def testaverageDFReturnsEmptySeriesMean(self):
stockData ={
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stockData)
actual = npsy.averageDF(df)
expected = pd.DataFrame(stockData).mean()
def testaverageDFReturnsSeriesMean(self):
stockData ={
"Blackstone": [49.56, 50.70, 51.18, 52.80, 52.87, 24.24, 24.60, 49.56, 26.90, 26.66]
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stockData)
actual = npsy.averageDF(df)
expected = pd.DataFrame(stockData).mean()
