This commit is contained in:
lda committed 2025-05-10 20:52:55 +07:00
1 parent 74f7676416
commit 613789c6b5
1 file changed
+22 -206
+22 -206
View File
@@ -934,216 +934,14 @@
},
{
"cell_type": "code",
"execution_count": 285,
"execution_count": null,
"id": "66761406",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['magma',\n",
" 'inferno',\n",
" 'plasma',\n",
" 'viridis',\n",
" 'cividis',\n",
" 'twilight',\n",
" 'twilight_shifted',\n",
" 'turbo',\n",
" 'berlin',\n",
" 'managua',\n",
" 'vanimo',\n",
" 'Blues',\n",
" 'BrBG',\n",
" 'BuGn',\n",
" 'BuPu',\n",
" 'CMRmap',\n",
" 'GnBu',\n",
" 'Greens',\n",
" 'Greys',\n",
" 'OrRd',\n",
" 'Oranges',\n",
" 'PRGn',\n",
" 'PiYG',\n",
" 'PuBu',\n",
" 'PuBuGn',\n",
" 'PuOr',\n",
" 'PuRd',\n",
" 'Purples',\n",
" 'RdBu',\n",
" 'RdGy',\n",
" 'RdPu',\n",
" 'RdYlBu',\n",
" 'RdYlGn',\n",
" 'Reds',\n",
" 'Spectral',\n",
" 'Wistia',\n",
" 'YlGn',\n",
" 'YlGnBu',\n",
" 'YlOrBr',\n",
" 'YlOrRd',\n",
" 'afmhot',\n",
" 'autumn',\n",
" 'binary',\n",
" 'bone',\n",
" 'brg',\n",
" 'bwr',\n",
" 'cool',\n",
" 'coolwarm',\n",
" 'copper',\n",
" 'cubehelix',\n",
" 'flag',\n",
" 'gist_earth',\n",
" 'gist_gray',\n",
" 'gist_heat',\n",
" 'gist_ncar',\n",
" 'gist_rainbow',\n",
" 'gist_stern',\n",
" 'gist_yarg',\n",
" 'gnuplot',\n",
" 'gnuplot2',\n",
" 'gray',\n",
" 'hot',\n",
" 'hsv',\n",
" 'jet',\n",
" 'nipy_spectral',\n",
" 'ocean',\n",
" 'pink',\n",
" 'prism',\n",
" 'rainbow',\n",
" 'seismic',\n",
" 'spring',\n",
" 'summer',\n",
" 'terrain',\n",
" 'winter',\n",
" 'Accent',\n",
" 'Dark2',\n",
" 'Paired',\n",
" 'Pastel1',\n",
" 'Pastel2',\n",
" 'Set1',\n",
" 'Set2',\n",
" 'Set3',\n",
" 'tab10',\n",
" 'tab20',\n",
" 'tab20b',\n",
" 'tab20c',\n",
" 'grey',\n",
" 'gist_grey',\n",
" 'gist_yerg',\n",
" 'Grays',\n",
" 'magma_r',\n",
" 'inferno_r',\n",
" 'plasma_r',\n",
" 'viridis_r',\n",
" 'cividis_r',\n",
" 'twilight_r',\n",
" 'twilight_shifted_r',\n",
" 'turbo_r',\n",
" 'berlin_r',\n",
" 'managua_r',\n",
" 'vanimo_r',\n",
" 'Blues_r',\n",
" 'BrBG_r',\n",
" 'BuGn_r',\n",
" 'BuPu_r',\n",
" 'CMRmap_r',\n",
" 'GnBu_r',\n",
" 'Greens_r',\n",
" 'Greys_r',\n",
" 'OrRd_r',\n",
" 'Oranges_r',\n",
" 'PRGn_r',\n",
" 'PiYG_r',\n",
" 'PuBu_r',\n",
" 'PuBuGn_r',\n",
" 'PuOr_r',\n",
" 'PuRd_r',\n",
" 'Purples_r',\n",
" 'RdBu_r',\n",
" 'RdGy_r',\n",
" 'RdPu_r',\n",
" 'RdYlBu_r',\n",
" 'RdYlGn_r',\n",
" 'Reds_r',\n",
" 'Spectral_r',\n",
" 'Wistia_r',\n",
" 'YlGn_r',\n",
" 'YlGnBu_r',\n",
" 'YlOrBr_r',\n",
" 'YlOrRd_r',\n",
" 'afmhot_r',\n",
" 'autumn_r',\n",
" 'binary_r',\n",
" 'bone_r',\n",
" 'brg_r',\n",
" 'bwr_r',\n",
" 'cool_r',\n",
" 'coolwarm_r',\n",
" 'copper_r',\n",
" 'cubehelix_r',\n",
" 'flag_r',\n",
" 'gist_earth_r',\n",
" 'gist_gray_r',\n",
" 'gist_heat_r',\n",
" 'gist_ncar_r',\n",
" 'gist_rainbow_r',\n",
" 'gist_stern_r',\n",
" 'gist_yarg_r',\n",
" 'gnuplot_r',\n",
" 'gnuplot2_r',\n",
" 'gray_r',\n",
" 'hot_r',\n",
" 'hsv_r',\n",
" 'jet_r',\n",
" 'nipy_spectral_r',\n",
" 'ocean_r',\n",
" 'pink_r',\n",
" 'prism_r',\n",
" 'rainbow_r',\n",
" 'seismic_r',\n",
" 'spring_r',\n",
" 'summer_r',\n",
" 'terrain_r',\n",
" 'winter_r',\n",
" 'Accent_r',\n",
" 'Dark2_r',\n",
" 'Paired_r',\n",
" 'Pastel1_r',\n",
" 'Pastel2_r',\n",
" 'Set1_r',\n",
" 'Set2_r',\n",
" 'Set3_r',\n",
" 'tab10_r',\n",
" 'tab20_r',\n",
" 'tab20b_r',\n",
" 'tab20c_r',\n",
" 'grey_r',\n",
" 'gist_grey_r',\n",
" 'gist_yerg_r',\n",
" 'Grays_r',\n",
" 'rocket',\n",
" 'rocket_r',\n",
" 'mako',\n",
" 'mako_r',\n",
" 'icefire',\n",
" 'icefire_r',\n",
" 'vlag',\n",
" 'vlag_r',\n",
" 'flare',\n",
" 'flare_r',\n",
" 'crest',\n",
" 'crest_r']"
]
},
"execution_count": 285,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"from matplotlib import colormaps\n",
"# from matplotlib import colormaps\n",
"\n",
"list(colormaps)"
"# list(colormaps)"
]
},
{
@@ -1238,6 +1036,24 @@
" data.drop(columns=features_to_drop, inplace=True)\n",
" features_to_drop.clear()"
]
},
{
"cell_type": "markdown",
"id": "6c573cd1",
"metadata": {},
"source": [
" plan:\n",
"\n",
"complete data analysis (to match the slides)\n",
"\n",
" use dataset to automate dataset:\n",
"\n",
"`return data[i-20:i], data[i]` or some shit\n",
"\n",
"build a model probably similar to `pytorch_port.LSTMModel`\n",
"\n",
"impl **autoregressive forecasting**"
]
}
],
"metadata": {