-
Notifications
You must be signed in to change notification settings - Fork 2.8k
New issue
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
Plot enhancement #1390
Merged
Merged
Plot enhancement #1390
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…em string; 2) allow simultaneously plot rankic in ic_figure
@you-n-g do you mind review please? |
you-n-g
reviewed
Dec 19, 2022
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks.
The new feature and graph look really nice :)
qlib/contrib/report/analysis_model/analysis_model_performance.py
Outdated
Show resolved
Hide resolved
More detailed description Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
for Python backward compatibility Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
… plot_enhancement
@you-n-g |
…ed; 2) no need to use custom numba version for pytest.
Thanks! |
qianyun210603
added a commit
to qianyun210603/qlib
that referenced
this pull request
Mar 23, 2023
* horizontally put the bar figures * 1) use rangebreaks to handle gaps in datetime axis instead of make them string; 2) allow simultaneously plot rankic in ic_figure * pylint improvement * fix black lint * better axis formatting * default not show gaps * resolve doc built error * fix pylint * Update qlib/contrib/report/analysis_model/analysis_model_performance.py More detailed description Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * Update qlib/contrib/report/analysis_model/analysis_model_performance.py for Python backward compatibility Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * add doc string * fix black * 1) limit numpy version as numba support for 1.24+ has not been released; 2) no need to use custom numba version for pytest. Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
qianyun210603
added a commit
to qianyun210603/qlib
that referenced
this pull request
Mar 23, 2023
* horizontally put the bar figures * 1) use rangebreaks to handle gaps in datetime axis instead of make them string; 2) allow simultaneously plot rankic in ic_figure * pylint improvement * fix black lint * better axis formatting * default not show gaps * resolve doc built error * fix pylint * Update qlib/contrib/report/analysis_model/analysis_model_performance.py More detailed description Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * Update qlib/contrib/report/analysis_model/analysis_model_performance.py for Python backward compatibility Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * add doc string * fix black * 1) limit numpy version as numba support for 1.24+ has not been released; 2) no need to use custom numba version for pytest. Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
qianyun210603
added a commit
to qianyun210603/qlib
that referenced
this pull request
Mar 23, 2023
* horizontally put the bar figures * 1) use rangebreaks to handle gaps in datetime axis instead of make them string; 2) allow simultaneously plot rankic in ic_figure * pylint improvement * fix black lint * better axis formatting * default not show gaps * resolve doc built error * fix pylint * Update qlib/contrib/report/analysis_model/analysis_model_performance.py More detailed description Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * Update qlib/contrib/report/analysis_model/analysis_model_performance.py for Python backward compatibility Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * add doc string * fix black * 1) limit numpy version as numba support for 1.24+ has not been released; 2) no need to use custom numba version for pytest. Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
rangebreaks
parameter in plotly to handle gaps in datetime axises. (Fix# FIXME: support HIGH-FREQ
)IC
andRankIC
inmodel_performance_graph
.risk_analysis_graph
for better looking.New style
v.s. Old style
Motivation and Context
Improve the report graphs.
How Has This Been Tested?
Create a simple fake
pred_label
dfsee the result as expected

Screenshots of Test Results (if appropriate):
Types of changes
Fix bugsEnhancement