|
117 | 117 | "\n", |
118 | 118 | "import df2img\n", |
119 | 119 | "\n", |
120 | | - "\n", |
121 | 120 | "df = pd.DataFrame(\n", |
122 | | - " data=dict(\n", |
123 | | - " float_col=[1.4, float(\"NaN\"), 250, 24.65],\n", |
124 | | - " str_col=(\"string1\", \"string2\", float(\"NaN\"), \"string4\"),\n", |
125 | | - " ),\n", |
| 121 | + " data={\n", |
| 122 | + " \"float_col\": [1.4, float(\"NaN\"), 250, 24.65],\n", |
| 123 | + " \"str_col\": (\"string1\", \"string2\", float(\"NaN\"), \"string4\"),\n", |
| 124 | + " },\n", |
126 | 125 | " index=[\"row1\", \"row2\", \"row3\", \"row4\"],\n", |
127 | 126 | ")\n", |
128 | 127 | "\n", |
|
175 | 174 | } |
176 | 175 | ], |
177 | 176 | "source": [ |
178 | | - "fig=df2img.plot_dataframe(\n", |
| 177 | + "fig = df2img.plot_dataframe(\n", |
179 | 178 | " df,\n", |
180 | | - " title=dict(\n", |
181 | | - " text=\"This is a title starting at the x-value x=0.1\",\n", |
182 | | - " font_color=\"darkred\",\n", |
183 | | - " font_size=20,\n", |
184 | | - " font_family=\"Times New Roman\",\n", |
185 | | - " x=0.1,\n", |
186 | | - " xanchor=\"left\",\n", |
187 | | - " ),\n", |
| 179 | + " title={\n", |
| 180 | + " \"text\": \"This is a title starting at the x-value x=0.1\",\n", |
| 181 | + " \"font_color\": \"darkred\",\n", |
| 182 | + " \"font_size\": 20,\n", |
| 183 | + " \"font_family\": \"Times New Roman\",\n", |
| 184 | + " \"x\": 0.1,\n", |
| 185 | + " \"xanchor\": \"left\",\n", |
| 186 | + " },\n", |
188 | 187 | " fig_size=(600, 140),\n", |
189 | 188 | ")" |
190 | 189 | ] |
|
222 | 221 | } |
223 | 222 | ], |
224 | 223 | "source": [ |
225 | | - "fig=df2img.plot_dataframe(\n", |
| 224 | + "fig = df2img.plot_dataframe(\n", |
226 | 225 | " df,\n", |
227 | 226 | " tbl_header_visible=True, # default value\n", |
228 | | - " fig_size=(600, 140)\n", |
| 227 | + " fig_size=(600, 140),\n", |
229 | 228 | ")" |
230 | 229 | ] |
231 | 230 | }, |
|
248 | 247 | } |
249 | 248 | ], |
250 | 249 | "source": [ |
251 | | - "fig=df2img.plot_dataframe(\n", |
252 | | - " df,\n", |
253 | | - " tbl_header_visible=False,\n", |
254 | | - " fig_size=(600, 140)\n", |
255 | | - ")" |
| 250 | + "fig = df2img.plot_dataframe(df, tbl_header_visible=False, fig_size=(600, 140))" |
256 | 251 | ] |
257 | 252 | }, |
258 | 253 | { |
|
294 | 289 | "source": [ |
295 | 290 | "fig = df2img.plot_dataframe(\n", |
296 | 291 | " df,\n", |
297 | | - " tbl_header=dict(\n", |
298 | | - " align=\"left\",\n", |
299 | | - " fill_color=\"blue\",\n", |
300 | | - " font_color=\"white\",\n", |
301 | | - " font_size=14,\n", |
302 | | - " ),\n", |
| 292 | + " tbl_header={\n", |
| 293 | + " \"align\": \"left\",\n", |
| 294 | + " \"fill_color\": \"blue\",\n", |
| 295 | + " \"font_color\": \"white\",\n", |
| 296 | + " \"font_size\": 14,\n", |
| 297 | + " },\n", |
303 | 298 | " fig_size=(600, 140),\n", |
304 | 299 | ")" |
305 | 300 | ] |
|
342 | 337 | "source": [ |
343 | 338 | "fig = df2img.plot_dataframe(\n", |
344 | 339 | " df,\n", |
345 | | - " tbl_cells=dict(\n", |
346 | | - " align=\"right\",\n", |
347 | | - " fill_color=\"green\",\n", |
348 | | - " font_color=\"yellow\",\n", |
349 | | - " ),\n", |
| 340 | + " tbl_cells={\n", |
| 341 | + " \"align\": \"right\",\n", |
| 342 | + " \"fill_color\": \"green\",\n", |
| 343 | + " \"font_color\": \"yellow\",\n", |
| 344 | + " },\n", |
350 | 345 | " fig_size=(600, 140),\n", |
351 | 346 | ")" |
352 | 347 | ] |
|
384 | 379 | "source": [ |
385 | 380 | "fig = df2img.plot_dataframe(\n", |
386 | 381 | " df,\n", |
387 | | - " tbl_header=dict(\n", |
388 | | - " height=50,\n", |
389 | | - " line_width=3,\n", |
390 | | - " ),\n", |
391 | | - " tbl_cells=dict(\n", |
392 | | - " align=\"right\",\n", |
393 | | - " fill_color=\"green\",\n", |
394 | | - " font_color=\"yellow\",\n", |
395 | | - " height=40,\n", |
396 | | - " line_width=3,\n", |
397 | | - " ),\n", |
| 382 | + " tbl_header={\n", |
| 383 | + " \"height\": 50,\n", |
| 384 | + " \"line_width\": 3,\n", |
| 385 | + " },\n", |
| 386 | + " tbl_cells={\n", |
| 387 | + " \"align\": \"right\",\n", |
| 388 | + " \"fill_color\": \"green\",\n", |
| 389 | + " \"font_color\": \"yellow\",\n", |
| 390 | + " \"height\": 40,\n", |
| 391 | + " \"line_width\": 3,\n", |
| 392 | + " },\n", |
398 | 393 | " fig_size=(600, 140),\n", |
399 | | - ")\n" |
| 394 | + ")" |
400 | 395 | ] |
401 | 396 | }, |
402 | 397 | { |
|
437 | 432 | " df,\n", |
438 | 433 | " row_fill_color=(\"#ffffff\", \"#d7d8d6\"),\n", |
439 | 434 | " fig_size=(600, 140),\n", |
440 | | - ")\n" |
| 435 | + ")" |
441 | 436 | ] |
442 | 437 | }, |
443 | 438 | { |
|
479 | 474 | " df,\n", |
480 | 475 | " col_width=[3, 2, 1],\n", |
481 | 476 | " fig_size=(600, 140),\n", |
482 | | - ")\n" |
| 477 | + ")" |
483 | 478 | ] |
484 | 479 | }, |
485 | 480 | { |
|
519 | 514 | " df,\n", |
520 | 515 | " col_width=[0.5, 1, 0.5],\n", |
521 | 516 | " fig_size=(600, 140),\n", |
522 | | - ")\n" |
| 517 | + ")" |
523 | 518 | ] |
524 | 519 | }, |
525 | 520 | { |
|
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