# [Solved] ValueError: x and y must be the same size

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error ValueError: x and y must be the same size in python. So Here I am Explain to you all the possible solutions here.

## How ValueError: x and y must be the same size Error Occurs?

Today I get the following error ValueError: x and y must be the same size in python.

## How To Solve ValueError: x and y must be the same size Error ?

1. How To Solve ValueError: x and y must be the same size Error ?

To Solve ValueError: x and y must be the same size Error Print X_train shape. What do you see? I'd bet `X_train` is 2d (matrix with a single column), while `y_train` 1d (vector). In turn you get different sizes.

2. ValueError: x and y must be the same size

To Solve ValueError: x and y must be the same size Error Print X_train shape. What do you see? I'd bet `X_train` is 2d (matrix with a single column), while `y_train` 1d (vector). In turn you get different sizes.

## Solution 1

Print X_train shape. What do you see? I’d bet `X_train` is 2d (matrix with a single column), while `y_train` 1d (vector). In turn you get different sizes.

I think using `X_train[:,0]` for plotting (which is from where the error originates) should solve the problem

## Solution 2

Slicing with `[:, :-1]` will give you a 2-dimensional array (including all rows and all columns excluding the last column).

Slicing with `[:, 1]` will give you a 1-dimensional array (including all rows from the second column). To make this array also 2-dimensional use `[:, 1:2]` or `[:, 1].reshape(-1, 1)` or `[:, 1][:, None]` instead of `[:, 1]`. This will make `x` and `y` comparable.

An alternative to making both arrays 2-dimensional is making them both one dimensional. For this one would do `[:, 0]` (instead of `[:, :1]`) for selecting the first column and `[:, 1]` for selecting the second column.

## Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.