From f85b33a4cd2b94723f88e9eee18c751bcb7abc25 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Sun, 1 Oct 2023 21:17:56 +0000
Subject: [PATCH 1/2] Bump pandas[excel] from 2.0.3 to 2.1.1

Bumps [pandas[excel]](https://github.com/pandas-dev/pandas) from 2.0.3 to 2.1.1.
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](https://github.com/pandas-dev/pandas/compare/v2.0.3...v2.1.1)

---
updated-dependencies:
- dependency-name: pandas[excel]
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
---
 requirements-dev.txt | 2 +-
 requirements.txt     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/requirements-dev.txt b/requirements-dev.txt
index eb0154f..5bc98f8 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -87,7 +87,7 @@ packaging==23.1
     #   black
     #   build
     #   pytest
-pandas[excel]==2.0.3
+pandas[excel]==2.1.1
     # via datahub (pyproject.toml)
 pandas-stubs==2.0.2.230605
     # via datahub (pyproject.toml)
diff --git a/requirements.txt b/requirements.txt
index 897adba..75cdcb1 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -32,7 +32,7 @@ openpyxl==3.1.2
     # via pandas
 orjson==3.9.2
     # via datahub (pyproject.toml)
-pandas[excel]==2.0.3
+pandas[excel]==2.1.1
     # via datahub (pyproject.toml)
 pydantic==1.10.10
     # via fastapi

From 2d9f3d578bb52d66b5e29c82fe5222c510fbb193 Mon Sep 17 00:00:00 2001
From: Adrian D'Alessandro <a.dalessandro@imperial.ac.uk>
Date: Tue, 3 Oct 2023 17:39:30 +0100
Subject: [PATCH 2/2] Explicitly use nanosecond units when creating opal
 dataframe

There is a bug in pandas https://github.com/pandas-dev/pandas/issues/55374
---
 datahub/opal.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/datahub/opal.py b/datahub/opal.py
index c02cd96..f5c4e9e 100644
--- a/datahub/opal.py
+++ b/datahub/opal.py
@@ -116,7 +116,7 @@ def create_opal_frame() -> pd.DataFrame:
         An initial Dataframe for the opal data with key frame 0
     """
     df = pd.DataFrame(0, index=range(1), columns=list(opal_headers.keys()))
-    df["Time"] = pd.Timestamp(OPAL_START_DATE)
+    df["Time"] = pd.Timestamp(OPAL_START_DATE).as_unit("ns")  # type: ignore[attr-defined]  # noqa: E501
 
     return df