Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **IndexError: boolean index did not match indexed array along dimension 0** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How IndexError: boolean index did not match indexed array along dimension 0 Error Occurs?

Today I get the following error **IndexError: boolean index did not match indexed array along dimension 0** **in python**.

## How To Solve IndexError: boolean index did not match indexed array along dimension 0 Error ?

**How To Solve IndexError: boolean index did not match indexed array along dimension 0 Error ?**To Solve IndexError: boolean index did not match indexed array along dimension 0 Error I am using Numpy 1.11, instead of an

`IndexError`

I get a`VisibleDeprecationWarning`

. So I guess using an incorrect size is no longer tolerated.**IndexError: boolean index did not match indexed array along dimension 0**To Solve IndexError: boolean index did not match indexed array along dimension 0 Error I am using Numpy 1.11, instead of an

`IndexError`

I get a`VisibleDeprecationWarning`

. So I guess using an incorrect size is no longer tolerated.

## Solution 1

`np.diff`

is one element smaller than data_array.

The shape of the output is the same as a except along axis where the dimension is smaller by n.

numpy.diff

I am using Numpy 1.11, instead of an `IndexError`

I get a `VisibleDeprecationWarning`

. So I guess using an incorrect size is no longer tolerated.

You need to define which behaviour you want, e.g. start at the second element, or remove the last:

arr = np.array([1,2,3,4,5]) arr2 = arr[:-1] m = arr2[np.diff(np.cumsum(arr) >= sum(arr))] arr3 = arr[1:] m = arr3[np.diff(np.cumsum(arr) >= sum(arr))]

**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.

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