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