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21 | 21 | },
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22 | 22 | {
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23 | 23 | "cell_type": "code",
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24 |
| - "execution_count": 26, |
| 24 | + "execution_count": 6, |
25 | 25 | "metadata": {
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26 | 26 | "id": "MzXO6CCo8fBB"
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27 | 27 | },
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47 | 47 | },
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48 | 48 | {
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49 | 49 | "cell_type": "code",
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50 |
| - "execution_count": 27, |
| 50 | + "execution_count": 7, |
51 | 51 | "metadata": {
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52 | 52 | "id": "lPXeCVINQAnE"
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53 | 53 | },
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118 | 118 | },
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119 | 119 | {
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120 | 120 | "cell_type": "code",
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121 |
| - "execution_count": 28, |
| 121 | + "execution_count": 8, |
122 | 122 | "metadata": {
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123 | 123 | "id": "oERpoUU-QVWn"
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124 | 124 | },
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165 | 165 | },
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166 | 166 | {
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167 | 167 | "cell_type": "code",
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168 |
| - "execution_count": 50, |
| 168 | + "execution_count": 9, |
169 | 169 | "metadata": {
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170 | 170 | "id": "unR8P_Ij94t3"
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171 | 171 | },
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240 | 240 | "we = widgets.IntSlider(value=90,min=0,max=90,step=1,description=\"Elev.\",continuous_update=False)\n",
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241 | 241 | "\n",
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242 | 242 | "out = interactive_output(plot_model, {\"dataset\":wd,\"N\":wn,\"degree\":wdeg,\"log_lambda\":wlambda,\"learn\":wl,\"azim\":wa,\"elev\":we});\n",
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243 |
| - "out.layout.height = '400px'\n", |
| 243 | + "#out.layout.height = '400px'\n", |
244 | 244 | "box1=widgets.HBox([wd,wn,wl])\n",
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245 | 245 | "box2=widgets.HBox([wdeg,wlambda])\n",
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246 | 246 | "box3=widgets.HBox([wa,we])\n",
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259 | 259 | },
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260 | 260 | {
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261 | 261 | "cell_type": "code",
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262 |
| - "execution_count": 51, |
| 262 | + "execution_count": 10, |
263 | 263 | "metadata": {
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264 | 264 | "colab": {
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265 | 265 | "base_uri": "https://localhost:8080/",
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297 | 297 | {
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298 | 298 | "data": {
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299 | 299 | "application/vnd.jupyter.widget-view+json": {
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300 |
| - "model_id": "d8ad877fbd4844aba1ec369c065d6472", |
| 300 | + "model_id": "32a6df0e638642b2834c8218caa434c6", |
301 | 301 | "version_major": 2,
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302 | 302 | "version_minor": 0
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303 | 303 | },
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304 | 304 | "text/plain": [
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305 |
| - "Output(layout=Layout(height='400px'), outputs=({'output_type': 'display_data', 'data': {'text/plain': '<Figure…" |
| 305 | + "VBox(children=(HBox(children=(Dropdown(description='Dataset', options=('Dataset 1', 'Dataset 2', 'Dataset 3', …" |
306 | 306 | ]
|
307 | 307 | },
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308 | 308 | "metadata": {},
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311 | 311 | {
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312 | 312 | "data": {
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313 | 313 | "application/vnd.jupyter.widget-view+json": {
|
314 |
| - "model_id": "6e962ee3e7ad4190bba727d7e77b2682", |
| 314 | + "model_id": "b9824d6078ec49afacdbf00e2cbe5830", |
315 | 315 | "version_major": 2,
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316 | 316 | "version_minor": 0
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317 | 317 | },
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318 | 318 | "text/plain": [
|
319 |
| - "VBox(children=(HBox(children=(Dropdown(description='Dataset', options=('Dataset 1', 'Dataset 2', 'Dataset 3', …" |
| 319 | + "Output(outputs=({'output_type': 'display_data', 'data': {'text/plain': '<Figure size 1600x600 with 2 Axes>', '…" |
320 | 320 | ]
|
321 | 321 | },
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322 | 322 | "metadata": {},
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364 | 364 | "name": "python",
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365 | 365 | "nbconvert_exporter": "python",
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366 | 366 | "pygments_lexer": "ipython3",
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367 |
| - "version": "3.9.7" |
| 367 | + "version": "3.11.5" |
368 | 368 | },
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369 | 369 | "widgets": {
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370 | 370 | "application/vnd.jupyter.widget-state+json": {
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