Comments (4)
ok, great!
I suggest you make it explicit on the landing page that there are three levels:
GUI
python local plot
python github plot
and that based on this level plots can be interactive
from alphapeptstats.
You can either use alphapeptstats as
GUI
using the commandalphastats gui
in your terminal (after the pip installation) or the one-click installerPython library
shown in the tutorial notebooks and the Documentation
Thanks for bringing this to my attention. I wasn't aware of the fact that the difference wasn't clearly pointed out in the documentation and the readme. I will update the documentation soon. 💃
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I want to use it in Python as part of the overall data analysis strategy (also using other tools).
One key aspect is that I want is that I can use alphapeptstats in python to generate interactive plots. How do I do that?
from alphapeptstats.
You can follow the tutorial notebooks. Functions like DataSet.plot_volcano(...)
or DataSet.plot_pca(...)
will plot an interactive plot (using Plotly).
The plots in the tutorial notebooks are actually interactive plots, however, the combination GitHub+Plotly+Jupyter Notebook is not working for interactive plots, thus the plots are displayed as static plots on GitHub instead.
Running the exact same code on your local Jupyter notebook will result in interactive instead of static plots.
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Related Issues (20)
- can't install: Microsoft visual error message HOT 2
- efficient onversion back and forth to AnnData HOT 1
- Not able to input FragPipe Output data HOT 3
- One Click Installer crashing
- Installation fails on M1-Mac due to tables dependency
- one-click Windows installer? HOT 1
- color from plot_sampledistribution HOT 3
- `nbformat` requirement missing HOT 1
- Imputation considers only NaN; should it also consider zeros?
- DEqMS for differential expression
- Incorrect VST normalization
- Raw data number of groups in `preprocessing_info` has a filtered count
- Implementing `MissForest` imputation?
- Type of FDR correction HOT 1
- NOt working
- groupind replicates from sample names
- PyPi Links not working
- Cut offs for Volcano Plots greatly shifted from significance
- Conversion of pd.DataFrame to a DataSet instance HOT 1
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