I work on a finance forecasting project I did my preprocessing part but when I try to construct train and test set I got an error
I have constructed my DataFrame as
alldata = pd.DataFrame({'Date':date,
'S&P 500 Price':normalised_snp,
'S&P 500 Open': normalised_snpopen,
'10 Year Bond Price': normalised_tybp,
'10 Year Bond Open': normalised_tybpopen,
'2 Year Bond Price': normalised_twybp,
'2 Year Bond Open': normalised_twybpopen,
'US Inflation' : normalised_USInflation,
'US GDP' : normalised_USGDP,
'US Insterest' : normalised_USInterest,
'Global Inflation Rate' : normalised_GlobalInflation,
'Global GDP' : normalised_GlobalGDP})
It looks like this
Date S&P 500 Price ... Global Inflation Rate Global GDP
0 2006-01-03 0.143754 ... 0.588237 0.0
1 2006-01-04 0.144885 ... 0.588237 0.0
2 2006-01-05 0.144890 ... 0.588237 0.0
3 2006-01-06 0.147795 ... 0.588237 0.0
4 2006-01-09 0.148936 ... 0.588237 0.0
5 2006-01-10 0.148824 ... 0.588237 0.0
6 2006-01-11 0.149914 ... 0.588237 0.0
7 2006-01-12 0.147943 ... 0.588237 0.0
8 2006-01-13 0.148319 ... 0.588237 0.0
9 2006-01-17 0.147208 ... 0.588237 0.0
and then I have tried to construct test and train for this set as
X= alldata['S&P 500 Price'].to_numpy()
y= alldata.drop(columns=['Date','S&P 500 Price','10 Year Bond Open','2 Year Bond Open']).to_numpy()
print(y)
X_train,X_test,y_train,y_test = train_test_split(test_size=0.25,random_state=0)
print(X_test.shape)
print(X_train.shape)
But I got an error as
ValueError: At least one array required as input
I couldn’t find my mistake is ther any solution for this?
>Solution :
You should include the training and testing data into the train_test_split function:
X_train,X_test,y_train,y_test = train_test_split(x, y, test_size=0.25,random_state=0)