def testEmptyHeadDFReturnsHeadDataFame(self):
stocksData ={
}
npsy = NumpySciPy()
df = npsy.initDataFrame(stocksData)
actual = npsy.headDF(df)
expected = pd.DataFrame(stocksData).head()
def testHeadDFReturnsHeadDataFame(self):
stocksData ={
"Blackstone":[49.56,50.70,51.18,52.80,52.87],
"KKR": [24.24,24.60,26.04,26.90,26.66]
}
dates = ['5/4/20','5/5/20','5/6/20','5/8/20','5/9/20']
npsy = NumpySciPy()
df = npsy.initDataFrame(stocksData,rows=dates)
actual = npsy.headDF(df)
expected = pd.DataFrame(stocksData,index=dates).head()
