why is sklearn giving me an value error in train_test_split - valueerror

Question

ValueError: Expected 2D array, got 1D array instead:
array=[712. 3.].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
```
import pandas as pd
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import MinMaxScaler
import seaborn as sb
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
df=sb.load_dataset('titanic')
df2=df[['survived','pclass','age','parch']]
df3=df2.fillna(df2.mean())
x=df3.drop('survived',axis=1)
y=df3['survived']
x_train,y_train,x_test,y_test=train_test_split(x,y,test_size=0.2, random_state=51)
print('x_train',x_train.shape)
sc=StandardScaler()
sc.fit(x_train.shape)
x_train=x_train.reshape(-1,1)
x_train_sc=sc.transform(x_train)
x_test_sc=sc.transform(x_test)
print(x_train_sc)`
```
```
`I would really appreciate if could fid me a solution
I have applied train_test_split to x & y variables and also transformed it into the x_train variabel. I was trying to print x_train. But it showed me an error
`
```
raise ValueError(
ValueError: Expected 2D array, got 1D array instead:
array=[712. 3.].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
```
`

Answer 1

You're supposed to give your StandardScaler your X_train and not the shape of your X_train :)
sc=StandardScaler()
sc.fit(x_train)
x_train_sc=sc.transform(x_train)
x_test_sc=sc.transform(x_test)
If you want to normalize your data in a -1/1 range, it's better to use MinMaxScaler :
from sklearn.preprocessing import MinMaxScaler
...
sc = MinMaxScaler(feature_range=(-1, 1)).fit(X_train)
x_train_sc=sc.transform(x_train)
x_test_sc=sc.transform(x_test)