Don't use a mask when unboxing Values using applymap as it can alter …

…the dataframe types.

E.g. object->float, resulting in non-float values becoming nan.

setup.py

@@ -9,7 +9,7 @@
     description="A Python package to ease writing tables of data to Excel",
     packages=find_packages(),
     test_suite="nose.collector",
-    version="0.2.2",
+    version="0.2.3",
     install_requires=["pandas>=0.12.0"],
     extras_require={
         "xlsxwriter": ["xlsxwriter>=0.7.2"],

xltable/table.py

@@ -220,9 +220,8 @@ def get_formula(df, element):
                 df[mask_df] = index_df[mask_df].applymap(partial(get_formula, df))
 
             # replace any Cell instances with their value
-            mask_df = df.applymap(lambda x: isinstance(x, Value))
-            if mask_df.any().any():
-                df[mask_df] = df[mask_df].applymap(lambda x: x.value if isinstance(x, Value) else x)
+            if df.applymap(lambda x: isinstance(x, Value)).any().any():
+                df = df.applymap(lambda x: x.value if isinstance(x, Value) else x)
 
             # add the index and or columns to the values part of the dataframe
             if self.__include_index or self.__include_columns: