Resolve "make friendly example scripts for the release"

Closes #626 (closed)

python/corsika/io/converters/arrow_to_numpy.py

@@ -8,8 +8,9 @@
  the license.
 """
 
-import pyarrow
 import numpy as np
+import pyarrow
+
 
 def convert_to_numpy(pyarrow_table: pyarrow.lib.Table) -> np.ndarray:
     """
@@ -28,8 +29,8 @@ def convert_to_numpy(pyarrow_table: pyarrow.lib.Table) -> np.ndarray:
     """
 
     # Type conversions for pyarrow data types to numpy ones
-    # pyarrow: https://arrow.apache.org/docs/python/data.html
-    # numpy: https://numpy.org/doc/stable/reference/arrays.dtypes.html#arrays-dtypes-constructing
+    # https://arrow.apache.org/docs/python/data.html
+    # https://numpy.org/doc/stable/reference/arrays.dtypes.html#arrays-dtypes-constructing
     type_conversions = {
         pyarrow.int8(): "int8",
         pyarrow.int16(): "int16",
@@ -45,10 +46,13 @@ def convert_to_numpy(pyarrow_table: pyarrow.lib.Table) -> np.ndarray:
     }
 
     # Perform type conversion of all fields
-    column_types = [type_conversions[pyarrow_table[key].type] for key in pyarrow_table.column_names]
+    column_types = [
+        type_conversions[pyarrow_table[key].type] for key in pyarrow_table.column_names
+    ]
+    dtypes = [(x, y) for (x, y) in zip(pyarrow_table.column_names, column_types)]
 
     # Make an empty array and then fill the values
-    np_table = np.zeros(pyarrow_table.num_rows, dtype={"names": pyarrow_table.column_names, "formats": column_types})
+    np_table = np.zeros(pyarrow_table.num_rows, dtype=dtypes)
     for key in pyarrow_table.column_names:
         np_table[key] = pyarrow_table[key]