def test_data_calls_connection_get(self, mock):
datatable = Datatable('ZACKS/FC')
Data.page(datatable, params={'ticker': ['AAPL', 'MSFT'],
'per_end_date': {'gte': '2015-01-01'},
'qopts': {'columns': ['ticker', 'per_end_date']}})
expected = call('get', 'datatables/ZACKS/FC',
params={'ticker[]': ['AAPL', 'MSFT'],
'per_end_date.gte': '2015-01-01',
'qopts.columns[]': ['ticker', 'per_end_date']})
self.assertEqual(mock.call_args, expected)
def test_data_calls_connection_post(self, mock):
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
Data.page(datatable, params={'ticker': ['AAPL', 'MSFT'],
'per_end_date': {'gte': '2015-01-01'},
'qopts': {'columns': ['ticker', 'per_end_date']}})
expected = call('post', 'datatables/ZACKS/FC',
json={'ticker': ['AAPL', 'MSFT'],
'per_end_date.gte': '2015-01-01',
'qopts.columns': ['ticker', 'per_end_date']})
self.assertEqual(mock.call_args, expected)
def test_to_numpy_returns_numpy_object(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_numpy()
self.assertIsInstance(data, numpy.core.records.recarray)
def test_pandas_dataframe_index_is_none(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertEqual(df.index.name, 'None')
def test_values_and_meta_exist(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
self.assertIsNotNone(results.values)
self.assertIsNotNone(results.meta)
def test_values_and_meta_exist(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
self.assertIsNotNone(results.values)
self.assertIsNotNone(results.meta)
def test_to_numpy_returns_numpy_object(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_numpy()
self.assertIsInstance(data, numpy.core.records.recarray)
def test_to_pandas_returns_pandas_dataframe_object(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df, pandas.core.frame.DataFrame)
def test_pandas_dataframe_index_is_none(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertEqual(df.index.name, 'None')
def test_to_pandas_returns_pandas_dataframe_object(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df, pandas.core.frame.DataFrame)
def test_pandas_dataframe_date_field_is_datetime(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df['per_end_date'][0], pandas.datetime)
self.assertIsInstance(df['per_end_date'][1], pandas.datetime)
self.assertIsInstance(df['per_end_date'][2], pandas.datetime)
self.assertIsInstance(df['per_end_date'][3], pandas.datetime)
def test_pandas_dataframe_date_field_is_datetime(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df['per_end_date'][0], pandas.datetime)
self.assertIsInstance(df['per_end_date'][1], pandas.datetime)
self.assertIsInstance(df['per_end_date'][2], pandas.datetime)
self.assertIsInstance(df['per_end_date'][3], pandas.datetime)
def test_to_csv_returns_expected_csv(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_csv()
expected = "None,per_end_date,ticker,tot_oper_exp\n" + \
"0,2015-07-11,AAPL,456.9\n" + \
"1,2015-07-13,433.3,\n" + \
"2,2015-07-14,AAPL,419.1\n" + \
"3,2015-07-15,476.5,\n"
self.assertEqual(data, expected)
def test_to_csv_returns_expected_csv(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_csv()
expected = "None,per_end_date,ticker,tot_oper_exp\n" + \
"0,2015-07-11,AAPL,456.9\n" + \
"1,2015-07-13,433.3,\n" + \
"2,2015-07-14,AAPL,419.1\n" + \
"3,2015-07-15,476.5,\n"
self.assertEqual(data, expected)
def test_pandas_dataframe_date_field_is_datetime(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df['per_end_date'][0], pandas.datetime)
self.assertIsInstance(df['per_end_date'][1], pandas.datetime)
self.assertIsInstance(df['per_end_date'][2], pandas.datetime)
self.assertIsInstance(df['per_end_date'][3], pandas.datetime)
def test_pandas_dataframe_date_field_is_datetime(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df['per_end_date'][0], pandas.datetime)
self.assertIsInstance(df['per_end_date'][1], pandas.datetime)
self.assertIsInstance(df['per_end_date'][2], pandas.datetime)
self.assertIsInstance(df['per_end_date'][3], pandas.datetime)
def test_data_calls_connection_get(self, mock):
datatable = Datatable('ZACKS/FC')
Data.page(datatable,
params={
'ticker': ['AAPL', 'MSFT'],
'per_end_date': {
'gte': '2015-01-01'
},
'qopts': {
'columns': ['ticker', 'per_end_date']
}
})
expected = call('get',
'datatables/ZACKS/FC',
params={
'ticker[]': ['AAPL', 'MSFT'],
'per_end_date.gte': '2015-01-01',
'qopts.columns[]': ['ticker', 'per_end_date']
})
self.assertEqual(mock.call_args, expected)
def test_data_calls_connection_post(self, mock):
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
Data.page(datatable,
params={
'ticker': ['AAPL', 'MSFT'],
'per_end_date': {
'gte': '2015-01-01'
},
'qopts': {
'columns': ['ticker', 'per_end_date']
}
})
expected = call('post',
'datatables/ZACKS/FC',
json={
'ticker': ['AAPL', 'MSFT'],
'per_end_date.gte': '2015-01-01',
'qopts.columns': ['ticker', 'per_end_date']
})
self.assertEqual(mock.call_args, expected)
def test_to_csv_returns_expected_csv(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_csv()
expected = "None,per_end_date,ticker,tot_oper_exp\n" + \
"0,2015-07-11,AAPL,456.9\n" + \
"1,2015-07-13,433.3,\n" + \
"2,2015-07-14,AAPL,419.1\n" + \
"3,2015-07-15,476.5,\n"
self.assertEqual(data, expected)
def test_to_csv_returns_expected_csv(self, request_method):
if request_method == 'POST':
RequestType.USE_GET_REQUEST = False
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_csv()
expected = "None,per_end_date,ticker,tot_oper_exp\n" + \
"0,2015-07-11,AAPL,456.9\n" + \
"1,2015-07-13,433.3,\n" + \
"2,2015-07-14,AAPL,419.1\n" + \
"3,2015-07-15,476.5,\n"
self.assertEqual(data, expected)
def test_to_pandas_returns_pandas_dataframe_object(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df, pandas.core.frame.DataFrame)
def test_values_and_meta_exist(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
self.assertIsNotNone(results.values)
self.assertIsNotNone(results.meta)
def test_values_and_meta_exist(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
self.assertIsNotNone(results.values)
self.assertIsNotNone(results.meta)
def test_to_numpy_returns_numpy_object(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_numpy()
self.assertIsInstance(data, numpy.core.records.recarray)
def test_to_pandas_returns_pandas_dataframe_object(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertIsInstance(df, pandas.core.frame.DataFrame)
def test_pandas_dataframe_index_is_none(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertEqual(df.index.name, 'None')
def test_pandas_dataframe_index_is_none(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
df = results.to_pandas()
self.assertEqual(df.index.name, 'None')
def test_to_numpy_returns_numpy_object(self):
datatable = Datatable('ZACKS/FC')
results = Data.page(datatable, params={})
data = results.to_numpy()
self.assertIsInstance(data, numpy.core.records.recarray)