change default

Author: charlesdong1991

pandas/io/formats/format.py

@@ -254,7 +254,7 @@ def _get_formatted_values(self):
         values_to_format = self.tr_series._formatting_values()
 
         if self.index:
-            leading_space = None
+            leading_space = 'compat'
         else:
             leading_space = False
         return format_array(values_to_format, None,
@@ -712,7 +712,7 @@ def _format_col(self, i):
         values_to_format = frame.iloc[:, i]._formatting_values()
 
         if self.index:
-            leading_space = None
+            leading_space = 'compat'
         else:
             leading_space = False
         return format_array(values_to_format, formatter,
@@ -860,7 +860,7 @@ def _get_column_name_list(self):
 
 def format_array(values, formatter, float_format=None, na_rep='NaN',
                  digits=None, space=None, justify='right', decimal='.',
-                 leading_space=None):
+                 leading_space='compat'):
     """
     Format an array for printing.
 
@@ -874,7 +874,7 @@ def format_array(values, formatter, float_format=None, na_rep='NaN',
     space
     justify
     decimal
-    leading_space : bool, optional
+    leading_space : bool, default is 'compat'
         Whether the array should be formatted with a leading space.
         When an array as a column of a Series or DataFrame, we do want
         the leading space to pad between columns.
@@ -924,7 +924,7 @@ class GenericArrayFormatter(object):
 
     def __init__(self, values, digits=7, formatter=None, na_rep='NaN',
                  space=12, float_format=None, justify='right', decimal='.',
-                 quoting=None, fixed_width=True, leading_space=None):
+                 quoting=None, fixed_width=True, leading_space='compat'):
         self.values = values
         self.digits = digits
         self.na_rep = na_rep
@@ -976,12 +976,12 @@ def _format(x):
 
         is_float_type = lib.map_infer(vals, is_float) & notna(vals)
         leading_space = self.leading_space
-        if leading_space is None:
+        if leading_space == 'compat':
             leading_space = is_float_type.any()
 
         fmt_values = []
         for i, v in enumerate(vals):
-            if not is_float_type[i] and leading_space:
+            if not is_float_type[i] and leading_space is True:
                 fmt_values.append(u' {v}'.format(v=_format(v)))
             elif is_float_type[i]:
                 fmt_values.append(float_format(v))