Merge pull request #68 from mfastudillo/main

replace np.NaN by np.nan
brightway-lca · Jul 2, 2024 · f047c16 · f047c16
2 parents 18eab72 + ad09395
commit f047c16
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Showing 3 changed files with 12 additions and 12 deletions.
diff --git a/bw_processing/utils.py b/bw_processing/utils.py
@@ -58,10 +58,10 @@ def dictionary_formatter(row: dict) -> tuple:
         row["amount"],
         as_uncertainty_type(row),
         row.get("loc", row["amount"]),
-        row.get("scale", np.NaN),
-        row.get("shape", np.NaN),
-        row.get("minimum", np.NaN),
-        row.get("maximum", np.NaN),
+        row.get("scale", np.nan),
+        row.get("shape", np.nan),
+        row.get("minimum", np.nan),
+        row.get("maximum", np.nan),
         row.get("negative", False),
         row.get("flip", False),
     )

diff --git a/tests/datapackage.py b/tests/datapackage.py
@@ -289,8 +289,8 @@ def test_add_persistent_vector_distributions_shapemismatch():
     dp = create_datapackage()
     distributions_array = np.array(
         [
-            (3, 1.3, 2.5, np.NaN, np.NaN, np.NaN, False),
-            (0, 1.3, 2.5, np.NaN, np.NaN, np.NaN, False),
+            (3, 1.3, 2.5, np.nan, np.nan, np.nan, False),
+            (0, 1.3, 2.5, np.nan, np.nan, np.nan, False),
         ],
         dtype=UNCERTAINTY_DTYPE,
     )

diff --git a/tests/fixtures/basic_arrays.py b/tests/fixtures/basic_arrays.py
@@ -24,19 +24,19 @@ def flip_vector():
 def distributions_vector():
     return np.array(
         [
-            (0, 1, np.NaN, np.NaN, np.NaN, np.NaN, False),
-            (0, 1, np.NaN, np.NaN, np.NaN, np.NaN, False),
-            (0, 1, np.NaN, np.NaN, np.NaN, np.NaN, False),
+            (0, 1, np.nan, np.nan, np.nan, np.nan, False),
+            (0, 1, np.nan, np.nan, np.nan, np.nan, False),
+            (0, 1, np.nan, np.nan, np.nan, np.nan, False),
             (
                 5,
                 237,
-                np.NaN,
-                np.NaN,
+                np.nan,
+                np.nan,
                 200,
                 300,
                 False,
             ),  # triangular uncertainty from 200 to 300
-            (5, 2.5, np.NaN, np.NaN, 2, 3, False),  # triangular uncertainty from 2 to 3
+            (5, 2.5, np.nan, np.nan, 2, 3, False),  # triangular uncertainty from 2 to 3
         ],
         dtype=UNCERTAINTY_DTYPE,
     )