From fe54b1aa139d71e24a11642d34da0c6f533c9466 Mon Sep 17 00:00:00 2001 From: Fabian Joswig Date: Tue, 24 Jan 2023 13:09:33 +0000 Subject: [PATCH] docs: hyperlink fixed in docs. --- pyerrors/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyerrors/__init__.py b/pyerrors/__init__.py index a65c9a80..b82eb7f8 100644 --- a/pyerrors/__init__.py +++ b/pyerrors/__init__.py @@ -41,7 +41,7 @@ print(my_new_obs) # Print the result to stdout `pyerrors` introduces a new datatype, `Obs`, which simplifies error propagation and estimation for auto- and cross-correlated data. An `Obs` object can be initialized with two arguments, the first is a list containing the samples for an observable from a Monte Carlo chain. The samples can either be provided as python list or as numpy array. -The second argument is a list containing the names of the respective Monte Carlo chains as strings. These strings uniquely identify a Monte Carlo chain/ensemble. **It is crucial for the correct error propagation that observations from the same Monte Carlo history are labeled with the same name. See [Multiple ensembles/replica](#Multiple-ensemblesreplica) for details.** +The second argument is a list containing the names of the respective Monte Carlo chains as strings. These strings uniquely identify a Monte Carlo chain/ensemble. **It is crucial for the correct error propagation that observations from the same Monte Carlo history are labeled with the same name. See [Multiple ensembles/replica](#multiple-ensemblesreplica) for details.** ```python import pyerrors as pe