v1.6.3365

tabxlsx.md

@@ -95,6 +95,9 @@ faster than openpyx1 for small datasets. For large datasets it is 3-4x faster.
 | 100000 numbers openpyxl write xlsx time | 00'09.300701
 | 1.000.000 numbers tabxlsx write xlsx time  | 00'27.265536
 | 1.000.000 numbers openpyxl write xlsx time | 01'31.813367
+| 1.000.000 numbers read xls and write json | 00'41.019995
+| 1.000.000 numbers read xlsx and write json | 00'55.683582
+
 
 Have fun!
 

tabxlsx.py

@@ -6,7 +6,7 @@
 If the input contains only one table then it is used, otherwise specify which should be printed."""
 
 __copyright__ = "(C) 2023-2024 Guido Draheim, licensed under the Apache License 2.0"""
-__version__ = "1.6.3361"
+__version__ = "1.6.3365"
 
 from typing import Union, List, Dict, cast, Tuple, Optional, TextIO, Iterable, NamedTuple, Mapping, TypeVar, Generic, Iterator
 from collections import OrderedDict

tabxlsx.tests.py

@@ -1,7 +1,7 @@
 #! /usr/bin/env python3
 
 __copyright__ = "(C) 2017-2024 Guido Draheim, licensed under the Apache License 2.0"""
-__version__ = "1.6.3361"
+__version__ = "1.6.3365"
 
 from tabxlsx import tabtotext, print_tabtotext, print_tablist, CellValue, StrToTime, StrToDate
 from tabxlsx import tabtoXLSX, tablistfileXLSX, tablistfile, tablistmap, tablistfor
@@ -2642,9 +2642,9 @@ def test_9888(self) -> None:
         tabs: List[TabSheet] = []
         for sheet in range(5):
             rows: JSONList = []
-            for row in range(BIGFILE//10):
+            for row in range(BIGFILE // 10):
                 num = sheet * BIGFILE + row
-                vals: JSONDict = {"a":  num, "b": BIGFILE+num}
+                vals: JSONDict = {"a": num, "b": BIGFILE + num}
                 rows.append(vals)
             title = "data%i" % sheet
             tabs.append(TabSheet(rows, [], title))