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286 | 286 | # Data of four earthquakes taken from USGS.
|
287 | 287 | # Provide lists.
|
288 | 288 |
|
289 |
| -# Set up a dictionary |
290 |
| -aki_dict_multiple = { |
291 |
| - "strike": [255, 173, 295, 318], |
292 |
| - "dip": [70, 68, 79, 89], |
293 |
| - "rake": [20, 83, -177, -179], |
294 |
| - "magnitude": [7.0, 5.8, 6.0, 7.8], |
295 |
| - "longitude": [-72.53, -79.61, 69.46, 37.01], |
296 |
| - "latitude": [18.44, 0.90, 33.02, 37.23], |
297 |
| - "depth": [13, 19, 4, 10], |
298 |
| - "plot_longitude": [-70, -110, 100, 0], |
299 |
| - "plot_latitude": [40, 10, 50, 55], |
300 |
| - "event_name": [ |
301 |
| - "Haiti - 2010/01/12", |
302 |
| - "Esmeraldas - 2022/03/27", |
303 |
| - "Afghanistan - 2022/06/21", |
304 |
| - "Syria/Turkey - 2023/02/06", |
305 |
| - ], |
306 |
| -} |
307 |
| -# Convert to a pandas.DataFrame |
308 |
| -aki_df_multiple = pd.DataFrame(aki_dict_multiple) |
| 289 | +# Set up a pandas.DataFrame with multiple focal mechanism parameters. |
| 290 | +aki_df_multiple = pd.DataFrame( |
| 291 | + { |
| 292 | + "strike": [255, 173, 295, 318], |
| 293 | + "dip": [70, 68, 79, 89], |
| 294 | + "rake": [20, 83, -177, -179], |
| 295 | + "magnitude": [7.0, 5.8, 6.0, 7.8], |
| 296 | + "longitude": [-72.53, -79.61, 69.46, 37.01], |
| 297 | + "latitude": [18.44, 0.90, 33.02, 37.23], |
| 298 | + "depth": [13, 19, 4, 10], |
| 299 | + "plot_longitude": [-70, -110, 100, 0], |
| 300 | + "plot_latitude": [40, 10, 50, 55], |
| 301 | + "event_name": [ |
| 302 | + "Haiti - 2010/01/12", |
| 303 | + "Esmeraldas - 2022/03/27", |
| 304 | + "Afghanistan - 2022/06/21", |
| 305 | + "Syria/Turkey - 2023/02/06", |
| 306 | + ], |
| 307 | + } |
| 308 | +) |
309 | 309 |
|
310 | 310 |
|
311 | 311 | # %%
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|
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