From 2118659da5b8347b0e8128a6b6712f695b4708ce Mon Sep 17 00:00:00 2001
From: ChrisStevens <Chris98@gmail.com>
Date: Tue, 23 Feb 2016 12:55:11 -0500
Subject: [PATCH] Push is no longer supported

---
 Quandl/Quandl.py | 73 ------------------------------------------------
 1 file changed, 73 deletions(-)

diff --git a/Quandl/Quandl.py b/Quandl/Quandl.py
index a0787a4..fd84a82 100644
--- a/Quandl/Quandl.py
+++ b/Quandl/Quandl.py
@@ -141,79 +141,6 @@ def get(dataset, **kwargs):
 
     return urldata
 
-def push(data, code, name, authtoken='', desc='', override=False, verbose=False, text=None):
-    ''' Upload a pandas Dataframe to Quandl and returns link to the dataset.
-    :param data: (required), pandas ts or numpy array
-    :param str code: (required), Dataset code
-                 must consist of only capital letters, numbers, and underscores
-    :param str name: (required), Dataset name
-    :param str authtoken: (required), to upload data
-    :param str desc: (optional), Description of dataset
-    :param bool overide: (optional), whether to overide dataset of same code
-    :param bool verbose: specify whether to print output text to stdout, default is False.
-    :param str text: Deprecated. Use `verbose` instead.
-    :returns: :str: link to uploaded dataset'''
-
-    override = str(override).lower()
-    if text is not None:
-        print('Deprecated: "text" is deprecated and will be removed in next release, use "verbose" instead.')
-        verbose = text
-    token = _getauthtoken(authtoken, verbose)
-    if token == '':
-        error = ("You need an API token to upload your data to Quandl, "
-                 "please see www.quandl.com/API for more information.")
-        raise MissingToken(error)
-
-    #test that code is acceptable format
-    _pushcodetest(code)
-    datestr = ''
-
-    # Verify and format the data for upload.
-    if not isinstance(data, pd.core.frame.DataFrame):
-        error = "only pandas DataFrames are accepted for upload at this time"
-        raise ValueError(error)
-
-    # check if indexed by date
-    data_interm = data.to_records()
-    index = data_interm.dtype.names
-    datestr += ','.join(index) + '\n'
-
-    #format data for uploading
-    for i in data_interm:
-            # Check if index is a date
-        if isinstance(i[0], datetime.datetime):
-            datestr += i[0].date().isoformat()
-        else:
-            try:
-                datestr += _parse_dates(str(i[0]))
-            except ValueError:
-                error = ("Please check your indices, one of them is "
-                         "not a recognizable date")
-                raise DateNotRecognized(error)
-        for n in i:
-            if isinstance(n, (float, int)):
-                datestr += ',' + str(n)
-        datestr += '\n'
-
-    params = {'name': name,
-              'code': code,
-              'description': desc,
-              'update_or_create': override,
-              'data': datestr}
-
-    url = QUANDL_API_URL + 'datasets.json?auth_token=' + token
-    jsonreturn = _htmlpush(url, params)
-    if (jsonreturn['errors']
-        and jsonreturn['errors']['code'][0] == 'has already been taken'):
-        error = ("You are trying to overwrite a dataset which already "
-                 "exists on Quandl. If this is what you wish to do please "
-                 "recall the function with overide = True")
-        raise ValueError(error)
-
-    rtn = ('http://www.quandl.com/' + jsonreturn['source_code'] + '/' +
-           jsonreturn['code'])
-    #Return URL of uploaded dataset
-    return rtn
 
 
 def search(query, source=None, page=1, authtoken=None, verbose=True, prints=None):