DOC: Fixing spaces before non param colons in docstrings (pandas-dev#23805)

Author: bk521234

pandas/core/algorithms.py

@@ -856,8 +856,8 @@ def rank(values, axis=0, method='average', na_option='keep',
         The method by which tiebreaks are broken during the ranking.
     na_option : {'keep', 'top'}, default 'keep'
         The method by which NaNs are placed in the ranking.
-        - ``keep`` : rank each NaN value with a NaN ranking
-        - ``top`` : replace each NaN with either +/- inf so that they
+        - ``keep``: rank each NaN value with a NaN ranking
+        - ``top``: replace each NaN with either +/- inf so that they
                    there are ranked at the top
     ascending : boolean, default True
         Whether or not the elements should be ranked in ascending order.
@@ -1473,10 +1473,10 @@ def take(arr, indices, axis=0, allow_fill=False, fill_value=None):
     allow_fill : bool, default False
         How to handle negative values in `indices`.
 
-        * False : negative values in `indices` indicate positional indices
+        * False: negative values in `indices` indicate positional indices
           from the right (the default). This is similar to :func:`numpy.take`.
 
-        * True : negative values in `indices` indicate
+        * True: negative values in `indices` indicate
           missing values. These values are set to `fill_value`. Any other
           other negative values raise a ``ValueError``.
 

pandas/core/series.py

@@ -77,7 +77,7 @@
 def remove_na(arr):
     """Remove null values from array like structure.
 
-    .. deprecated :: 0.21.0
+    .. deprecated:: 0.21.0
         Use s[s.notnull()] instead.
     """
 

pandas/io/excel.py

@@ -1647,15 +1647,15 @@ def _style_to_xlwt(cls, item, firstlevel=True, field_sep=',',
         for example:
 
             hstyle = {"font": {"bold": True},
-            "border" : {"top": "thin",
-                        "right": "thin",
-                        "bottom": "thin",
-                        "left": "thin"},
-            "align" : {"horiz": "center"}}
+            "border": {"top": "thin",
+                    "right": "thin",
+                    "bottom": "thin",
+                    "left": "thin"},
+            "align": {"horiz": "center"}}
             will be converted to
-            font : bold on; \
-                    border : top thin, right thin, bottom thin, left thin; \
-                    align : horiz center;
+            font: bold on; \
+                    border: top thin, right thin, bottom thin, left thin; \
+                    align: horiz center;
         """
         if hasattr(item, 'items'):
             if firstlevel:

pandas/plotting/_core.py

@@ -685,12 +685,12 @@ def _parse_errorbars(self, label, err):
         or return the error DataFrame/dict
 
         Error bars can be specified in several ways:
-            Series : the user provides a pandas.Series object of the same
+            Series: the user provides a pandas.Series object of the same
                     length as the data
-            ndarray : provides a np.ndarray of the same length as the data
-            DataFrame/dict : error values are paired with keys matching the
+            ndarray: provides a np.ndarray of the same length as the data
+            DataFrame/dict: error values are paired with keys matching the
                     key in the plotted DataFrame
-            str : the name of the column within the plotted DataFrame
+            str: the name of the column within the plotted DataFrame
         """
 
         if err is None:

pandas/plotting/_tools.py

@@ -30,10 +30,10 @@ def table(ax, data, rowLabels=None, colLabels=None, **kwargs):
 
     Parameters
     ----------
-    `ax` : Matplotlib axes object
-    `data` : DataFrame or Series
+    ax : Matplotlib axes object
+    data : DataFrame or Series
         data for table contents
-    `kwargs` : keywords, optional
+    kwargs : keywords, optional
         keyword arguments which passed to matplotlib.table.table.
         If `rowLabels` or `colLabels` is not specified, data index or column
         name will be used.