Draft solution to nithinmurali#423

When include_tailing_empty=False, now returns a DataFrame just as wide
as necessary to accommodate the header/data. Issues a warning if
has_header=True and >=1 column name is an empty string.

pygsheets/worksheet.py

@@ -13,6 +13,8 @@
 import warnings
 import logging
 
+import pdb
+
 from pygsheets.cell import Cell
 from pygsheets.datarange import DataRange
 from pygsheets.address import GridRange, Address
@@ -1416,7 +1418,7 @@ def get_as_df(self, has_header=True, index_column=None, start=None, end=None, nu
         """
         if not self._linked: return False
 
-        include_tailing_empty = True if has_header else kwargs.get('include_tailing_empty', False)
+        include_tailing_empty = kwargs.get('include_tailing_empty', False)
         include_tailing_empty_rows = kwargs.get('include_tailing_empty_rows', False)
         index_column = index_column or kwargs.get('index_colum', None)
 
@@ -1431,13 +1433,18 @@ def get_as_df(self, has_header=True, index_column=None, start=None, end=None, nu
         else:
             values = self.get_all_values(returnas='matrix', include_tailing_empty=include_tailing_empty,
                                          value_render=value_render, include_tailing_empty_rows=include_tailing_empty_rows)
+
+        max_row = max(len(row) for row in values)
+        values = [row + [empty_value] * (max_row - len(row)) for row in values]
 
         if numerize:
             values = [numericise_all(row, empty_value) for row in values]
 
         if has_header:
             keys = values[0]
-            values = [row[:len(keys)] for row in values[1:]]
+            values = values[1:]
+            if any(key == '' for key in keys):
+                warnings.warn('At least one column name in the data frame is an empty string. If this is a concern, please specify include_tailing_empty=False and/or ensure that each column containing data has a name.')
             df = pd.DataFrame(values, columns=keys)
         else:
             df = pd.DataFrame(values)