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Fix report histogram xlabels without labels will add "trace 0" in legend instead of series name

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This commit is contained in:
allegroai 2020-05-22 11:01:54 +03:00
parent 88cddcfe1d
commit 11443e20f8
2 changed files with 5 additions and 7 deletions
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10
trains/logger.py
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@ -86,8 +86,6 @@ class Logger(object):
logger = Logger.current_logger() logger = Logger.current_logger()
:return: The Logger object (a singleton) for the current running Task. :return: The Logger object (a singleton) for the current running Task.
:rtype: Logger object
""" """
from .task import Task from .task import Task
task = Task.current_task() task = Task.current_task()
@ -200,7 +198,9 @@ class Logger(object):
mode=None # type: Optional[str] mode=None # type: Optional[str]
): ):
""" """
For explicit reporting, plot a (default stacked) histogram. For explicit reporting, plot a (default grouped) histogram.
Notice this function will not calculate the histogram,
it assumes the histogram was already calculated in `values`
For example: For example:
@ -899,8 +899,6 @@ class Logger(object):
:return: The default upload destination URI. :return: The default upload destination URI.
For example, ``s3://bucket/directory/`` or ``file:///tmp/debug/``. For example, ``s3://bucket/directory/`` or ``file:///tmp/debug/``.
:rtype: str
""" """
return self._default_upload_destination or self._task._get_default_report_storage_uri() return self._default_upload_destination or self._task._get_default_report_storage_uri()
@ -927,8 +925,6 @@ class Logger(object):
Get the Logger flush period. Get the Logger flush period.
:return: The logger flush period in seconds. :return: The logger flush period in seconds.
:rtype: int
""" """
if self._flusher: if self._flusher:
return self._flusher.period return self._flusher.period

2
trains/utilities/plotly_reporter.py
View File

@ -36,6 +36,8 @@ def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitl
if len(labels) == 1: if len(labels) == 1:
labels = [labels] * np_row_wise.shape[0] labels = [labels] * np_row_wise.shape[0]
assert len(xlabels) == np_row_wise.shape[1] assert len(xlabels) == np_row_wise.shape[1]
elif not labels and xlabels:
labels = [series]
data = [_np_row_to_plotly_data_item(np_row=np_row_wise[i, :], label=labels[i] if labels else None, xlabels=xlabels) data = [_np_row_to_plotly_data_item(np_row=np_row_wise[i, :], label=labels[i] if labels else None, xlabels=xlabels)
for i in range(np_row_wise.shape[0])] for i in range(np_row_wise.shape[0])]