fix: numpy no longer supports np.float type (#543)

For more info see - https://numpy.org/doc/stable/release/1.24.0-notes.html
influxdata · Dec 27, 2022 · df12e0b · df12e0b
1 parent 03f5bd7
commit df12e0b
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Showing 2 changed files with 2 additions and 3 deletions.
diff --git a/tests/test_WriteApiDataFrame.py b/tests/test_WriteApiDataFrame.py
@@ -327,7 +327,7 @@ def test_write_num_py_floats(self):
         from influxdb_client.extras import pd, np
         now = pd.Timestamp('2020-04-05 00:00+00:00')
 
-        float_types = [np.float, np.float16, np.float32, np.float64]
+        float_types = [np.float16, np.float32, np.float64]
         if hasattr(np, 'float128'):
             float_types.append(np.float128)
         for np_float_type in float_types:

diff --git a/tests/test_point.py b/tests/test_point.py
@@ -399,7 +399,6 @@ def test_numpy_types(self):
 
         point = Point.measurement("h2o") \
             .tag("location", "europe") \
-            .field("np.float1", np.float(1.123)) \
             .field("np.float2", np.float16(2.123)) \
             .field("np.float3", np.float32(3.123)) \
             .field("np.float4", np.float64(4.123)) \
@@ -413,7 +412,7 @@ def test_numpy_types(self):
             .field("np.uint4", np.uint64(8))
 
         self.assertEqual(
-            "h2o,location=europe np.float1=1.123,np.float2=2.123,np.float3=3.123,np.float4=4.123,np.int1=1i,np.int2=2i,np.int3=3i,np.int4=4i,np.uint1=5i,np.uint2=6i,np.uint3=7i,np.uint4=8i",
+            "h2o,location=europe np.float2=2.123,np.float3=3.123,np.float4=4.123,np.int1=1i,np.int2=2i,np.int3=3i,np.int4=4i,np.uint1=5i,np.uint2=6i,np.uint3=7i,np.uint4=8i",
             point.to_line_protocol())
 
     def test_from_dictionary_custom_measurement(self):