Pandas - KeyError: columns not in index
Pandas - KeyError: columns not in index
import pandas as pd
import quandl
df=quandl.get('WIKI/GOOGL')
#print(df.head())
df=df[['Adj.Open','Adj.High','Adj.Low','Adj.Close','Adj.Volume']]
df['HL_PCT'] =(df['Adj.High']-df['Adj.Close'])/df['Adj.Close'] * 100
df['PCT_change'] =(df['Adj.Close']-df['Adj.Open'])/df['Adj.Open'] * 100
df=df[['Adj.Close','HT_PCT','PCT_change','Adj.Volume']]
KeyError: "['Adj.Open' 'Adj.High' 'Adj.Low' 'Adj.Close' 'Adj.Volume'] not in index"
您需要在列名称中添加 space - 在 .
之后添加一个 space:
print (df.columns.tolist())
['Open', 'High', 'Low', 'Close', 'Volume', 'Ex-Dividend', 'Split Ratio',
'Adj. Open', 'Adj. High', 'Adj. Low', 'Adj. Close', 'Adj. Volume']
import pandas as pd
import quandl
df=quandl.get('WIKI/GOOGL')
#print(df.head())
#print (df.columns.tolist())
df=df[['Adj. Open','Adj. High','Adj. Low','Adj. Close','Adj. Volume']]
df['HL_PCT'] =(df['Adj. High']-df['Adj. Close'])/df['Adj. Close'] * 100
df['PCT_change'] =(df['Adj. Close']-df['Adj. Open'])/df['Adj. Open'] * 100
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
如果上述解决方案无效,您可以尝试:
#pandas below 0.24+
print (df.columns.values.tolist())
#pandas above 0.24+
print (df.columns.to_numpy().tolist())
import pandas as pd
import quandl
df=quandl.get('WIKI/GOOGL')
#print(df.head())
df=df[['Adj.Open','Adj.High','Adj.Low','Adj.Close','Adj.Volume']]
df['HL_PCT'] =(df['Adj.High']-df['Adj.Close'])/df['Adj.Close'] * 100
df['PCT_change'] =(df['Adj.Close']-df['Adj.Open'])/df['Adj.Open'] * 100
df=df[['Adj.Close','HT_PCT','PCT_change','Adj.Volume']]
KeyError: "['Adj.Open' 'Adj.High' 'Adj.Low' 'Adj.Close' 'Adj.Volume'] not in index"
您需要在列名称中添加 space - 在 .
之后添加一个 space:
print (df.columns.tolist())
['Open', 'High', 'Low', 'Close', 'Volume', 'Ex-Dividend', 'Split Ratio',
'Adj. Open', 'Adj. High', 'Adj. Low', 'Adj. Close', 'Adj. Volume']
import pandas as pd
import quandl
df=quandl.get('WIKI/GOOGL')
#print(df.head())
#print (df.columns.tolist())
df=df[['Adj. Open','Adj. High','Adj. Low','Adj. Close','Adj. Volume']]
df['HL_PCT'] =(df['Adj. High']-df['Adj. Close'])/df['Adj. Close'] * 100
df['PCT_change'] =(df['Adj. Close']-df['Adj. Open'])/df['Adj. Open'] * 100
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
如果上述解决方案无效,您可以尝试:
#pandas below 0.24+
print (df.columns.values.tolist())
#pandas above 0.24+
print (df.columns.to_numpy().tolist())