From 2e2c982a7b42bde6575af7a13530e7b886eb0c63 Mon Sep 17 00:00:00 2001
From: Raphael <raphael.sturgis@gmail.com>
Date: Wed, 13 Apr 2022 11:37:36 +0200
Subject: [PATCH] fix depreciation warning
---
skais/ais/ais_trajectory.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/skais/ais/ais_trajectory.py b/skais/ais/ais_trajectory.py
index 336f6da..dca3bcc 100644
--- a/skais/ais/ais_trajectory.py
+++ b/skais/ais/ais_trajectory.py
@@ -358,11 +358,11 @@ class AISTrajectory(AISPoints):
elif type(features) is list:
features_vectors = self.df[features].to_numpy()
for c in features_vectors.T:
- bounds.append((0, max(c)))
+ bounds.append([0, max(c)])
elif type(features) is str:
features_vectors = self.df[[features]].to_numpy()
for c in features_vectors.T:
- bounds.append((0, max(c)))
+ bounds.append([0, max(c)])
elif type(features) is dict:
bounds = list(features.values())
features_vectors = self.df[features.keys()].to_numpy()
@@ -383,6 +383,6 @@ class AISTrajectory(AISPoints):
generate_links(data, positions, height, width, lower_lat, upper_lat, lower_lon, upper_lon)
else:
- generate_points_with_features(data, positions, features_vectors, bounds, node_size, height, width,
+ generate_points_with_features(data, positions, features_vectors, np.array(bounds), node_size, height, width,
lower_lat, upper_lat, lower_lon, upper_lon, link)
return data
--
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