Numpy is the best python package for performing array creation and complex mathematical calculations. All these calculations are done using the various inbuilt functions. In this entire tutorial, you will learn the various methods to insert a column in the NumPy array.

## Create a Sample Array

Before going to the methods part let’s first create two samples NumPy array. One is the existing array and the other is the array you want to insert a column in the first array.

In NumPy, you can create a NumPy array using the * np.array()* functions. Let’s create them.

```
import numpy as np
array = np.array([[10,20,30],[40,50,60],[70,80,90]])
array2 = np.array([100,110,120])
```

## How to insert column in numpy array

In this section, you will know the various methods t insert column in the NumPy array.

### Method 1: Using the numpy.c_

This method will use the * np.c_[array1,array2] *to insert column in NumPy array. It inserts elements of the array as a stack. You can compare it with numpy.vstack. However, instead of round bracket ‘(), you have to use square bracket ‘[]’.

*Complete Code*

```
import numpy as np
array = np.array([[10,20,30],[40,50,60],[70,80,90]])
array2 = np.array([100,110,120])
added_array = np.c_[array,array2]
print(added_array)
```

**Output**

### Method 2: Insert a column in NumPy array using NumPy vstack function

The second method to insert a column in the array is using the * np.vstack *function. It allows you to Stack arrays in sequence vertically (row-wise).

Execute the below lines of code to insert a column to array,

```
import numpy as np
array = np.array([[10,20,30],[40,50,60],[70,80,90]])
array2 = np.array([100,110,120])
added_array = np.vstack([array,array2]).T
print(added_array)
```

**Output**

### Method 3: Using the numpy.insert() function

The next method to insert a column to the existing array is through * np.insert()* method. You have to pass four parameters for that. One is the existing array, second is the index where you want to add a column(in our case it is 3), third is the array you want to insert and the last parameter is the axis (It is 1 for columns).

Execute the below lines of code.

```
import numpy as np
array = np.array([[10,20,30],[40,50,60],[70,80,90]])
array2 = np.array([100,110,120])
added_array = np.insert(array,3,array2,axis=1)
print(added_array)
```

**Output**

## Conclusion

Numpy can do any complex mathematical calculation where it is an array or vectors. These are the methods to insert columns in the NumPy array.

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