Resolve "y-axis label is broken in plotly visualization after resources-refactor"
Closes #45 (closed)
I have chosen to set the tickformat to ".4s", 4 decimals, because it looked best when viewing the plot.
I did try using tickformatstops but it only seems to only work when you use xaxis.type='data' but that completely messes up the x-axis format.
# unfortunately the tickformatstops zoom-levels have no effect.
fig.update_xaxes(row=ports_length, col=1, title='Time',
type='date' # tickformatstops only works with this, but messes up the plot x-axis format
# https://plotly.com/python/time-series/#customizing-tick-label-formatting-by-zoom-level
tickformatstops=[
dict(dtickrange=[None, 60000], value=".6s"), # us (1e12)
dict(dtickrange=[60000, 3600000], value=".3s"), # us (1e9)
dict(dtickrange=[3600000, 86400000], value="%f"), # microseconds (1e6)
dict(dtickrange=[86400000, None], value="%S %L"), # seconds:milliseconds (1e3)
],
tickformat=".3s",
rangeslider_visible=True)
Commits:
- fix(pluse_scheme): Set tickformat for xaxes to ".4s"
- Added _populate_port_mapping local function
- Remove redundant for-loop that updated the axes
- Added python typing to all other pulse_scheme functions.
- Fixed bug with inconsistent rainbow coloring.
- Removed '.keys()' when trying to loopup a key in the dictionary
- Removed try-catch around update_yaxes to catch if a port is not in the port_map
- Formatted code
- fix(pulse_scheme): Remove print statement from 'pulse_diagram_plotly'
Previews:
Edited by Thomas Reynders


