From 871e5af26bec42c51b022690ea50a283a2c55b8f Mon Sep 17 00:00:00 2001
From: Thomas Bury <tombury182@gmail.com>
Date: Fri, 10 Feb 2023 12:11:06 -0500
Subject: [PATCH] fix bib entries

---
 paper/paper.bib | 4 ++--
 paper/paper.md  | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/paper/paper.bib b/paper/paper.bib
index 8446959..62350f2 100644
--- a/paper/paper.bib
+++ b/paper/paper.bib
@@ -101,7 +101,7 @@ @MISC{newville2016lmfit
       adsnote = {Provided by the SAO/NASA Astrophysics Data System}
 }
 
-@InProceedings{ mckinney-proc-scipy-2010,
+@InProceedings{ mckinney2010data,
   author    = { {W}es {M}c{K}inney },
   title     = { {D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython },
   booktitle = { {P}roceedings of the 9th {P}ython in {S}cience {C}onference },
@@ -112,7 +112,7 @@ @InProceedings{ mckinney-proc-scipy-2010
 }
 
 @software{reback2020pandas,
-    author       = {The pandas development team},
+    author       = {{The pandas development team}},
     title        = {pandas-dev/pandas: Pandas},
     month        = feb,
     year         = 2020,
diff --git a/paper/paper.md b/paper/paper.md
index 51080c2..dc15a23 100644
--- a/paper/paper.md
+++ b/paper/paper.md
@@ -55,7 +55,7 @@ visualising EWS in time series data. The package provides:
 
 
 `ewstools` makes use of several open-source Python packages, including
-pandas [@reback2020pandas; @mckinney2010data] for dataframe handling, 
+pandas [@mckinney2010data; @reback2020pandas] for dataframe handling, 
 NumPy [@harris2020array] for fast numerical computing, 
 Plotly [@plotly] for visualisation, 
 LMFIT [@newville2016lmfit] for nonlinear least-squares minimisation,