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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)
# writer.add_custom_scalars(layout) second call has no effect
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'])
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