No columns and row info in Python

Question

I split the data into the test and training set without using train_test_split
My Function:

def split(X, y):
    arr_rand = np.random.rand(X.shape[0])
    split = arr_rand < np.percentile(arr_rand, 75)
    X_train = X[split]
    y_train = y[split]
    X_test =  X[~split]
    y_test = y[~split]

    #print (len(X_Train)), (len(y_Train)), (len(X_Test)), (len(y_Test))
    return X_train, y_train, X_test, y_test

My problem is, when I output X_train I receive info that it has 76 rows x 8 columns.
However while printing X_test this info is missing. This is how it looks like. My df is a csv file:

I needed to split it for X,y labels which I did with such approach:
X, y = df.iloc[:,0:8], df.iloc[:,8:9]
And later X_train, y_train, X_test, y_test = split(X,y)

This is the output why shape info is missing?

Resuls:

Answer 1

When all the rows are shown in the result cell (in your example you have only 26 rows for X_test), the shape information is not shown. By default, the maximum number of rows shown is 60 (unless you change pandas.options.display.max_rows), so if X_test has less than 60 rows, the shape information is not shown.

Try X_test.shape to see the shape.