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| author | Andrew Liu <andrewlliu@gmail.com> | 2019-09-10 17:04:07 -0700 |
|---|---|---|
| committer | Andrew Liu <andrewlliu@gmail.com> | 2019-09-10 17:04:07 -0700 |
| commit | aa013846e5c2d4e83e20f6b80b498eded1a9ff3c (patch) | |
| tree | 68be9053ff9575456366f3453fefd94197cfd219 /doc/source/reference | |
| parent | b42c2e3f02e6c6d0682ae148923db1b7123c5ac6 (diff) | |
| download | numpy-aa013846e5c2d4e83e20f6b80b498eded1a9ff3c.tar.gz | |
DOC: add timedelta64 signature
Diffstat (limited to 'doc/source/reference')
| -rw-r--r-- | doc/source/reference/arrays.datetime.rst | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/doc/source/reference/arrays.datetime.rst b/doc/source/reference/arrays.datetime.rst index 387515f59..836373c74 100644 --- a/doc/source/reference/arrays.datetime.rst +++ b/doc/source/reference/arrays.datetime.rst @@ -100,7 +100,9 @@ Datetime and Timedelta Arithmetic NumPy allows the subtraction of two Datetime values, an operation which produces a number with a time unit. Because NumPy doesn't have a physical quantities system in its core, the timedelta64 data type was created -to complement datetime64. +to complement datetime64. The arguments for timedelta64 are a number, +to represent the number of units, and a date/time unit, such as +(D)ay, (M)onth, (Y)ear, (h)ours, (m)inutes, or (s)econds. Datetimes and Timedeltas work together to provide ways for simple datetime calculations. |