gw-odw / odw-2023 Goto Github PK

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernel and run all"
5. Commit the file and push to the main repository and close this issue.

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernel and run all"
5. Commit the file and push to the main repository and close this issue.

The build id's seem to be different between osx-arm64 and osx-64. Do you have a yml file for M1 Mac?

Following up @camurria 's comment

Hi all in the tutorial 3.3 (https://github.com/gw-odw/odw-2023/blob/main/Tutorials/Day_3/Tuto_3.3_Discovering_and_using_published_posterior_samples.ipynb) I see a warning: WARNING:root:Pandas support in corner is deprecated; use ArviZ directly ... someone knows which is the reason and if there is a way to avoid having this warning?

According to corner's documentation on corner.corner (docs for the labels)

labels (iterable (ndim,)) –

A list of names for the dimensions.

Deprecated since version 2.2.1: If a xs is a pandas.DataFrame and ArviZ is installed, labels will default to column names. This behavior will be removed in version 3; either use ArviZ data structures instead or pass labels=dataframe.columns manually.

It looks like, indeed, arviz is installed (I'm running google collab), so the warning is justified.

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernal and run all"
5. Commit the file and push to the main repository and close this issue.

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernel and run all"
5. Commit the file and push to the main repository and close this issue.

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernal and run all"
5. Commit the file and push to the main repository and close this issue.

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernal and run all"
5. Commit the file and push to the main repository and close this issue.

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernal and run all"
5. Commit the file and push to the main repository and close this issue.

https://github.com/gw-odw/odw-2023/blob/main/setup.md

Some specific instructions:

1. Update the version instructions for software used in the tutorial to the latest package releases
2. Run over the tutorial and ensure it works with the latest releases of the packages
3. Improve the text/examples anywhere you think best
4. Once you are satisfied, in jupyter do "Run kernal and run all"
5. Commit the file and push to the main repository and close this issue.