DOC: Fixed outdated doc-string, added missing default values, added missing optional parameters for some io classes (+1 squashed commit)

Squashed commits:
[7851d88] DOC: Fixed outdated doc-string, added missing default values, added missing optional parameters for some io classes (+1 squashed commit)
Squashed commits:
[1a77b43] DOC: Fixed outdated doc-string, added missing default values, added missing optional parameters for some io classes (+1 squashed commit)
Squashed commits:
[739945e] DOC: Fixed outdated doc-string, added missing default values, added missing optional parameters for some io classes

Author: terrytangyuan

pandas/io/data.py

@@ -53,12 +53,17 @@ def DataReader(name, data_source=None, start=None, end=None,
     name : str or list of strs
         the name of the dataset. Some data sources (yahoo, google, fred) will
         accept a list of names.
-    data_source: str
+    data_source: str, default: None
         the data source ("yahoo", "google", "fred", or "ff")
-    start : {datetime, None}
+    start : datetime, default: None
         left boundary for range (defaults to 1/1/2010)
-    end : {datetime, None}
+    end : datetime, default: None
         right boundary for range (defaults to today)
+    retry_count : int, default 3
+        Number of times to retry query request.
+    pause : numeric, default 0.001
+        Time, in seconds, to pause between consecutive queries of chunks. If
+        single value given for symbol, represents the pause between retries.
 
     Examples
     ----------
@@ -398,28 +403,28 @@ def get_data_yahoo(symbols=None, start=None, end=None, retry_count=3,
 
     Parameters
     ----------
-    symbols : string, array-like object (list, tuple, Series), or DataFrame
+    symbols : string, array-like object (list, tuple, Series), or DataFrame, default: None
         Single stock symbol (ticker), array-like object of symbols or
-        DataFrame with index containing stock symbols.
+        DataFrame with index containing stock symbols
     start : string, (defaults to '1/1/2010')
         Starting date, timestamp. Parses many different kind of date
         representations (e.g., 'JAN-01-2010', '1/1/10', 'Jan, 1, 1980')
     end : string, (defaults to today)
         Ending date, timestamp. Same format as starting date.
-    retry_count : int, default 3
+    retry_count : int, default: 3
         Number of times to retry query request.
-    pause : int, default 0
+    pause : numeric, default: 0.001
         Time, in seconds, to pause between consecutive queries of chunks. If
         single value given for symbol, represents the pause between retries.
-    adjust_price : bool, default False
+    adjust_price : bool, default: False
         If True, adjusts all prices in hist_data ('Open', 'High', 'Low',
         'Close') based on 'Adj Close' price. Adds 'Adj_Ratio' column and drops
         'Adj Close'.
-    ret_index : bool, default False
+    ret_index : bool, default: False
         If True, includes a simple return index 'Ret_Index' in hist_data.
-    chunksize : int, default 25
+    chunksize : int, default: 25
         Number of symbols to download consecutively before intiating pause.
-    interval : string, default 'd'
+    interval : string, default: 'd'
         Time interval code, valid values are 'd' for daily, 'w' for weekly,
         'm' for monthly and 'v' for dividend.
 
@@ -451,13 +456,15 @@ def get_data_google(symbols=None, start=None, end=None, retry_count=3,
         representations (e.g., 'JAN-01-2010', '1/1/10', 'Jan, 1, 1980')
     end : string, (defaults to today)
         Ending date, timestamp. Same format as starting date.
-    retry_count : int, default 3
+    retry_count : int, default: 3
         Number of times to retry query request.
-    pause : int, default 0
+    pause : numeric, default: 0.001
         Time, in seconds, to pause between consecutive queries of chunks. If
         single value given for symbol, represents the pause between retries.
-    chunksize : int, default 25
+    chunksize : int, default: 25
         Number of symbols to download consecutively before intiating pause.
+    ret_index : bool, default: False
+        If True, includes a simple return index 'Ret_Index' in hist_data.
 
     Returns
     -------
@@ -903,10 +910,10 @@ def get_near_stock_price(self, above_below=2, call=True, put=False,
             The number of strike prices above and below the stock price that
             should be taken
 
-        call : bool
+        call : bool, default: True
             Tells the function whether or not it should be using calls
 
-        put : bool
+        put : bool, default: False
             Tells the function weather or not it should be using puts
 
         month : number, int, optional(default=None)

pandas/io/ga.py

@@ -30,10 +30,9 @@
 dimensions : list of str
     Un-prefixed dimension variable names
 start_date : str/date/datetime
-end_date : str/date/datetime, optional
-    Defaults to today
-segment : list of str, optional
-filters : list of str, optional
+end_date : str/date/datetime, optional, default is None but internally set as today
+segment : list of str, optional, default: None
+filters : list of str, optional, default: None
 start_index : int, default 1
 max_results : int, default 10000
     If >10000, must specify chunksize or ValueError will be raised"""
@@ -58,21 +57,21 @@
     Sort output by index or list of columns
 chunksize : int, optional
     If max_results >10000, specifies the number of rows per iteration
-index_col : str/list of str/dict, optional
+index_col : str/list of str/dict, optional, default: None
     If unspecified then dimension variables are set as index
-parse_dates : bool/list/dict, default True
-keep_date_col : boolean, default False
-date_parser : optional
-na_values : optional
-converters : optional
+parse_dates : bool/list/dict, default: True
+keep_date_col : boolean, default: False
+date_parser : optional, default: None
+na_values : optional, default: None
+converters : optional, default: None
 dayfirst : bool, default False
     Informs date parsing
-account_name : str, optional
-account_id : str, optional
-property_name : str, optional
-property_id : str, optional
-profile_name : str, optional
-profile_id : str, optional
+account_name : str, optional, default: None
+account_id : str, optional, default: None
+property_name : str, optional, default: None
+property_id : str, optional, default: None
+profile_name : str, optional, default: None
+profile_id : str, optional, default: None
 %%(extras)s
 Returns
 -------
@@ -192,8 +191,8 @@ def get_account(self, name=None, id=None, **kwargs):
 
         Parameters
         ----------
-        name : str, optional
-        id : str, optional
+        name : str, optional, default: None
+        id : str, optional, default: None
         """
         accounts = self.service.management().accounts().list().execute()
         return _get_match(accounts, name, id, **kwargs)
@@ -205,9 +204,9 @@ def get_web_property(self, account_id=None, name=None, id=None, **kwargs):
 
         Parameters
         ----------
-        account_id : str, optional
-        name : str, optional
-        id : str, optional
+        account_id : str, optional, default: None
+        name : str, optional, default: None
+        id : str, optional, default: None
         """
         prop_store = self.service.management().webproperties()
         kwds = {}
@@ -225,10 +224,10 @@ def get_profile(self, account_id=None, web_property_id=None, name=None,
 
         Parameters
         ----------
-        account_id : str, optional
-        web_property_id : str, optional
-        name : str, optional
-        id : str, optional
+        account_id : str, optional, default: None
+        web_property_id : str, optional, default: None
+        name : str, optional, default: None
+        id : str, optional, default: None
         """
         profile_store = self.service.management().profiles()
         kwds = {}

pandas/io/json.py

@@ -110,12 +110,12 @@ def read_json(path_or_buf=None, orient=None, typ='frame', dtype=True,
 
     Parameters
     ----------
-    filepath_or_buffer : a valid JSON string or file-like
+    path_or_buf : a valid JSON string or file-like, default: None
         The string could be a URL. Valid URL schemes include http, ftp, s3, and
         file. For file URLs, a host is expected. For instance, a local file
         could be ``file://localhost/path/to/table.json``
 
-    orient
+    orient  
 
         * `Series`
 
@@ -162,13 +162,13 @@ def read_json(path_or_buf=None, orient=None, typ='frame', dtype=True,
         
         * it is ``'date'``
 
-    keep_default_dates : boolean, default True.
+    keep_default_dates : boolean, default True
         If parsing dates, then parse the default datelike columns
     numpy : boolean, default False
         Direct decoding to numpy arrays. Supports numeric data only, but
         non-numeric column and index labels are supported. Note also that the
         JSON ordering MUST be the same for each term if numpy=True.
-    precise_float : boolean, default False.
+    precise_float : boolean, default False
         Set to enable usage of higher precision (strtod) function when
         decoding string to double values. Default (False) is to use fast but
         less precise builtin functionality
@@ -582,6 +582,8 @@ def nested_to_record(ds, prefix="", level=0):
     Parameters
     ----------
     ds : dict or list of dicts
+    prefix: the prefix, optional, default: ""
+    level: the number of levels in the jason string, optional, default: 0
 
     Returns
     -------
@@ -646,7 +648,7 @@ def json_normalize(data, record_path=None, meta=None,
     record_path : string or list of strings, default None
         Path in each object to list of records. If not passed, data will be
         assumed to be an array of records
-    meta : list of paths (string or list of strings)
+    meta : list of paths (string or list of strings), default None
         Fields to use as metadata for each record in resulting table
     record_prefix : string, default None
         If True, prefix records with dotted (?) path, e.g. foo.bar.field if