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As advised, I used some code samples in another forum, but it could not improve the problem. My question is the “indexerror: index 0 is out of bounds for axis 0 with size 0” in python – how to solve it? The command line is:

```
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
```

and the result:

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

What does the message mean? Can you advise me to fix it? If you have other better answers, leave them in the answer box below.

The cause:The cause of the “indexerror: index 0 is out of bounds for axis 0 with size 0” is that we are attempting to access an index (in this case, at position 0), but it is not there (i.e., it doesn’t exist as we have a size 0 array).Solution:Because such an array is essentially meaningless and unable to be used to store anything. As a result, you must follow the traceback in your code, find the area where an array or tensor of size`0`

is being created, and fix it.`try-except`

block.`numpy`

index and dimension numbering begins with 0.`axis 0`

is the first dimension. A dimension can also have length (size), in`numpy`

. This is the simplest example:It also happens if

`x = np.zeros((0,5), int)`

is a 2d array that has 0 rows and 5 columns.You are now creating an array of size 0 in your code.

It is normal to ask about errors and tell us the location.

You should also print the

`shape`

and possibly the`dtype`

of any suspected variables when you are trying to debug problems like these.`pandas`

`pandas`

to send a`Series`

,`DataFrame`

, or`numpy.array`

to a`numpy.array`

.`pandas.Series.values`

or`pandas.Series.to_numpy()`

or`pandas.Series.array`

`pandas.DataFrame.values`

or`pandas.DataFrame.to_numpy()`

How to fix the error

`try-except`

block`if x.size != 0:`