def test_bls_industry(self):
data = make_data(["IPUUN8111__L000"])
result = parse_data(fetch_data(data)).head(1)
expected = pd.DataFrame([99.718], columns=["IPUUN8111__L000"])
expected.index = pd.to_datetime(['2003-01-01'])
expected.index.name = 'stamp'
expected.columns.name = 'series_id'
tm.assert_frame_equal(result, expected)
def test_bls_industry(self):
data = make_data(["IPUUN8111__L000"])
result = parse_data(fetch_data(data)).head(1)
expected = pd.DataFrame([99.718], columns=["IPUUN8111__L000"])
expected.index = pd.to_datetime(['2003-01-01'])
expected.index.name = 'stamp'
expected.columns.name = 'series_id'
tm.assert_frame_equal(result, expected)
def test_bls_quarter(self):
data1 = json.dumps({"seriesid": ["PRS85006093", "PRS85006153"],
"startyear": "1994", "endyear": "2004"})
result = parse_data(fetch_data(data1)).head(1)
expected = pd.DataFrame({'PRS85006093': [69.303],
'PRS85006153': [81.559]})
expected.index = pd.to_datetime(['1994-01-01'])
expected.index.name = 'stamp'
expected.columns.name = 'series_id'
tm.assert_frame_equal(result, expected)
def test_bls_quarter(self):
data1 = json.dumps({
"seriesid": ["PRS85006093", "PRS85006153"],
"startyear": "1994",
"endyear": "2004"
})
result = parse_data(fetch_data(data1)).head(1)
expected = pd.DataFrame({
'PRS85006093': [69.303],
'PRS85006153': [81.559]
})
expected.index = pd.to_datetime(['1994-01-01'])
expected.index.name = 'stamp'
expected.columns.name = 'series_id'
tm.assert_frame_equal(result, expected)
