| 531 | return verts |
| 532 | |
| 533 | def example_data(): |
| 534 | # The following data is from the Denver Aerosol Sources and Health study. |
| 535 | # See doi:10.1016/j.atmosenv.2008.12.017 |
| 536 | # |
| 537 | # The data are pollution source profile estimates for five modeled |
| 538 | # pollution sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical |
| 539 | # species. The radar charts are experimented with here to see if we can |
| 540 | # nicely visualize how the modeled source profiles change across four |
| 541 | # scenarios: |
| 542 | # 1) No gas-phase species present, just seven particulate counts on |
| 543 | # Sulfate |
| 544 | # Nitrate |
| 545 | # Elemental Carbon (EC) |
| 546 | # Organic Carbon fraction 1 (OC) |
| 547 | # Organic Carbon fraction 2 (OC2) |
| 548 | # Organic Carbon fraction 3 (OC3) |
| 549 | # Pyrolized Organic Carbon (OP) |
| 550 | # 2)Inclusion of gas-phase specie carbon monoxide (CO) |
| 551 | # 3)Inclusion of gas-phase specie ozone (O3). |
| 552 | # 4)Inclusion of both gas-phase species is present... |
| 553 | data = [ |
| 554 | ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'], |
| 555 | ('Basecase', [ |
| 556 | [0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00], |
| 557 | [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00], |
| 558 | [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00], |
| 559 | [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00], |
| 560 | [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]]), |
| 561 | ('With CO', [ |
| 562 | [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00], |
| 563 | [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00], |
| 564 | [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00], |
| 565 | [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00], |
| 566 | [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]]), |
| 567 | ('With O3', [ |
| 568 | [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03], |
| 569 | [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00], |
| 570 | [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00], |
| 571 | [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95], |
| 572 | [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]]), |
| 573 | ('CO & O3', [ |
| 574 | [0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01], |
| 575 | [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00], |
| 576 | [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00], |
| 577 | [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88], |
| 578 | [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]]) |
| 579 | ] |
| 580 | return data |
| 581 | |
| 582 | N = 9 |
| 583 | theta = radar_factory(N, frame='polygon') |