def testSingleValDictDataFrameCorrReturnSerie(self):
stockData = {"Blackstone": [49.56]
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stockData)
actual = npsy.countDF(df)
expected = pd.DataFrame(stockData).corr()
def testDictDataFrameCorrReturnSerie(self):
stockData = {"Blackstone": [49.56, 50.70, 51.18, 52.80, 52.87]
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stockData)
actual = npsy.countDF(df)
expected = pd.DataFrame(stockData).corr()
def testEmptyDataFrameCorrReturnEmptySeries(self):
stockData = {
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stockData)
actual = npsy.countDF(df)
expected = pd.DataFrame(stockData).corr()
def testDualArrayDictDataFrameCorrReturnSeries(self):
stockData = {"Blackstone": [49.56, 50.70, 51.18, 52.80, 52.87],
"KKR": [24.24, 24.60, 26.04, 26.90, 26.66]
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stockData)
actual = npsy.countDF(df)
expected = pd.DataFrame(stockData).corr()