CDPP / HELIOPROPA

Commit 57278073ea7ea269be07302aca4d4552b8a852c9

Authored by hitier
1 parent 1e67fb64
Exists in rhitier-dev

New speasy method to get dataframe as expected

Showing 1 changed file with 147 additions and 181 deletions   Show diff stats
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notebooks/Migrate_to_Speasy.ipynb
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... ... @@ -12,7 +12,7 @@
12 12 },
13 13 {
14 14 "cell_type": "code",
15   - "execution_count": 16,
  15 + "execution_count": 3,
16 16 "id": "011e9aa5-2047-431d-810f-28c37652fc77",
17 17 "metadata": {},
18 18 "outputs": [],
... ... @@ -48,23 +48,11 @@
48 48 },
49 49 {
50 50 "cell_type": "code",
51   - "execution_count": 17,
  51 + "execution_count": 4,
52 52 "id": "b38c421f-b879-4b39-a504-0667a9930aff",
53 53 "metadata": {},
54   - "outputs": [
55   - {
56   - "name": "stdout",
57   - "output_type": "stream",
58   - "text": [
59   - "2023-10-23T17:20:57\n",
60   - "%Y-%m-%dT%H:%M:%S\n"
61   - ]
62   - }
63   - ],
  54 + "outputs": [],
64 55 "source": [
65   - "print(datetime.strftime(datetime.now(), FILE_DATE_FMT) )\n",
66   - "print(FILE_DATE_FMT)\n",
67   - " \n",
68 56 "# \n",
69 57 "_target_slug = \"mars\"\n",
70 58 "_input_slug = \"om\"\n",
... ... @@ -88,47 +76,42 @@
88 76 },
89 77 {
90 78 "cell_type": "code",
91   - "execution_count": 18,
  79 + "execution_count": 5,
92 80 "id": "f580de31-734f-47c2-a09e-c44cbe465a0d",
93 81 "metadata": {},
94   - "outputs": [],
  82 + "outputs": [
  83 + {
  84 + "ename": "AttributeError",
  85 + "evalue": "'Exception' object has no attribute 'message'",
  86 + "output_type": "error",
  87 + "traceback": [
  88 + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
  89 + "\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
  90 + "File \u001b[0;32m~/01DEV/heliopropa/web/run.py:565\u001b[0m, in \u001b[0;36mretrieve_amda_netcdf\u001b[0;34m(orbiter, what, started_at, stopped_at)\u001b[0m\n\u001b[1;32m 564\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m remote_gzip_files \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNODATASET\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 565\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAPI says there\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms no dataset at \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m url)\n\u001b[1;32m 566\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m remote_gzip_files \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mERROR\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
  91 + "\u001b[0;31mException\u001b[0m: API says there's no dataset at 'http://amda.irap.omp.eu/DDService/getDataUrl.php?dataSet=tao-mars-sw&StartTime=2023-01-01T00:00:00&StopTime=2023-04-01T00:00:00'.",
  92 + "\nDuring handling of the above exception, another exception occurred:\n",
  93 + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
  94 + "Cell \u001b[0;32mIn[5], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m target_config \u001b[38;5;241m=\u001b[39m get_target_config( _target_slug)\n\u001b[0;32m----> 2\u001b[0m all_data \u001b[38;5;241m=\u001b[39m \u001b[43mget_data_for_target\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtarget_config\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_input_slug\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_start_time\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_stop_time\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
  95 + "File \u001b[0;32m~/01DEV/heliopropa/web/run.py:733\u001b[0m, in \u001b[0;36mget_data_for_target\u001b[0;34m(target_config, input_slug, started_at, stopped_at)\u001b[0m\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m model \u001b[38;5;129;01min\u001b[39;00m models:\n\u001b[1;32m 732\u001b[0m s0, s1 \u001b[38;5;241m=\u001b[39m _sta_sto(model, started_at, stopped_at)\n\u001b[0;32m--> 733\u001b[0m model_files \u001b[38;5;241m=\u001b[39m \u001b[43mretrieve_amda_netcdf\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 734\u001b[0m \u001b[43m \u001b[49m\u001b[43mtarget_config\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mslug\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mslug\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43ms0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43ms1\u001b[49m\n\u001b[1;32m 735\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 736\u001b[0m nc_keys \u001b[38;5;241m=\u001b[39m default_nc_keys\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 737\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mparameters\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m model:\n",
  96 + "File \u001b[0;32m~/01DEV/heliopropa/web/run.py:573\u001b[0m, in \u001b[0;36mretrieve_amda_netcdf\u001b[0;34m(orbiter, what, started_at, stopped_at)\u001b[0m\n\u001b[1;32m 571\u001b[0m success \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 572\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 573\u001b[0m log\u001b[38;5;241m.\u001b[39mwarning(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed (\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m/3) \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m : \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m (retries \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m, url, \u001b[43me\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmessage\u001b[49m))\n\u001b[1;32m 574\u001b[0m remote_gzip_files \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 575\u001b[0m errors\u001b[38;5;241m.\u001b[39mappend(e)\n",
  97 + "\u001b[0;31mAttributeError\u001b[0m: 'Exception' object has no attribute 'message'"
  98 + ]
  99 + }
  100 + ],
95 101 "source": [
96   - "# _date_stop = \n",
97 102 "target_config = get_target_config( _target_slug)\n",
98 103 "all_data = get_data_for_target(target_config, _input_slug, _start_time, _stop_time )"
99 104 ]
100 105 },
101 106 {
102 107 "cell_type": "code",
103   - "execution_count": 19,
  108 + "execution_count": null,
104 109 "id": "885d8f5e-6632-4f7c-9242-548ba475662c",
105 110 "metadata": {},
106   - "outputs": [
107   - {
108   - "name": "stdout",
109   - "output_type": "stream",
110   - "text": [
111   - "2023-01-02T01 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.6075, 1.5265903896488477, -0.3453779776090818)\n",
112   - "2023-01-02T02 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.587, 1.5265073923460875, -0.34597165659501145)\n",
113   - "2023-01-02T03 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.5665, 1.5264241494227897, -0.3465653541181282)\n",
114   - "2023-01-02T04 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.546, 1.526340660836197, -0.34715907006518826)\n",
115   - "2023-01-02T05 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.5255, 1.5262569265435815, -0.34775280432303735)\n",
116   - "2023-01-02T06 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.5051, 1.5261729465022444, -0.3483465567786092)\n",
117   - "2023-01-02T07 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.4846, 1.5260887206695148, -0.3489403273189244)\n",
118   - "2023-01-02T08 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.4641, 1.5260042490027521, -0.34953411583108773)\n",
119   - "2023-01-02T09 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.4436, 1.525919531459343, -0.35012792220228767)\n",
120   - "2023-01-02T10 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.4231, 1.5258345679967054, -0.35072174631979414)\n",
121   - "2023-01-02T11 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.4026, 1.5257493585722852, -0.3513155880709567)\n",
122   - "2023-01-02T12 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.3821, 1.5256639031435584, -0.35190944734320423)\n",
123   - "2023-01-02T13 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.3617, 1.5255782016680308, -0.3525033240240415)\n",
124   - "2023-01-02T14 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.3412, 1.525492254103238, -0.35309721800104926)\n",
125   - "2023-01-02T15 (100.0, 1.0, 100.00499987500625, 1e-05, 8.6169755e-05, 0.0167017, 1.0, 11.3207, 1.525406060406746, -0.3536911291618817)\n"
126   - ]
127   - }
128   - ],
  111 + "outputs": [],
129 112 "source": [
130 113 "# display first elements of the all_data retrieved this way\n",
131   - "small_data_keys = list(all_data.keys())[0:15]\n",
  114 + "small_data_keys = list(all_data.keys())[0:5]\n",
132 115 "for k in small_data_keys:\n",
133 116 " # dont display first tuple element that is date\n",
134 117 " print(k, all_data[k][1:])"
... ... @@ -136,30 +119,23 @@
136 119 },
137 120 {
138 121 "cell_type": "code",
139   - "execution_count": 20,
140   - "id": "fbc35109-ea73-42f4-878a-83b50d27c2d4",
  122 + "execution_count": null,
  123 + "id": "ef11af95-c667-4e43-b1ea-cbb31caf3471",
141 124 "metadata": {},
142   - "outputs": [
143   - {
144   - "name": "stdout",
145   - "output_type": "stream",
146   - "text": [
147   - "time,vrad,vtan,vtot,btan,temp,pdyn,dens,atse,xhee,yhee\n",
148   - "2023-01-02T01:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.6075,1.5265903896488477,-0.3453779776090818\n",
149   - "2023-01-02T02:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.587,1.5265073923460875,-0.34597165659501145\n",
150   - "2023-01-02T03:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.5665,1.5264241494227897,-0.3465653541181282\n",
151   - "2023-01-02T04:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.546,1.526340660836197,-0.34715907006518826\n",
152   - "2023-01-02T05:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.5255,1.5262569265435815,-0.34775280432303735\n",
153   - "2023-01-02T06:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.5051,1.5261729465022444,-0.3483465567786092\n",
154   - "2023-01-02T07:00:00+00:00,100.0,1.0,100.00499987500625,1e-05,8.6169755e-05,0.0167017,1.0,11.4846,1.5260887206695148,-0.3489403273189244\n",
155   - "2023-01-0\n"
156   - ]
157   - }
158   - ],
  125 + "outputs": [],
159 126 "source": [
160   - "all_csv = generate_csv_contents(_target_slug, _input_slug, _start_time, _stop_time)\n",
161   - "print (all_csv[0:1024])\n",
162   - " "
  127 + "# same with the calling method\n",
  128 + "all_csv = generate_csv_contents(_target_slug, _input_slug, _start_time, _stop_time)\n"
  129 + ]
  130 + },
  131 + {
  132 + "cell_type": "code",
  133 + "execution_count": null,
  134 + "id": "ad8c4f2a-d0d4-4005-9cd0-a75e3a98b469",
  135 + "metadata": {},
  136 + "outputs": [],
  137 + "source": [
  138 + "print(all_csv[0:600])"
163 139 ]
164 140 },
165 141 {
... ... @@ -167,26 +143,21 @@
167 143 "id": "9748ab9f-3dc8-4b02-bf4f-a750a35864b5",
168 144 "metadata": {},
169 145 "source": [
170   - "#### Now do the same with speazy"
  146 + "#### Now rewrite that with speazy\n",
  147 + "\n",
  148 + "ie, generate a csv file with that new library.p\n",
  149 + "That means getting parameters, rename the column as expected by the javascript grappher,\n",
  150 + "and concatenate to get a single dataframe."
171 151 ]
172 152 },
173 153 {
174 154 "cell_type": "code",
175   - "execution_count": 21,
  155 + "execution_count": null,
176 156 "id": "05e8cec5-be4e-4a8a-b73c-469cc946ad05",
177 157 "metadata": {},
178   - "outputs": [
179   - {
180   - "name": "stdout",
181   - "output_type": "stream",
182   - "text": [
183   - "Orbit dataset : mars-orb-all\n",
184   - "Plsama dataset : tao-mars-sw\n"
185   - ]
186   - }
187   - ],
  158 + "outputs": [],
188 159 "source": [
189   - "# First, get the dataset ids\n",
  160 + "# First, get the dataset ids \n",
190 161 "target_config = get_target_config(_target_slug)\n",
191 162 "orbit_dataset_id = target_config['orbit']['models'][0]['slug']\n",
192 163 "plasma_dataset_id = target_config['models'][_input_slug][0]['slug']\n",
... ... @@ -199,7 +170,7 @@
199 170 },
200 171 {
201 172 "cell_type": "code",
202   - "execution_count": 22,
  173 + "execution_count": null,
203 174 "id": "af1b616b-d6e0-4ad5-baeb-cce3b9b96fd3",
204 175 "metadata": {},
205 176 "outputs": [],
... ... @@ -211,43 +182,23 @@
211 182 },
212 183 {
213 184 "cell_type": "code",
214   - "execution_count": 102,
  185 + "execution_count": 17,
215 186 "id": "e6ea5f1a-aeee-42c6-b031-a69466064333",
216 187 "metadata": {},
217   - "outputs": [
218   - {
219   - "name": "stdout",
220   - "output_type": "stream",
221   - "text": [
222   - "{'dens': 'mars_sw_n', 'xy_v': 'mars_sw_v', 'temp': 'mars_sw_t', 'pdyn': 'mars_sw_pdyn', 'btan': 'mars_sw_b', 'brad': 'mars_sw_bx', 'atse': 'mars_sw_da', 'xy_hee': 'xyz_mars_hee'}\n"
223   - ]
224   - }
225   - ],
  188 + "outputs": [],
226 189 "source": [
227   - "# print(plasma_dataset.variables['density'].to_dataframe())\n",
228   - "# print(orbit_dataset['xyz_hee'].to_dataframe())\n",
229   - "# print(plasma_dataset)\n",
230   - "# hee_vect = amda.get_data('xyz_mars_hee','20230101', '20230110')\n",
231   - "# hee_vect = amda.get_data('mars_hci_lon')\n",
232   - "# mars_sw_n = amda.get_data('mars_sw_n', '20230101', '20230110')\n",
233   - "# param_index = amda.list_parameters(plasma_dataset_id)[0]\n",
234   - "# print(param_index.spz_name())\n",
235   - "# print(param_index.spz_provider())\n",
236   - "# for v_key in plasma_dataset.variables:\n",
237   - "# print(plasma_dataset[v_key].to_dataframe().columns )\n",
238   - "\n",
239   - "# print(hee_vect.to_dataframe())\n",
240   - "\n",
241   - "\n",
242   - "\n",
243 190 "# vrad, vtan, vtot, btan, brad, pdyn, dens, atse, xhee, yhee\n",
244 191 "\n",
  192 + "# set a dict of amda parameters ids index by the expected column names in the csv\n",
245 193 "\n",
246   - "params_names = ['dens', 'xy_v', 'temp', 'pdyn', 'btan', 'brad', 'atse', 'xy_hee']\n",
247   - "params_ids = ['mars_sw_n', 'mars_sw_v', 'mars_sw_t', 'mars_sw_pdyn', 'mars_sw_b', 'mars_sw_bx', 'mars_sw_da', 'xyz_mars_hee']\n",
248   - "params_dict = {params_names[i] : params_ids [i] for i in range(len(params_names))}\n",
249   - "\n",
250   - "print(params_dict)\n",
  194 + "params_dict = {'dens': 'mars_sw_n',\n",
  195 + " 'xy_v': 'mars_sw_v',\n",
  196 + " 'temp': 'mars_sw_t',\n",
  197 + " 'pdyn': 'mars_sw_pdyn',\n",
  198 + " 'btan': 'mars_sw_b',\n",
  199 + " 'brad': 'mars_sw_bx',\n",
  200 + " 'atse': 'mars_sw_da',\n",
  201 + " 'xy_hee': 'xyz_mars_hee'}\n",
251 202 "\n",
252 203 "list_df = []\n",
253 204 "for _name, _id in params_dict.items():\n",
... ... @@ -262,114 +213,129 @@
262 213 "\n",
263 214 " # _df = _df[~_df.index.duplicated()]\n",
264 215 "\n",
265   - " # resample to frequency\n",
  216 + " # resample to frequency, for later concatenation\n",
266 217 " _df = _df.resample('1H').mean()\n",
267 218 "\n",
268 219 " # _df = _df.loc[_df.first_valid_index():_df.last_valid_index()]\n",
269 220 "\n",
270   - "\n",
271   - " list_df.append( _df)"
  221 + " list_df.append( _df)\n",
  222 + "\n"
272 223 ]
273 224 },
274 225 {
275 226 "cell_type": "code",
276   - "execution_count": 103,
277   - "id": "cff92f75-fb9c-4321-9252-2916c8ad3961",
  227 + "execution_count": null,
  228 + "id": "8696bcec-5d54-411a-ad9f-8b161f00556b",
278 229 "metadata": {},
279   - "outputs": [
280   - {
281   - "name": "stdout",
282   - "output_type": "stream",
283   - "text": [
284   - " dens vrad vtan temp pdyn \\\n",
285   - "2023-01-01 00:00:00 2.027965 458.539 -8.99439 6.42018 0.713528 \n",
286   - "2023-01-01 01:00:00 1.482050 539.666 -18.05740 10.00060 0.721630 \n",
287   - "2023-01-01 02:00:00 1.326660 543.801 -16.74380 9.38966 0.655797 \n",
288   - "2023-01-01 03:00:00 1.272310 547.864 -13.52640 8.68052 0.638148 \n",
289   - "2023-01-01 04:00:00 1.249690 549.258 -4.20118 7.80526 0.629647 \n",
290   - "... ... ... ... ... ... \n",
291   - "2023-03-31 19:00:00 0.542084 516.924 8.88399 5.18655 0.241971 \n",
292   - "2023-03-31 20:00:00 0.562422 517.866 7.23857 5.53934 0.251941 \n",
293   - "2023-03-31 21:00:00 0.592216 518.869 6.32393 5.77893 0.266303 \n",
294   - "2023-03-31 22:00:00 0.659833 519.320 5.89804 5.74984 0.297220 \n",
295   - "2023-03-31 23:00:00 0.775901 517.328 5.84618 5.47295 0.346824 \n",
296   - "\n",
297   - " btan brad atse xhee yhee \n",
298   - "2023-01-01 00:00:00 -1.892408 0.490593 10.3768 1.528606 -0.330547 \n",
299   - "2023-01-01 01:00:00 -2.591060 2.102028 10.6671 1.528529 -0.331140 \n",
300   - "2023-01-01 02:00:00 -2.522670 2.062160 10.6880 1.528452 -0.331733 \n",
301   - "2023-01-01 03:00:00 -2.502990 2.061292 10.7095 1.528375 -0.332326 \n",
302   - "2023-01-01 04:00:00 -2.487440 2.053632 10.7316 1.528297 -0.332920 \n",
303   - "... ... ... ... ... ... \n",
304   - "2023-03-31 19:00:00 1.871000 -1.379349 63.1814 0.804420 -1.437641 \n",
305   - "2023-03-31 20:00:00 2.050160 -1.514163 63.2069 0.803866 -1.437979 \n",
306   - "2023-03-31 21:00:00 2.243290 -1.659985 63.2330 0.803311 -1.438316 \n",
307   - "2023-03-31 22:00:00 2.439650 -1.806829 63.2587 0.802757 -1.438653 \n",
308   - "2023-03-31 23:00:00 2.573140 -1.898355 63.2848 0.802202 -1.438990 \n",
309   - "\n",
310   - "[2160 rows x 10 columns]\n"
311   - ]
312   - }
313   - ],
  230 + "outputs": [],
314 231 "source": [
315   - "# print(final_df)\n",
316   - "# for _df in list_df:\n",
317   - "# print(_df.columns)\n",
  232 + "from math import sqrt\n",
318 233 "final_df = pd.concat(list_df, axis=1)\n",
319   - "params_names = ['vrad', 'vtan', 'temp', 'pdyn', 'btan', 'brad', 'atse', 'xy_hee']\n",
320   - "time,vrad,vtan,vtot,btan,temp,pdyn,dens,atse,xhee,yhee\n",
  234 + "# Is ther a vtot param ? else build it\n",
  235 + "if 'vtot' not in final_df.columns:\n",
  236 + " final_df['vtot'] = final_df.apply(lambda x: sqrt(x.vtan*x.vtan+ x.vrad*x.vrad), axis=1)\n",
  237 + "\n",
  238 + "cols_ordered = ['vrad', 'vtan', 'vtot', 'btan', 'brad', 'temp', 'pdyn', 'dens', 'atse', 'xhee', 'yhee']\n",
  239 + "final_df = final_df[cols_ordered]\n",
321 240 "\n",
322   - "print(final_df)"
  241 + "# and show\n",
  242 + "pd.set_option('display.max_columns', None)\n",
  243 + "print(final_df.head())"
323 244 ]
324 245 },
325 246 {
326 247 "cell_type": "code",
327   - "execution_count": 60,
328   - "id": "7f642955-4859-4376-8a30-ff12e7233ca1",
  248 + "execution_count": 21,
  249 + "id": "eaec4f41-2524-4562-935a-42b4ce3fdae0",
329 250 "metadata": {},
330 251 "outputs": [
331 252 {
332 253 "name": "stdout",
333 254 "output_type": "stream",
334 255 "text": [
335   - "Index(['mars_sw_n', 'mars_sw_v[0]', 'mars_sw_v[1]', 'mars_sw_t',\n",
336   - " 'mars_sw_pdyn', 'mars_sw_b', 'mars_sw_bx', 'mars_sw_da'],\n",
337   - " dtype='object')\n"
  256 + "time\n"
338 257 ]
339 258 }
340 259 ],
341 260 "source": [
342   - "print(final_df.columns)\n",
343   - "# we want\n",
344   - "# vrad, vtan, vtot, btan, brad, pdyn, dens, atse, xhee, yhee"
  261 + "final_df.index.name = 'time'\n",
  262 + "print(final_df.index.name)"
345 263 ]
346 264 },
347 265 {
348   - "cell_type": "code",
349   - "execution_count": 59,
350   - "id": "62f6b5ef-5a6a-488d-8dfa-da3b5ee7e325",
  266 + "cell_type": "markdown",
  267 + "id": "bde656ba-98b9-4b03-93a3-c0121be49388",
351 268 "metadata": {},
352   - "outputs": [
353   - {
354   - "name": "stdout",
355   - "output_type": "stream",
356   - "text": [
357   - "['mars_sw_n']\n"
358   - ]
359   - }
360   - ],
361 269 "source": [
362   - "print(mars_sw_n.columns)\n",
363   - "\n"
  270 + "#### Use config to get the parameters dict and send to new method\n"
364 271 ]
365 272 },
366 273 {
367 274 "cell_type": "code",
368   - "execution_count": null,
369   - "id": "1071b273-3ede-4b2f-a8a2-8011c2cf6678",
  275 + "execution_count": 24,
  276 + "id": "f92a9195-c863-48e4-ae62-2b3adcd66143",
370 277 "metadata": {},
371 278 "outputs": [],
372   - "source": []
  279 + "source": [
  280 + "def generate_csv_content_spz(target_slug, input_slug, started_at, stopped_at):\n",
  281 + " target_config = get_target_config(target_slug)\n",
  282 + " params_dict = target_config['models'][input_slug][0]['parameters']\n",
  283 + " \n",
  284 + " list_df = []\n",
  285 + " for _name, _id in params_dict.items():\n",
  286 + " _df = amda.get_data(_id, _start_time, _stop_time).to_dataframe()\n",
  287 + " if _name == 'xy_v':\n",
  288 + " _df = _df.rename(columns={_df.columns[0]:'vrad', _df.columns[1]:'vtan'})\n",
  289 + " elif _name == 'xy_hee':\n",
  290 + " _df = _df.drop(_df.columns[2], axis=1)\n",
  291 + " _df = _df.rename(columns={_df.columns[0]:'xhee', _df.columns[1]:'yhee'})\n",
  292 + " else:\n",
  293 + " _df = _df.rename(columns={_df.columns[0]: _name})\n",
  294 + " \n",
  295 + " # _df = _df[~_df.index.duplicated()]\n",
  296 + " \n",
  297 + " # resample to frequency, for later concatenation\n",
  298 + " _df = _df.resample('1H').mean()\n",
  299 + " \n",
  300 + " # _df = _df.loc[_df.first_valid_index():_df.last_valid_index()]\n",
  301 + " \n",
  302 + " list_df.append( _df)\n",
  303 + " \n",
  304 + " from math import sqrt\n",
  305 + " final_df = pd.concat(list_df, axis=1)\n",
  306 + " # Is ther a vtot param ? else build it\n",
  307 + " if 'vtot' not in final_df.columns:\n",
  308 + " final_df['vtot'] = final_df.apply(lambda x: sqrt(x.vtan*x.vtan+ x.vrad*x.vrad), axis=1)\n",
  309 + " \n",
  310 + " \n",
  311 + " cols_ordered = ['vrad', 'vtan', 'vtot', 'btan', 'brad', 'temp', 'pdyn', 'dens', 'atse', 'xhee', 'yhee']\n",
  312 + " final_df = final_df[cols_ordered]\n",
  313 + " final_df.index.name = 'time'\n",
  314 + " return final_df.to_csv(date_format='%Y-%m-%dT%H:%M:%S', float_format=\"%.5f\",\n",
  315 + " header=True,\n",
  316 + " sep=\",\")\n"
  317 + ]
  318 + },
  319 + {
  320 + "cell_type": "code",
  321 + "execution_count": 25,
  322 + "id": "e3cb8de7-e959-4a23-8388-5003d1fd5eeb",
  323 + "metadata": {},
  324 + "outputs": [
  325 + {
  326 + "data": {
  327 + "text/plain": [
  328 + "'time,vrad,vtan,vtot,btan,brad,temp,pdyn,dens,atse,xhee,yhee\\n2023-01-01T00:00:00,458.53900,-8.99439,458.62721,-1.89241,0.49059,6.42018,0.71353,2.02797,10.37680,1.52861,-0.33055\\n2023-01-01T01:00:00,539.66600,-18.05740,539.96802,-2.59106,2.10203,10.00060,0.72163,1.48205,10.66710,1.52853,-0.33114\\n2023-01-01T02:00:00,543.80100,-16.74380,544.05871,-2.52267,2.06216,9.38966,0.65580,1.32666,10.68800,1.52845,-0.33173\\n2023-01-01T03:00:00,547.86400,-13.52640,548.03095,-2.50299,2.06129,8.68052,0.63815,1.27231,10.70950,1.52837,-0.33233\\n2023-01-01T04:00:00,549.25800,-4.20118,549.27407,-2.48744,2.05363,7.80526,0.62965,1.24969,10.73160,1.52830,-0.33292\\n2023-01-01T05:00:00,548.67600,5.81362,548.70680,-2.46739,2.03485,6.73197,0.64252,1.27788,10.75300,1.52822,-0.33351\\n2023-01-01T06:00:00,546.76300,8.89294,546.83532,-2.38355,1.95879,6.23209,0.62952,1.26060,10.77400,1.52814,-0.33411\\n2023-01-01T07:00:00,548.76000,8.77561,548.83016,-2.44846,2.01942,6.44499,0.66720,1.32637,10.79620,1.52806,-0.33470\\n2023-01-01T08:00:00,568.55900,5.35430,568.58421,-3.28875,2.81024,8.80241,1.03575,1.91845,10.81750,1.52798,-0.33529\\n2023-01-01T09:00:00,575.19300,3.52090,575.20378,-3.97863,3.43930,9.53319,1.20380,2.17869,10.83690,1.52791,-0.33589\\n2023-01-01T10:00:00,572.05100,3.21963,572.06006,-4.17327,3.58773,9.32707,1.12910,2.06602,10.85580,1.52783,-0.33648\\n2023-01-01T11:00:00,570.28400,1.84143,570.28697,-4.29914,3.68440,9.75793,1.05895,1.94971,10.87520,1.52775,-0.33707\\n2023-01-01T12:00:00,571.52000,-4.19166,571.53537,-4.30552,3.69775,11.64290,1.05794,1.93936,10.89480,1.52767,-0.33767\\n2023-01-01T13:00:00,571.01300,-7.97585,571.06870,-4.19236,3.59725,13.51050,1.06096,1.94808,10.91470,1.52759,-0.33826\\n2023-01-01T14:00:00,566.25500,-8.41832,566.31757,-4.04440,3.44127,13.26590,0.99853,1.86434,10.93440,1.52751,-0.33885\\n2023-01-01T15:00:00,558.71900,-9.41969,558.79840,-3.96754,3.33083,11.88000,0.87101,1.67030,10.95360,1.52743,-0.33945\\n2023-01-01T16:00:00,555.93500,-15.37530,556.14757,-3.96307,3.31039,10.69260,0.76406,1.47922,10.97290,1.52735,-0.34004\\n2023-01-01T17:00:00,559.20000,-17.79260,559.48299,-3.68536,3.09640,10.52160,0.72009,1.37751,10.99260,1.52727,-0.34063\\n2023-01-01T18:00:00,572.19400,-14.87770,572.38739,-2.85340,2.45302,8.76198,0.56908,1.04011,11.01260,1.52718,-0.34123\\n2023-01-01T19:00:00,573.84100,-6.55790,573.87847,-2.44018,2.10375,6.60208,0.45689,0.83073,11.03290,1.52710,-0.34182\\n2023-01-01T20:00:00,571.80800,-2.68224,571.81429,-2.16340,1.85846,5.71851,0.38223,0.70000,11.05350,1.52702,-0.34241\\n2023-01-01T21:00:00,571.51800,-2.09025,571.52182,-1.94483,1.66980,5.74334,0.36430,0.66785,11.07380,1.52694,-0.34301\\n2023-01-01T22:00:00,573.19600,-4.56258,573.21416,-1.69859,1.46262,7.13111,0.39246,0.71523,11.09380,1.52686,-0.34360\\n2023-01-01T23:00:00,573.28500,-13.54920,573.44509,-1.09309,0.94135,9.83422,0.50897,0.92681,11.11390,1.52678,-0.34420\\n2023-01-02T00:00:00,571.43100,-18.15990,571.71949,-0.54627,0.46890,10.04860,0.57841,1.05962,11.13440,1.52669,-0.34479\\n2023-01-02T01:00:00,567.08700,-17.71100,567.36350,-0.45361,0.38639,9.42612,0.52346,0.97374,11.15470,1.52661,-0.34538\\n2023-01-02T02:00:00,563.08800,-12.63310,563.22970,-0.54344,0.45963,7.90235,0.39370,0.74315,11.17470,1.52653,-0.34598\\n2023-01-02T03:00:00,562.88000,-10.03840,562.96951,-0.56687,0.47926,6.92166,0.31919,0.60306,11.19480,1.52644,-0.34657\\n2023-01-02T04:00:00,562.99300,-10.87500,563.09802,-0.50295,0.42529,6.80158,0.31817,0.60086,11.21510,1.52636,-0.34716\\n2023-01-02T05:00:00,564.40000,-14.66470,564.59048,-0.37710,0.31965,7.14934,0.38470,0.72266,11.23520,1.52628,-0.34776\\n2023-01-02T06:00:00,562.99900,-15.20680,563.20433,-0.36194,0.30603,7.20997,0.40353,0.76177,11.25520,1.52619,-0.34835\\n2023-01-02T07:00:00,559.28700,-13.76410,559.45634,-0.45087,0.37870,7.00860,0.37720,0.72164,11.27480,1.52611,-0.34894\\n2023-01-02T08:00:00,553.53400,-8.60860,553.60094,-0.65455,0.54411,6.29111,0.33792,0.66025,11.29440,1.52602,-0.34954\\n2023-01-02T09:00:00,550.59700,-5.90327,550.62865,-0.86679,0.71669,6.04434,0.34405,0.67949,11.31360,1.52594,-0.35013\\n2023-01-02T10:00:00,551.15300,-5.78167,551.18332,-0.96917,0.80212,5.96658,0.42033,0.82847,11.33300,1.52585,-0.35073\\n2023-01-02T11:00:00,550.97100,-6.63079,551.01090,-0.94782,0.78417,6.62172,0.47411,0.93507,11.35250,1.52577,-0.35132\\n2023-01-02T12:00:00,548.79900,-6.39754,548.83629,-0.90832,0.74850,6.70854,0.45590,0.90628,11.37190,1.52568,-0.35191\\n2023-01-02T13:00:00,545.06100,-3.02428,545.06939,-0.92648,0.75825,6.47462,0.37631,0.75845,11.39140,1.52560,-0.35251\\n2023-01-02T14:00:00,543.85500,3.78794,543.86819,-1.08773,0.88821,5.81655,0.32417,0.65625,11.41110,1.52551,-0.35310\\n2023-01-02T15:00:00,542.36000,6.51612,542.39914,-1.22779,0.99980,5.54243,0.30478,0.62035,11.43090,1.52543,-0.35370\\n2023-01-02T16:00:00,539.51800,6.79653,539.56081,-1.28863,1.04381,5.54869,0.30461,0.62654,11.45080,1.52534,-0.35429\\n2023-01-02T17:00:00,536.69700,5.87765,536.72918,-1.26371,1.01824,5.97362,0.33902,0.70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0.82648,-1.42395\\n2023-03-30T04:00:00,534.40300,8.83882,534.47609,2.01429,-1.53610,10.23910,0.55924,1.17227,62.17810,0.82593,-1.42429\\n2023-03-30T05:00:00,545.45100,8.29159,545.51402,1.98008,-1.54120,11.30790,0.60865,1.22472,62.20610,0.82538,-1.42464\\n2023-03-30T06:00:00,545.01300,6.65455,545.05362,1.83736,-1.42895,12.06530,0.59463,1.19855,62.23450,0.82483,-1.42499\\n2023-03-30T07:00:00,540.38600,3.61512,540.39809,1.66192,-1.28151,12.26730,0.56337,1.15518,62.26210,0.82428,-1.42533\\n2023-03-30T08:00:00,541.53800,-1.37421,541.53974,1.60408,-1.23953,13.32590,0.60849,1.24244,62.29000,0.82373,-1.42568\\n2023-03-30T09:00:00,551.85300,-9.53122,551.93530,1.63011,-1.28362,16.17790,0.78997,1.55280,62.32200,0.82318,-1.42602\\n2023-03-30T10:00:00,557.48900,-20.93820,557.88206,1.30057,-1.03457,17.90340,0.95154,1.83073,62.34930,0.82263,-1.42637\\n2023-03-30T11:00:00,561.95800,-25.48160,562.53543,0.79605,-0.63830,17.96750,0.96578,1.82752,62.37560,0.82208,-1.42671\\n2023-03-30T12:00:00,565.63800,-24.51370,566.16894,0.86649,-0.69932,16.98610,0.74396,1.38976,62.40240,0.82153,-1.42706\\n2023-03-30T13:00:00,568.96500,-15.76820,569.18346,1.47678,-1.19886,14.43160,0.51885,0.95901,62.42870,0.82098,-1.42740\\n2023-03-30T14:00:00,565.68000,-8.37749,565.74203,1.67101,-1.34869,12.22780,0.40092,0.75007,62.45500,0.82043,-1.42775\\n2023-03-30T15:00:00,557.48300,-5.35707,557.50874,1.67742,-1.33422,11.03430,0.33841,0.65196,62.48150,0.81988,-1.42809\\n2023-03-30T16:00:00,550.85600,-4.10391,550.87129,1.63939,-1.28846,10.36810,0.30911,0.60994,62.50740,0.81933,-1.42844\\n2023-03-30T17:00:00,546.83600,-3.32601,546.84611,1.60863,-1.25503,10.19340,0.30034,0.60140,62.53310,0.81878,-1.42878\\n2023-03-30T18:00:00,545.43800,-2.75122,545.44494,1.64191,-1.27770,10.22640,0.30720,0.61831,62.55980,0.81823,-1.42913\\n2023-03-30T19:00:00,543.39600,-2.60773,543.40226,1.67329,-1.29723,10.40510,0.31816,0.64520,62.58830,0.81768,-1.42947\\n2023-03-30T20:00:00,539.29300,-2.90418,539.30082,1.63840,-1.26057,10.77950,0.33203,0.68360,62.61680,0.81713,-1.42981\\n2023-03-30T21:00:00,533.50900,-4.67461,533.52948,1.51444,-1.15268,11.40910,0.35918,0.75559,62.64460,0.81658,-1.43016\\n2023-03-30T22:00:00,526.26600,-8.45843,526.33397,1.26179,-0.94733,12.01030,0.41539,0.89787,62.67070,0.81603,-1.43050\\n2023-03-30T23:00:00,521.71400,-10.08450,521.81146,0.92439,-0.68800,11.90760,0.44085,0.96949,62.69630,0.81548,-1.43084\\n2023-03-31T00:00:00,519.63100,-9.74342,519.72234,0.81919,-0.60727,11.04150,0.41810,0.92688,62.72120,0.81492,-1.43118\\n2023-03-31T01:00:00,524.88700,-4.61327,524.90727,0.97276,-0.72839,10.04300,0.37314,0.81094,62.74620,0.81437,-1.43152\\n2023-03-31T02:00:00,541.48600,1.35552,541.48770,1.02387,-0.79089,9.25026,0.32770,0.66924,62.77030,0.81382,-1.43187\\n2023-03-31T03:00:00,549.63800,3.05701,549.64650,0.88842,-0.69658,8.75422,0.28412,0.56315,62.79480,0.81327,-1.43221\\n2023-03-31T04:00:00,549.12500,4.23318,549.14132,0.82917,-0.64951,8.37550,0.24795,0.49235,62.82000,0.81272,-1.43255\\n2023-03-31T05:00:00,543.96700,6.93916,544.01126,0.83750,-0.64986,7.70629,0.21372,0.43243,62.84350,0.81216,-1.43289\\n2023-03-31T06:00:00,542.44500,12.44670,542.58778,0.99538,-0.77020,7.10960,0.20194,0.41075,62.86630,0.81161,-1.43323\\n2023-03-31T07:00:00,540.62300,16.49420,540.87456,1.11421,-0.85924,6.60078,0.18825,0.38532,62.88970,0.81106,-1.43357\\n2023-03-31T08:00:00,536.58300,18.32400,536.89579,1.10910,-0.84889,6.14594,0.16874,0.35053,62.91300,0.81051,-1.43391\\n2023-03-31T09:00:00,530.26300,19.17490,530.60958,1.03959,-0.78631,5.67944,0.14432,0.30694,62.93640,0.80995,-1.43425\\n2023-03-31T10:00:00,523.01200,19.79710,523.38655,0.94178,-0.70258,5.33574,0.12627,0.27601,62.95950,0.80940,-1.43459\\n2023-03-31T11:00:00,516.78600,20.49230,517.19213,0.87628,-0.64592,5.10555,0.11336,0.25377,62.98290,0.80885,-1.43493\\n2023-03-31T12:00:00,512.68700,21.77120,513.14905,0.87501,-0.63986,5.06322,0.11008,0.25033,63.00690,0.80830,-1.43527\\n2023-03-31T13:00:00,514.16600,24.50910,514.74981,0.97558,-0.71545,5.24911,0.12106,0.27358,63.03110,0.80774,-1.43561\\n2023-03-31T14:00:00,520.26000,25.76790,520.89774,1.21004,-0.89790,5.62582,0.14727,0.32500,63.05490,0.80719,-1.43595\\n2023-03-31T15:00:00,520.20200,25.49270,520.82627,1.35390,-1.00452,5.43658,0.16601,0.36647,63.07870,0.80664,-1.43629\\n2023-03-31T16:00:00,516.20100,23.34420,516.72858,1.40254,-1.03259,4.98764,0.17894,0.40131,63.10370,0.80608,-1.43663\\n2023-03-31T17:00:00,514.34900,17.98270,514.66326,1.50578,-1.10460,4.74950,0.19921,0.45036,63.12970,0.80553,-1.43697\\n2023-03-31T18:00:00,515.27500,12.27850,515.42127,1.68092,-1.23528,4.79119,0.22569,0.50870,63.15520,0.80497,-1.43730\\n2023-03-31T19:00:00,516.92400,8.88399,517.00034,1.87100,-1.37935,5.18655,0.24197,0.54208,63.18140,0.80442,-1.43764\\n2023-03-31T20:00:00,517.86600,7.23857,517.91659,2.05016,-1.51416,5.53934,0.25194,0.56242,63.20690,0.80387,-1.43798\\n2023-03-31T21:00:00,518.86900,6.32393,518.90754,2.24329,-1.65998,5.77893,0.26630,0.59222,63.23300,0.80331,-1.43832\\n2023-03-31T22:00:00,519.32000,5.89804,519.35349,2.43965,-1.80683,5.74984,0.29722,0.65983,63.25870,0.80276,-1.43865\\n2023-03-31T23:00:00,517.32800,5.84618,517.36103,2.57314,-1.89836,5.47295,0.34682,0.77590,63.28480,0.80220,-1.43899\\n'"
  329 + ]
  330 + },
  331 + "execution_count": 25,
  332 + "metadata": {},
  333 + "output_type": "execute_result"
  334 + }
  335 + ],
  336 + "source": [
  337 + "generate_csv_content_spz('mars', 'om', '20230101', '20230115')"
  338 + ]
373 339 }
374 340 ],
375 341 "metadata": {
... ...