@michaelgrund Sorry to leave you hanging, but I haven't had the chance to check out this branch yet!

@michaelgrund Sorry to leave you hanging, but I haven't had the chance to check out this branch yet!

No worries @willschlitzer 😉

I'm not familiar with the use of blockmean, but I'm getting the exact same output when I change the arguments to restype. I'm using the input data specified in test_blockmean_input_xyz(). Is this supposed to be the case?

I'm not familiar with the use of blockmean, but I'm getting the exact same output when I change the arguments to restype. I'm using the input data specified in test_blockmean_input_xyz(). Is this supposed to be the case?

I get different results depending on the argument. Maybe try a git status to check the branch and make clean; make install?

import pygmt
data = pygmt.datasets.load_sample_bathymetry()
region = pygmt.info(data, spacing=1)
pygmt.blockmean(data=data, spacing="1m", restype="w", region=region).head(1)

pygmt.blockmean(data=data, spacing="1m", restype="m", region=region).head(1)

restype is not my favorite alias for this parameter because I think truncated words are not the quickest to interpret. I would prefer something like statistic. But, it's not that strong of an opinion if @michaelgrund prefers to stick with the restype.

restype is not my favorite alias for this parameter because I think truncated words are not the quickest to interpret. I would prefer something like statistic. But, it's not that strong of an opinion if @michaelgrund prefers to stick with the restype.

Thanks for you comment @meghanrjones. I'm fully open for other suggestions for the alias. Indeed, statistic would fit better than restype. Another alternative would be e.g. summarize since the calculated values represent a summary of the data in each block based on different metrics (mean, count, sum, sum of weights).

restype is not my favorite alias for this parameter because I think truncated words are not the quickest to interpret. I would prefer something like statistic. But, it's not that strong of an opinion if @michaelgrund prefers to stick with the restype.

Thanks for you comment @meghanrjones. I'm fully open for other suggestions for the alias. Indeed, statistic would fit better than restype. Another alternative would be e.g. summarize since the calculated values represent a summary of the data in each block based on different metrics (mean, count, sum, sum of weights).

summarize sounds good!

restype is not my favorite alias for this parameter because I think truncated words are not the quickest to interpret. I would prefer something like statistic. But, it's not that strong of an opinion if @michaelgrund prefers to stick with the restype.

Thanks for you comment @meghanrjones. I'm fully open for other suggestions for the alias. Indeed, statistic would fit better than restype. Another alternative would be e.g. summarize since the calculated values represent a summary of the data in each block based on different metrics (mean, count, sum, sum of weights).

Do you think summary (noun) is better than summarize (verb)?

I'm not familiar with the use of blockmean, but I'm getting the exact same output when I change the arguments to restype. I'm using the input data specified in test_blockmean_input_xyz(). Is this supposed to be the case?

I get different results depending on the argument. Maybe try a git status to check the branch and make clean; make install?

Maybe I set up my Jupyter Notebook badly, but I'm now getting different results. Looks like it works!

Do you think summary (noun) is better than summarize (verb)?

I'm open for this, what do the others think is the better choice?

Do you think summary (noun) is better than summarize (verb)?

I'm open for this, what do the others think is the better choice?

I think summary works better; summarize seems like it would make sense for a True/False argument.

/format