我是机器学习领域的初学者。我从下面的代码开始:
#import modules
import pandas as pd
import quandl
df = quandl.get('WIKI/GOOGL')
#using required data frames
df = df[['Adj.Open','Adj.High','Adj.Low','Adj.Close','Adj.Volume',]]
#getting percent change in High and Low at closing
df['HL_PCT'] = (df['Adj.High'] - df['Adj.Close']) / df['Adj.Close'] * 100.0
#getting percent change in price
df['PCT_change'] = (df['Adj.Close'] - df['Adj.Open']) / df['Adj.Open'] * 100.0
df = df[['Adj.Close','HL_PCT','PCT_change','Adj.Volume']]
print(df.head())
但是我收到索引错误:
raise KeyError('%s not in index' % objarr[mask])
KeyError: "['Adj.Open' 'Adj.High' 'Adj.Low' 'Adj.Close' 'Adj.Volume'] not in index"
该如何解决?
答案 0 :(得分:3)
在您的API源数据中,.
df[['Adj. Open','Adj. High','Adj. Low','Adj. Close','Adj. Volume']]
答案 1 :(得分:1)
每个.
后都有空格,请参见下面的代码
import pandas as pd
import quandl
df = quandl.get('WIKI/GOOGL')
#using required data frames
df=df[['Adj. Open', 'Adj. High', 'Adj. Low', 'Adj. Close', 'Adj. Volume']]
#getting percent change in High and Low at closing
df['HL_PCT'] = (df['Adj. High'] - df['Adj. Close']) / df['Adj. Close'] * 100.0
#getting percent change in price
df['PCT_change'] = (df['Adj. Close'] - df['Adj. Open']) / df['Adj. Open'] * 100.0
df = df[['Adj. Close','HL_PCT','PCT_change','Adj. Volume']]
print(df.head())
Adj. Close HL_PCT PCT_change Adj. Volume
Date
2004-08-19 50.322842 3.712563 0.324968 44659000.0
2004-08-20 54.322689 0.710922 7.227007 22834300.0
2004-08-23 54.869377 3.729433 -1.227880 18256100.0
2004-08-24 52.597363 6.417469 -5.726357 15247300.0
2004-08-25 53.164113 1.886792 1.183658 9188600.0