Don't fail on non-numeric types, fix #14, release 0.2.12

lovely_numpy/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.2.11"
+__version__ = "0.2.12"
 
 from .repr_str import *
 from .repr_rgb import *

lovely_numpy/repr_str.py

@@ -36,17 +36,17 @@ def plain_repr(x):
  return repr(x)
 
 # %% ../nbs/00_repr_str.ipynb 10
-def lovely( x :Union[np.ndarray, np.generic], # The data you want to explore 
+def lovely( x :Union[np.ndarray, np.generic], # The data you want to explore
  plain :bool =False, # Plain old way
  verbose :bool =False, # Both summaty and plain
  depth :int =0, # Show deeper summary, up to `depth`
- lvl :int =0, # Indentation level 
+ lvl :int =0, # Indentation level
  color :O[bool]=None # Override `get_config().color`
  ) -> str: # The summary
 
  "Pretty-print the stats of a numpy array or scalar"
 
- if plain or not isinstance(x, (np.ndarray, np.generic)) or np.iscomplexobj(x):
+ if plain or not isinstance(x, (np.ndarray, np.generic)) or np.iscomplexobj(x) or not np.issubdtype(x.dtype, np.number):
  return plain_repr(x)
 
  conf = get_config()
@@ -72,7 +72,7 @@ def lovely( x :Union[np.ndarray, np.generic], # The data you want to explo
 
  common = np_to_str_common(x, color=color)
  dtype = short_dtype(x)
- 
+
  vals = pretty_str(x) if 0 < x.size <= 10 else None
  res = sparse_join([type_str, dtype, numel, common, vals])
 

nbs/00_repr_str.ipynb

@@ -127,17 +127,17 @@
  "source": [
  "# |export\n",
  "\n",
- "def lovely( x :Union[np.ndarray, np.generic], # The data you want to explore \n",
+ "def lovely( x :Union[np.ndarray, np.generic], # The data you want to explore\n",
  " plain :bool =False, # Plain old way\n",
  " verbose :bool =False, # Both summaty and plain\n",
  " depth :int =0, # Show deeper summary, up to `depth`\n",
- " lvl :int =0, # Indentation level \n",
+ " lvl :int =0, # Indentation level\n",
  " color :O[bool]=None # Override `get_config().color`\n",
  " ) -> str: # The summary\n",
  "\n",
  " \"Pretty-print the stats of a numpy array or scalar\"\n",
  "\n",
- " if plain or not isinstance(x, (np.ndarray, np.generic)) or np.iscomplexobj(x):\n",
+ " if plain or not isinstance(x, (np.ndarray, np.generic)) or np.iscomplexobj(x) or not np.issubdtype(x.dtype, np.number):\n",
  " return plain_repr(x)\n",
  "\n",
  " conf = get_config()\n",
@@ -163,7 +163,7 @@
  "\n",
  " common = np_to_str_common(x, color=color)\n",
  " dtype = short_dtype(x)\n",
- " \n",
+ "\n",
  " vals = pretty_str(x) if 0 < x.size <= 10 else None\n",
  " res = sparse_join([type_str, dtype, numel, common, vals])\n",
  "\n",
@@ -538,6 +538,30 @@
  "print(lovely(c))"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "array(['a', 'b', 'c'], dtype='<U1')\n",
+ "array([{}, {'a': 1}, {'b': 2, 'c': 3}], dtype=object)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Other weirs stuff\n",
+ "\n",
+ "w = np.array([\"a\", \"b\", \"c\"])\n",
+ "print(lovely(w))\n",
+ "\n",
+ "z = np.array([{}, {\"a\": 1}, {\"b\": 2, \"c\": 3}])\n",
+ "print(lovely(z))"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": null,

settings.ini

@@ -5,7 +5,7 @@
 ### Python library ###
 repo = lovely-numpy
 lib_name = lovely-numpy
-version = 0.2.11
+version = 0.2.12
 min_python = 3.7
 license = MIT