Skip to content

Conversation

@tacaswell
Copy link
Member

Depends on bluesky/bluesky#628 being in first so the simulated readers do not lie about their shape.

@danielballan
Copy link
Contributor

attn @CJ-Wright, this is the example I mentioned on the phone.

# pull the image size data from the descriptor
dk = doc['data_keys'][self._name]
# set up the binning
self.binner = scabs.RadialBinnedStatistic(dk['shape'], bins=100,
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Shouldn't this get the bins from self._bins?

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Yes

@tacaswell
Copy link
Member Author

pip is installing numpy on top of conda numpy and they are conflicting (I think).

@tacaswell tacaswell force-pushed the enh_integration_example branch from 7aa6d38 to 52a73e1 Compare February 14, 2018 19:49
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants