|
314 | 314 | )
|
315 | 315 | fig.write_html(os.path.join(dir_name, "line_ternary.html"))
|
316 | 316 |
|
317 |
| -# #### 3D Coordinates |
318 |
| - |
319 |
| -import plotly.express as px |
320 |
| - |
321 |
| -election = px.data.election() |
322 |
| -fig = px.scatter_3d( |
323 |
| - election, |
324 |
| - x="Joly", |
325 |
| - y="Coderre", |
326 |
| - z="Bergeron", |
327 |
| - color="winner", |
328 |
| - size="total", |
329 |
| - hover_name="district", |
330 |
| - symbol="result", |
331 |
| - color_discrete_map={"Joly": "blue", "Bergeron": "green", "Coderre": "red"}, |
332 |
| -) |
333 |
| -fig.write_html(os.path.join(dir_name, "scatter_3d.html")) |
334 |
| - |
335 |
| -import plotly.express as px |
336 |
| - |
337 |
| -election = px.data.election() |
338 |
| -fig = px.line_3d( |
339 |
| - election, x="Joly", y="Coderre", z="Bergeron", color="winner", line_dash="winner" |
340 |
| -) |
341 |
| -fig.write_html(os.path.join(dir_name, "line_3d.html")) |
342 | 317 |
|
343 | 318 | # #### Polar Coordinates
|
344 | 319 |
|
|
385 | 360 |
|
386 | 361 | import plotly.express as px
|
387 | 362 |
|
388 |
| -carshare = px.data.carshare() |
389 |
| -fig = px.scatter_mapbox( |
390 |
| - carshare, |
391 |
| - lat="centroid_lat", |
392 |
| - lon="centroid_lon", |
393 |
| - color="peak_hour", |
394 |
| - size="car_hours", |
395 |
| - color_continuous_scale=px.colors.cyclical.IceFire, |
396 |
| - size_max=15, |
397 |
| - zoom=10, |
398 |
| -) |
399 |
| -fig.write_html(os.path.join(dir_name, "scatter_mapbox.html")) |
400 |
| - |
401 |
| -import plotly.express as px |
402 |
| - |
403 |
| -carshare = px.data.carshare() |
404 |
| -fig = px.line_mapbox( |
405 |
| - carshare, lat="centroid_lat", lon="centroid_lon", color="peak_hour" |
406 |
| -) |
407 |
| -fig.write_html(os.path.join(dir_name, "line_mapbox.html")) |
408 |
| - |
409 |
| -import plotly.express as px |
410 |
| - |
411 | 363 | gapminder = px.data.gapminder()
|
412 | 364 | fig = px.scatter_geo(
|
413 | 365 | gapminder,
|
|
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