Python is known for developing web pages and web applications to design amazing projects for users. It is used worldwide by programmers and developers. Beginners are also trying to set their foot in the programming world, and for this, they are working on small projects to practice. To make the programming simpler, Python comes up with libraries. Each library has its own set of functions and uses for different purposes. Numpy is a library that many Python programmers use for scientific computing, for processing arrays. When you are with numpy, you may encounter **“indexerror: index 0 is out of bounds for axis 0 with size 0 problem”**.

The error you get is never too complex to get it resolved. The only thing that is important is that you try to crack it and find the right place to solve the error. As you are here to fix the error, we provide you with solutions to help you get rid of the error. Check out how the error occurs

## How the error shows up

When working on a project, you get an error message. Check out the program code

```
x = np.linspace(1735.0,1775.0,100)
column1 = (data[0,0:-1]+data[0,1:])/2.0
column2 = data[1,1:]
x_column1 = np.zeros(x.size+2)
x_column1[1:-1] = x
x_column1[0] = x[0]+x[0]-x[1]
x_column1[-1] = x[-1]+x[-1]-x[-2]
experiment = np.zeros_like(x)
for i in range(np.size(x_edges)-2):
indexes = np.flatnonzero(np.logical_and((column1>=x_column1[i]),(column1<x_column1[i+1])))
temp_column2 = column2[indexes]
temp_column2[0] -= column2[indexes[0]]*(x_column1[i]-column1[indexes[0]-1])/(column1[indexes[0]]-column1[indexes[0]-1])
temp_column2[-1] -= column2[indexes[-1]]*(column1[indexes[-1]+1]-x_column1[i+1])/(column1[indexes[-1]+1]-column1[indexes[-1]])
experiment[i] = np.sum(temp_column2)
return experiment
```

After this, you get the error in return

`index 0 is out of bounds for axis 0 with size 0`

## Solutions To Fix the Error “indexerror: index 0 is out of bounds for axis 0 with size 0 problem”

The error occurs when trying to access an array’s first element with a ‘0’ size. Check out the solutions to handle the exception

### Solution 1 – Array shape method

As the name suggests, this property helps you obtain the array shape. You get a tuple in return that contains a number of elements of columns and rows. It helps you find out if the element is valid or not in the array.

```
import numpy as np
holidays = np.zeros((0, 5), dtype=int)
if holidays.shape[0]:
print(holidays[0])
else:
print('No element in the row')
```

**Output**

`No element in the row`

### Solution 2 – Use if-else

Another way to fix the error is to use an if-else case to make sure you don’t get the error. Check out the code

```
import numpy as np
holidays = np.array([])
if holidays.size > 0:
print(holidays[0])
else:
print("holidays List is empty")
```

**Output**

`holidays List is empty`

### Solution 3 – Use try-except

It fixes the issue as try-except doesn’t stop and keeps generating in order to prevent the error message. Take a look at the code

```
import numpy as np
holidays = np.array([])
try:
print(holidays[0])
except IndexError:
print("holidays List is empty ")
```

**Output**

`holidays List is empty`

## Conclusion

We highlighted the solutions to fix the error “indexerror: index 0 is out of bounds for axis 0 with size 0 problem”. You can choose the solution that is suitable for your project.

I hope you find it useful!