Add get_ranges query function #338
Open
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
This function returns a DataFrame containing the distinct ranges of
contiguous data. For example,
>>> cc.querying.get_ranges(session, "01deg_jra55v13_ryf9091", "u", "1 daily")
start end
0 1950-01-01 00:00:00 1950-02-01 00:00:00
1 1950-02-01 00:00:00 1971-01-01 00:00:00
2 2086-01-01 00:00:00 2100-10-01 00:00:00
3 2100-10-01 00:00:00 2101-01-01 00:00:00
4 2170-01-01 00:00:00 2180-01-01 00:00:00
Curiously, this example does highlight an inconsistency in the data
for this experiment, but it does show the gaps where no daily velocity
data is available.
angus-g
force-pushed
the
angus-g/time-ranges
branch
from
8462cbe
to
bd3bdf7
Compare
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Outdated suggestions cannot be applied.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.
This function returns a DataFrame containing the distinct ranges of contiguous data. For example,
Curiously, this example does highlight an inconsistency in the data for this experiment, but it does show the gaps where no daily velocity data is available.
Probably not quite ready (and definitely needs some tests!), but I thought I'd get this out there while it's fresh on my mind.