bug fix with dates
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parent
79b83c71d5
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@ -259,8 +259,6 @@ class Components :
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_df[name] = _df[name].apply(lambda value: '' if str(value) == 'NaT' else str(value)[:10])
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_df[name] = _df[name].apply(lambda value: '' if str(value) == 'NaT' else str(value)[:10])
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#_df[name] = _df[name].dt.date
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#_df[name] = _df[name].dt.date
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# _df[name] = pd.to_datetime(_df[name].fillna(''),errors='coerce')
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# _df[name] = pd.to_datetime(_df[name].fillna(''),errors='coerce')
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else:
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print ([' ** ',name,_item['type']])
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else:
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else:
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if _item['type'] == 'INTEGER' :
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if _item['type'] == 'INTEGER' :
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_type = np.int64
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_type = np.int64
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@ -660,7 +658,7 @@ if __name__ == '__main__' :
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# We need to harmonize the keys if any at all in this case we do this for shuffle or generate operations
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# We need to harmonize the keys if any at all in this case we do this for shuffle or generate operations
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#
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#
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print (['finalize' in SYS_ARGS, ('generate' in SYS_ARGS or 'shuffle' in SYS_ARGS) ])
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print (['finalize' in SYS_ARGS, ('generate' in SYS_ARGS or 'shuffle' in SYS_ARGS) ])
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if 'finalize' in SYS_ARGS or ('generate' in SYS_ARGS or 'shuffle' in SYS_ARGS) :
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if 'autopilot' in SYS_ARGS or 'finalize' in SYS_ARGS or ('generate' in SYS_ARGS or 'shuffle' in SYS_ARGS) :
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#
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#
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# We should pull all the primary keys and regenerate them in order to insure some form of consistency
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# We should pull all the primary keys and regenerate them in order to insure some form of consistency
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#
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#
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2
setup.py
2
setup.py
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@ -5,7 +5,7 @@ import sys
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def read(fname):
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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args = {"name":"data-maker",
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args = {"name":"data-maker",
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"version":"1.4.7.4",
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"version":"1.4.7.5",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo']
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args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo']
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