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clean up notebook #1196

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Nov 19, 2024
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clean up notebook #1196

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68 changes: 31 additions & 37 deletions pcmdi_metrics/graphics/demo/variability_modes_plots_all-stats.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -64,7 +64,7 @@
},
{
"cell_type": "code",
"execution_count": 56,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -95,7 +95,7 @@
},
{
"cell_type": "code",
"execution_count": 57,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -116,7 +116,7 @@
},
{
"cell_type": "code",
"execution_count": 58,
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -146,7 +146,7 @@
},
{
"cell_type": "code",
"execution_count": 59,
"execution_count": 5,
"metadata": {},
"outputs": [
{
Expand All @@ -164,14 +164,14 @@
}
],
"source": [
"json_list = sorted(glob.glob(os.path.join(json_dir, '*' + mip + '*' + '.json')))\n",
"json_list = sorted(glob.glob(os.path.join(json_dir, 'var_mode_*' + mip + '*' + '.json')))\n",
"for json_file in json_list:\n",
" print(json_file.split('/')[-1])"
]
},
{
"cell_type": "code",
"execution_count": 60,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -188,37 +188,32 @@
},
{
"cell_type": "code",
"execution_count": 61,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def dict_to_df(cmip_result_dict):\n",
" models = sorted(list(cmip_result_dict['NAM'].keys()))\n",
" #print(models)\n",
"\n",
" df = pd.DataFrame()\n",
" df['model'] = models\n",
" df['num_runs'] = np.nan\n",
" \n",
" mode_season_list = list()\n",
"\n",
" models_ens = list()\n",
" modes = ['SAM', 'NAM', 'NAO', 'NPO', 'PNA', 'NPGO', 'PDO']\n",
" for mode in modes:\n",
" #print(mode)\n",
" if mode in ['PDO', 'NPGO']:\n",
" seasons = ['monthly']\n",
" else:\n",
" seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
"\n",
" for season in seasons:\n",
" #print(mode, season)\n",
" df[mode+\"_\"+season] = np.nan\n",
" mode_season_list.append(mode+\"_\"+season)\n",
" for index, model in enumerate(models):\n",
" if model in list(cmip_result_dict[mode].keys()):\n",
" runs = sort_human(list(cmip_result_dict[mode][model].keys()))\n",
" #print(model, runs)\n",
" stat_run_list = list()\n",
" for run in runs:\n",
" stat_run = cmip_result_dict[mode][model][run]['defaultReference'][mode][season]['cbf'][stat]\n",
Expand All @@ -231,13 +226,12 @@
" else:\n",
" stat_model = np.nan\n",
" num_runs = 0\n",
" #print(mode, season, model, num_runs, stat_model)\n",
" return df, mode_season_list"
]
},
{
"cell_type": "code",
"execution_count": 62,
"execution_count": 8,
"metadata": {},
"outputs": [
{
Expand Down Expand Up @@ -610,7 +604,7 @@
"[65 rows x 24 columns]"
]
},
"execution_count": 62,
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -622,7 +616,7 @@
},
{
"cell_type": "code",
"execution_count": 64,
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -631,7 +625,7 @@
},
{
"cell_type": "code",
"execution_count": 65,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -647,7 +641,7 @@
},
{
"cell_type": "code",
"execution_count": 67,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -664,7 +658,7 @@
},
{
"cell_type": "code",
"execution_count": 68,
"execution_count": 12,
"metadata": {},
"outputs": [
{
Expand All @@ -687,7 +681,7 @@
},
{
"cell_type": "code",
"execution_count": 69,
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -717,7 +711,7 @@
},
{
"cell_type": "code",
"execution_count": 70,
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -731,7 +725,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -752,7 +746,7 @@
},
{
"cell_type": "code",
"execution_count": 72,
"execution_count": 16,
"metadata": {},
"outputs": [
{
Expand All @@ -761,7 +755,7 @@
"(22, 65)"
]
},
"execution_count": 72,
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -781,7 +775,7 @@
},
{
"cell_type": "code",
"execution_count": 73,
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -797,7 +791,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 18,
"metadata": {},
"outputs": [
{
Expand All @@ -806,7 +800,7 @@
"Text(0.5, 1.0, 'Variability Modes: RMSE')"
]
},
"execution_count": 107,
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
Expand Down Expand Up @@ -847,7 +841,7 @@
},
{
"cell_type": "code",
"execution_count": 75,
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -866,7 +860,7 @@
},
{
"cell_type": "code",
"execution_count": 76,
"execution_count": 20,
"metadata": {},
"outputs": [
{
Expand Down Expand Up @@ -902,7 +896,7 @@
},
{
"cell_type": "code",
"execution_count": 77,
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -918,7 +912,7 @@
},
{
"cell_type": "code",
"execution_count": 78,
"execution_count": 22,
"metadata": {},
"outputs": [
{
Expand Down Expand Up @@ -948,7 +942,7 @@
" Text(21, 0, 'PDO_monthly')]"
]
},
"execution_count": 78,
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
Expand Down Expand Up @@ -983,7 +977,7 @@
},
{
"cell_type": "code",
"execution_count": 79,
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -1000,7 +994,7 @@
},
{
"cell_type": "code",
"execution_count": 87,
"execution_count": 24,
"metadata": {},
"outputs": [
{
Expand Down Expand Up @@ -1030,7 +1024,7 @@
" Text(21, 0, 'PDO_monthly')]"
]
},
"execution_count": 87,
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
Expand Down Expand Up @@ -1070,7 +1064,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "pmp_devel_20241106_xcdat0.7.3",
"display_name": "pmp_devel_20241118_numpy2",
"language": "python",
"name": "python3"
},
Expand Down
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