, len(df.columns)))\n", | |
"data = xr.DataArray(data, coords=[times, y ,x], dims=[\"time\", \"y\" , \"x\"])\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.collections.QuadMesh at 0x1505e9840>" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 400x400 with 2 Axes>" | |
] | |
}, | |
"metadata": { | |
"image/png": { | |
"height": 400, | |
"width": 400 | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"data.isel(time=49).plot()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def feature(threshold, \n", | |
" min_num=0,\n", | |
" target='maximum',\n", | |
" position_threshold='weighted_diff',\n", | |
" sigma_threshold=0,\n", | |
" n_erosion_threshold=0,\n", | |
" n_min_threshold=0,\n", | |
" min_distance=0,\n", | |
" feature_number_start=1,\n", | |
" wavelength_filtering=None\n", | |
" # coord_interp_kind='linear'\n", | |
" ):\n", | |
" '''Set keyword arguments for the feature detection step'''\n", | |
" parameters_features = {}\n", | |
" \n", | |
" # K, step-wise threshold for feature detection\n", | |
" parameters_features['threshold'] = threshold\n", | |
"\n", | |
" # Minumum number of cells above/below threshold in the feature to be tracked\n", | |
" parameters_features['min_num'] = min_num\n", | |
" \n", | |
" parameters_features['target'] = target\n", | |
" \n", | |
" # diff between specific value and threshold for weighting when finding the center location (instead of just mean lon/lat)\n", | |
" parameters_features['position_threshold'] = position_threshold\n", | |
" \n", | |
" # for slightly smoothing (gaussian filter)\n", | |
" parameters_features['sigma_threshold'] = sigma_threshold\n", | |
" \n", | |
" # pixel erosion (for more robust results)\n", | |
" parameters_features['n_erosion_threshold'] = n_erosion_threshold\n", | |
" \n", | |
" # minimum number of contiguous pixels for thresholds\n", | |
" parameters_features['n_min_threshold'] = n_min_threshold\n", | |
" \n", | |
" # minimum distance between features\n", | |
" parameters_features['min_distance'] = min_distance\n", | |
" \n", | |
" # Feature id to start with. Default is 1.\n", | |
" parameters_features['feature_number_start'] = feature_number_start\n", | |
" \n", | |
" # Minimum and maximum wavelength for spectral filtering in meter. Default is None.\n", | |
" # parameters_features['wavelength_filtering'] = wavelength_filtering\n", | |
" \n", | |
" # we want to keep the original x/y instead of interpolated x/y\n", | |
" # https://github.com/climate-processes/tobac/pull/51\n", | |
" # parameters_features['coord_interp_kind'] = coord_interp_kind\n", | |
"\n", | |
" return parameters_features\n", | |
"\n", | |
"def segmentation_input(threshold,\n", | |
" target='maximum', \n", | |
" level=None,\n", | |
" method='watershed',\n", | |
" max_distance=None,\n", | |
" vertical_coord=None\n", | |
" ):\n", | |
" '''Set keyword arguments for the segmentation step'''\n", | |
" parameters_segmentation = {}\n", | |
" \n", | |
" # until which threshold the area is taken into account\n", | |
" parameters_segmentation['threshold'] = threshold\n", | |
" \n", | |
" parameters_segmentation['target'] = target\n", | |
" \n", | |
" # Levels at which to seed the cells for the watershedding algorithm. Default is None.\n", | |
" parameters_segmentation['level'] = level\n", | |
" \n", | |
" # ({'watershed'}, optional) – Flag determining the algorithm to use (currently watershedding implemented). ‘random_walk’ could be uncommented.\n", | |
" parameters_segmentation['method'] = method\n", | |
" \n", | |
" # Maximum distance from a marker allowed to be classified as belonging to that cell. Default is None.\n", | |
" parameters_segmentation['max_distance'] = max_distance\n", | |
"\n", | |
" return parameters_segmentation\n", | |
"\n", | |
"\n", | |
"def feature_mask(Precip, threshold):\n", | |
" '''Detect the features and get the masks using tobac'''\n", | |
" # set the grid size to 5 km because the resolution of pixel is 3.6 km * 5.6 km\n", | |
" dxy = 300 # data resolution; Unit: m\n", | |
"\n", | |
" # set parameters_features\n", | |
" parameters_features = feature(threshold)\n", | |
"\n", | |
" # drop the x and y coordinates and assign at the end\n", | |
" # this is related to some bug in tobac, Xin just uses this trick to escape ...\n", | |
" # Precip_df=xr.DataArray.from_iris(Precip)\n", | |
" # x_coord = Precip_df.coords['x']\n", | |
" # y_coord = Precip_df.coords['y']\n", | |
" # Precip = Precip_df.to_iris()\n", | |
" \n", | |
" # get features\n", | |
" features = tobac.themes.tobac_v1.feature_detection_multithreshold(Precip, dxy, **parameters_features)\n", | |
" # features=tobac.feature_detection_multithreshold(Precip,dxy=dxy,**parameters_features)\n", | |
" ac=features\n", | |
" # set parameters_segmentation\n", | |
" parameters_segmentation = segmentation_input(0.99*np.min(threshold))\n", | |
"\n", | |
" # get masks and paired features\n", | |
" if features is not None:\n", | |
" masks_amw, features_amw = tobac.themes.tobac_v1.segmentation(features, Precip, dxy, **parameters_segmentation)\n", | |
" # masks_amw, features_amw = tobac.segmentation_2D(\n", | |
" # features, Precip, \n", | |
" # dxy=dxy,\n", | |
" # **parameters_segmentation\n", | |
" # )\n", | |
" # masks_amw = xr.DataArray.from_iris(masks_amw)\n", | |
" # masks_amw = masks_amw.where(masks_amw > 0).rename({'dim_0': 'y', 'dim_1': 'x'})\n", | |
" # masks_amw = masks_amw.assign_coords({'x': x_coord, 'y': y_coord})\n", | |
"\n", | |
" return masks_amw,features,ac\n", | |
" else:\n", | |
" return None" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
" frame idx hdim_1 hdim_2 num threshold_value feature \\\n", | |
"0 10 5 6.000000 50.000000 1 0.03 1 \n", | |
"1 11 7 6.613615 49.150692 5 0.04 2 \n", | |
"2 12 5 7.000000 99.500000 2 0.02 3 \n", | |
"3 12 9 6.665234 49.783750 7 0.04 4 \n", | |
"4 13 10 6.674085 49.455396 9 0.04 5 \n", | |
".. ... ... ... ... ... ... ... \n", | |
"290 62 11 8.351721 85.696496 567 0.04 291 \n", | |
"291 63 10 10.046745 31.630346 502 0.04 292 \n", | |
"292 63 11 8.052040 85.412504 575 0.04 293 \n", | |
"293 64 10 10.143510 30.456725 522 0.04 294 \n", | |
"294 64 11 7.873182 85.102465 596 0.04 295 \n", | |
"\n", | |
" time timestr y x \n", | |
"0 2000-01-01 00:10:00 2000-01-01 00:10:00 6.000000 50.000000 \n", | |
"1 2000-01-01 00:11:00 2000-01-01 00:11:00 6.613615 49.150692 \n", | |
"2 2000-01-01 00:12:00 2000-01-01 00:12:00 7.000000 99.500000 \n", | |
"3 2000-01-01 00:12:00 2000-01-01 00:12:00 6.665234 49.783750 \n", | |
"4 2000-01-01 00:13:00 2000-01-01 00:13:00 6.674085 49.455396 \n", | |
".. ... ... ... ... \n", | |
"290 2000-01-01 01:02:00 2000-01-01 01:02:00 8.351721 85.696496 \n", | |
"291 2000-01-01 01:03:00 2000-01-01 01:03:00 10.046745 31.630346 \n", | |
"292 2000-01-01 01:03:00 2000-01-01 01:03:00 8.052040 85.412504 \n", | |
"293 2000-01-01 01:04:00 2000-01-01 01:04:00 10.143510 30.456725 \n", | |
"294 2000-01-01 01:04:00 2000-01-01 01:04:00 7.873182 85.102465 \n", | |
"\n", | |
"[295 rows x 11 columns]\n", | |
"['time', 'y', 'x']\n", | |
"<xarray.DataArray (time: 65, y: 41, x: 101)>\n", | |
"array([[[0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" ...,\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00]],\n", | |
"\n", | |
" [[0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
"...\n", | |
" [4.394e-14, 4.394e-14, 3.002e-15, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [6.452e-16, 6.452e-16, 2.929e-17, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [6.451e-16, 6.451e-16, 2.928e-17, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00]],\n", | |
"\n", | |
" [[2.829e-08, 2.937e-08, 2.679e-08, ..., 2.878e-01, 2.878e-01,\n", | |
" 2.878e-01],\n", | |
" [2.829e-08, 2.937e-08, 2.679e-08, ..., 2.878e-01, 2.878e-01,\n", | |
" 2.878e-01],\n", | |
" [9.973e-08, 9.734e-08, 8.946e-08, ..., 2.473e-01, 2.473e-01,\n", | |
" 2.473e-01],\n", | |
" ...,\n", | |
" [2.750e-15, 6.393e-16, 1.245e-15, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00],\n", | |
" [0.000e+00, 0.000e+00, 0.000e+00, ..., 0.000e+00, 0.000e+00,\n", | |
" 0.000e+00]]])\n", | |
"Coordinates:\n", | |
" * time (time) datetime64[ns] 2000-01-01 ... 2000-01-01T01:04:00\n", | |
" * y (y) float64 0.0 1.0 2.0 3.0 4.0 5.0 ... 36.0 37.0 38.0 39.0 40.0\n", | |
" * x (x) float64 0.0 1.0 2.0 3.0 4.0 5.0 ... 96.0 97.0 98.0 99.0 100.0\n" | |
] | |
} | |
], | |
"source": [ | |
"threshold = np.array([0.01,0.02,0.03,0.04]) \n", | |
"masks_amw, features, ac = feature_mask(data, threshold)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.collections.PathCollection at 0x155b2b850>" | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
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", | |
"text/plain": [ | |
"Figure(nrows=1, ncols=3, refwidth=2.5)" | |
] | |
}, | |
"metadata": { | |
"image/png": { | |
"height": 304, | |
"width": 1057 | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig, axs = pplt.subplots(ncols=3)\n", | |
"\n", | |
"features.where(features['frame']==48, drop=True).plot.scatter(ax=axs[0], x='hdim_2', y='hdim_1', hue='feature')\n", | |
"features.where(features['frame']==49, drop=True).plot.scatter(ax=axs[1], x='hdim_2', y='hdim_1', hue='feature')\n", | |
"features.where(features['frame']==50, drop=True).plot.scatter(ax=axs[2], x='hdim_2', y='hdim_1', hue='feature')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<xarray.plot.facetgrid.FacetGrid at 0x155db5cc0>" | |
] | |
}, | |
"execution_count": 8, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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| |
"text/plain": [ | |
"<Figure size 1000x300 with 4 Axes>" | |
] | |
}, | |
"metadata": { | |
"image/png": { | |
"height": 300, | |
"width": 1000 | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"data.isel(time=slice(48, 51)).plot(x=\"x\", y=\"y\", col=\"time\", col_wrap=3)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<xarray.plot.facetgrid.FacetGrid at 0x156a4b940>" | |
] | |
}, | |
"execution_count": 9, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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| |
"text/plain": [ | |
"<Figure size 1000x300 with 4 Axes>" | |
] | |
}, | |
"metadata": { | |
"image/png": { | |
"height": 300, | |
"width": 1000 | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"masks_amw.where(masks_amw>0).isel(time=slice(48, 51)).plot(x=\"x\", y=\"y\", col=\"time\", col_wrap=3)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.collections.QuadMesh at 0x156d85cf0>" | |
] | |
}, | |
"execution_count": 10, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 400x400 with 2 Axes>" | |
] | |
}, | |
"metadata": { | |
"image/png": { | |
"height": 400, | |
"width": 400 | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_data = masks_amw.where(masks_amw>0).isel(time=49)\n", | |
"plot_data.plot()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"Figure(nrows=1, ncols=1, refwidth=2.5)" | |
] | |
}, | |
"metadata": { | |
"image/png": { | |
"height": 318, | |
"width": 312 | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig, axs = pplt.subplots()\n", | |
"\n", | |
"# get levels of data\n", | |
"levels = np.unique(plot_data.values)\n", | |
"levels = levels[~np.isnan(levels)]\n", | |
"\n", | |
"cs = masks_amw.isel(time=49).plot.contour(ax=axs,\n", | |
" cmap='viridis',\n", | |
" levels=levels,\n", | |
" # kwargs=dict(inline=True),\n", | |
" linewidth=1)\n", | |
"# axs.clabel(cs)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "arctic", | |
"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": "3.10.5" | |
}, | |
"orig_nbformat": 4, | |
"vscode": { | |
"interpreter": { | |
"hash": "4bb99803c8a750bdcc08b2166dee7f23e12226de3d9161d2640c3715055b8629" | |
} | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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