| from numpy.random import rand |
| from tensorboardX import SummaryWriter |
| import time |
|
|
|
|
| with SummaryWriter() as writer: |
| for n_iter in range(100): |
| writer.add_scalar('twse/0050', rand(), n_iter) |
| writer.add_scalar('twse/2330', rand(), n_iter) |
| t = rand() |
| writer.add_scalar('dow/aaa', t, n_iter) |
| writer.add_scalar('dow/bbb', t - 1, n_iter) |
| writer.add_scalar('dow/ccc', t + 1, n_iter) |
| writer.add_scalar('nasdaq/aaa', rand(), n_iter) |
| writer.add_scalar('nasdaq/bbb', rand(), n_iter) |
| writer.add_scalar('nasdaq/ccc', rand(), n_iter) |
|
|
| layout = {'Taiwan': {'twse': ['Multiline', ['twse/0050', 'twse/2330']]}, |
| 'USA': {'dow': ['Margin', ['dow/aaa', 'dow/bbb', 'dow/ccc']], |
| 'nasdaq': ['Margin', ['nasdaq/aaa', 'nasdaq/bbb', 'nasdaq/ccc']]}} |
| writer.add_custom_scalars(layout) |
| |
|
|
| time.sleep(1) |
|
|
| with SummaryWriter() as writer: |
| for n_iter in range(100): |
| writer.add_scalar('twse/0050', rand(), n_iter) |
| writer.add_scalar('twse/2330', rand(), n_iter) |
|
|
| writer.add_custom_scalars_multilinechart(['twse/0050', 'twse/2330']) |
|
|
| time.sleep(1) |
|
|
| with SummaryWriter() as writer: |
| for n_iter in range(100): |
| t = rand() |
| writer.add_scalar('dow/aaa', t, n_iter) |
| writer.add_scalar('dow/bbb', t - 1, n_iter) |
| writer.add_scalar('dow/ccc', t + 1, n_iter) |
|
|
| writer.add_custom_scalars_marginchart(['dow/aaa', 'dow/bbb', 'dow/ccc']) |
|
|
