We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
It would be useful to add the boolean kwargs logx, logy, loglog to DataArray.plot() just as in pandas.DataFrame.plot()
logx
logy
loglog
DataArray.plot()
pandas.DataFrame.plot()
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html#pandas.DataFrame.plot
The text was updated successfully, but these errors were encountered:
Let's add logx and logy, but not the redundant loglog. It's easy enough to write logx=True, logy=True.
logx=True, logy=True
Sorry, something went wrong.
Actually do we want to make it more general by saying xscale='log' or xscale='symlog' or xscale='linear'?
xscale='log'
xscale='symlog'
xscale='linear'
Yeah, that's probably a better approach.
Successfully merging a pull request may close this issue.
It would be useful to add the boolean kwargs
logx
,logy
,loglog
toDataArray.plot()
just as inpandas.DataFrame.plot()
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html#pandas.DataFrame.plot
The text was updated successfully, but these errors were encountered: