Version 0.3.0

Author: kz26

CHANGELOG.md

@@ -1,3 +1,8 @@
+# 0.3.0 - July 29, 2013
+* Fixed bug in __coordinate_to_string function
+* Compatibility fixes for Python 3 and numpy datatypes
+* Updated test suite to work with Python 3
+
 # 0.2.6 - July 10, 2013
 * Better PyInstaller compatibility (sys.executable in addition to sys.\_MEIPASS
 

README.md

@@ -2,7 +2,7 @@
 
 Accelerated Excel XLSX writing library for Python 2/3
 
-* Current version: 0.2.6
+* Current version: 0.3.0
 * Authors: [Kevin Wang](https://github.com/kevmo314) and [Kevin Zhang](https://github.com/whitehat2k9)
 * License: Simplified BSD License
 * [Source repository](https://github.com/whitehat2k9/PyExcelerate)

pyexcelerate/DataTypes.py

@@ -1,5 +1,10 @@
 from datetime import datetime
 from . import six
+try:
+	import numpy as np
+	HAS_NUMPY = True
+except:
+	HAS_NUMPY = False
 
 class DataTypes(object):
 	BOOLEAN = 0
@@ -12,6 +17,8 @@ class DataTypes(object):
 	FORMULA = 7
 
 	_enumerations = ["b", "d", "e", "inlineStr", "n", "s", "str"]
+	_numberTypes = six.integer_types + (float, complex)
+
 	@staticmethod
 	def to_enumeration_value(index):
 		return DataTypes._enumerations[index]
@@ -25,15 +32,17 @@ def get_type(value):
 			else:
 				return DataTypes.INLINE_STRING
 		# not using in (int, float, long, complex) for speed
-		elif value.__class__ in six.integer_types + (float, complex):
+		elif value.__class__ in DataTypes._numberTypes:
 			return DataTypes.NUMBER
 		# fall back to the slower isinstance
 		elif isinstance(value, six.string_types):
 			if len(value) > 0 and value[0] == '=':
 				return DataTypes.FORMULA
 			else:
 				return DataTypes.INLINE_STRING
-		elif isinstance(value, six.integer_types + (float, complex)):
+		elif isinstance(value, DataTypes._numberTypes):
+			return DataTypes.NUMBER
+		elif HAS_NUMPY and isinstance(value, (np.floating, np.integer, np.complexfloating, np.unsignedinteger)):
 			return DataTypes.NUMBER
 		elif isinstance(value, datetime):
 			return DataTypes.DATE

pyexcelerate/Range.py

@@ -168,8 +168,7 @@ def coordinate_to_string(coord):
 			s = ""	
 			while y >= 0:
 				s = chr((y % 26) + Range.A) + s
-				y /= 26
-				y -= 1
+				y = int(y / 26) - 1
 			Range._cts_cache[y] = s
 		return Range._cts_cache[y] + str(coord[0])
 

pyexcelerate/tests/test_DataTypes.py

@@ -5,24 +5,24 @@
 import numpy
 
 def test__to_enumeration_value():
-    eq_(DataTypes.to_enumeration_value(DataTypes.BOOLEAN), "b")
-    eq_(DataTypes.to_enumeration_value(DataTypes.DATE), "d")
-    eq_(DataTypes.to_enumeration_value(DataTypes.ERROR), "e")
-    eq_(DataTypes.to_enumeration_value(DataTypes.INLINE_STRING), "inlineStr")
-    eq_(DataTypes.to_enumeration_value(DataTypes.NUMBER), "n")
-    eq_(DataTypes.to_enumeration_value(DataTypes.SHARED_STRING), "s")
-    eq_(DataTypes.to_enumeration_value(DataTypes.STRING), "str")
+	eq_(DataTypes.to_enumeration_value(DataTypes.BOOLEAN), "b")
+	eq_(DataTypes.to_enumeration_value(DataTypes.DATE), "d")
+	eq_(DataTypes.to_enumeration_value(DataTypes.ERROR), "e")
+	eq_(DataTypes.to_enumeration_value(DataTypes.INLINE_STRING), "inlineStr")
+	eq_(DataTypes.to_enumeration_value(DataTypes.NUMBER), "n")
+	eq_(DataTypes.to_enumeration_value(DataTypes.SHARED_STRING), "s")
+	eq_(DataTypes.to_enumeration_value(DataTypes.STRING), "str")
 
 def test__get_type():
-    eq_(DataTypes.get_type(15), DataTypes.NUMBER)
-    eq_(DataTypes.get_type(15.0), DataTypes.NUMBER)
-    eq_(DataTypes.get_type("test"), DataTypes.INLINE_STRING)
-    eq_(DataTypes.get_type(datetime.now()), DataTypes.DATE)
-    
+	eq_(DataTypes.get_type(15), DataTypes.NUMBER)
+	eq_(DataTypes.get_type(15.0), DataTypes.NUMBER)
+	eq_(DataTypes.get_type("test"), DataTypes.INLINE_STRING)
+	eq_(DataTypes.get_type(datetime.now()), DataTypes.DATE)
+	
 def test_numpy():
-    testData = numpy.ones((5, 5), dtype = int)
-    wb = Workbook()
-    ws = wb.new_sheet("Test 1", data=testData)
-    eq_(ws[1][1].value, 1)
-    eq_(DataTypes.get_type(ws[1][1].value), DataTypes.NUMBER)
-    wb.save("numpy-test.xlsx")
+	testData = numpy.ones((5, 5), dtype = int)
+	wb = Workbook()
+	ws = wb.new_sheet("Test 1", data=testData)
+	eq_(ws[1][1].value, 1)
+	eq_(DataTypes.get_type(ws[1][1].value), DataTypes.NUMBER)
+	wb.save("numpy-test.xlsx")