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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2021-11-08 20:39:50 -0600 |
|---|---|---|
| committer | Sebastian Berg <sebastian@sipsolutions.net> | 2021-11-12 12:12:00 -0600 |
| commit | 0d5fb819bd6ff8f025db1dfdd0e86e109a64d694 (patch) | |
| tree | 5d708360e321694125dddd32c3141d1b0462fd14 | |
| parent | 8437663e851d358cac74d346d3f3dbb3ad0d52ed (diff) | |
| download | numpy-0d5fb819bd6ff8f025db1dfdd0e86e109a64d694.tar.gz | |
DOC: Remove reference to paper from quantile `method` kwarg
Apparently, sphinx does not resolve references to footnotes from
parameter descriptions.
| -rw-r--r-- | numpy/lib/function_base.py | 4 | ||||
| -rw-r--r-- | numpy/lib/nanfunctions.py | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 03019f1b5..7d0f7bb6a 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -3899,7 +3899,7 @@ def percentile(a, This parameter specifies the method to use for estimating the percentile. There are many different methods, some unique to NumPy. See the notes for explanation. The options aligning with the R types - and the H&F paper [1]_ are: + and the H&F paper are: * (H&F 1): 'inverted_cdf' * (H&F 2): 'averaged_inverted_cdf' @@ -4178,7 +4178,7 @@ def quantile(a, This parameter specifies the method to use for estimating the quantile. There are many different methods, some unique to NumPy. See the notes for explanation. The options aligning with the R types - and the H&F paper [1]_ are: + and the H&F paper are: * (H&F 1): 'inverted_cdf' * (H&F 2): 'averaged_inverted_cdf' diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py index 4613c1d26..39e168944 100644 --- a/numpy/lib/nanfunctions.py +++ b/numpy/lib/nanfunctions.py @@ -1274,7 +1274,7 @@ def nanpercentile( This parameter specifies the method to use for estimating the percentile. There are many different methods, some unique to NumPy. See the notes for explanation. The options aligning with the R types - and the H&F paper [1]_ are: + and the H&F paper are: * (H&F 1): 'inverted_cdf' * (H&F 2): 'averaged_inverted_cdf' @@ -1428,7 +1428,7 @@ def nanquantile( This parameter specifies the method to use for estimating the quantile. There are many different methods, some unique to NumPy. See the notes for explanation. The options aligning with the R types - and the H&F paper [1]_ are: + and the H&F paper are: * (H&F 1): 'inverted_cdf' * (H&F 2): 'averaged_inverted_cdf' |