fix astanin#18 - display np.int64 numbers as integers, do not apply 'floatfmt'

Author: astanin

tabulate/__init__.py

@@ -868,8 +868,13 @@ def _isint(string, inttype=int):
     """
     return (
         type(string) is inttype
-        or isinstance(string, (bytes, str))
-        and _isconvertible(inttype, string)
+        or (
+            hasattr(string, "is_integer")
+            and str(type(string)).startswith("<class 'numpy.int")
+        )  # numpy.int64 and similar
+        or (
+            isinstance(string, (bytes, str)) and _isconvertible(inttype, string)
+        )  # integer as string
     )
 
 

test/test_regression.py

@@ -492,3 +492,23 @@ def test_exception_on_empty_data_with_maxcolwidths():
     "Regression: exception on empty data when using maxcolwidths (github issue #180)"
     result = tabulate([], maxcolwidths=5)
     assert_equal(result, "")
+
+
+def test_numpy_int64_as_integer():
+    "Regression: format numpy.int64 as integer (github issue #18)"
+    try:
+        import numpy as np
+
+        headers = ["int", "float"]
+        table = [[np.int64(1), 3.14159]]
+        result = tabulate(table, headers, tablefmt="pipe", floatfmt=".2f")
+        expected = "\n".join(
+            [
+                "|   int |   float |",
+                "|------:|--------:|",
+                "|     1 |    3.14 |",
+            ]
+        )
+        assert_equal(result, expected)
+    except ImportError:
+        raise skip("")