Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **Type: ‘numpy.float64’ object does not support item assignment** **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 Type: ‘numpy.float64’ object does not support item assignment Error Occurs?

Today I get the following error **Type: ‘numpy.float64’ object does not support item assignment** **in python**.

## How To Solve Type: ‘numpy.float64’ object does not support item assignment Error ?

**How To Solve Type: 'numpy.float64' object does not support item assignment Error ?**To Solve Type: 'numpy.float64' object does not support item assignment Error there is no element in array is bigger than 1,So you cannot assign 1 to predictions[predictions>1],you can use ' predictions>1 ' before your assignment.

**Type: 'numpy.float64' object does not support item assignment**To Solve Type: 'numpy.float64' object does not support item assignment Error there is no element in array is bigger than 1,So you cannot assign 1 to predictions[predictions>1],you can use ' predictions>1 ' before your assignment.

## Solution 1

Try this testing code and pay attention to `np.array([1,2,3], dtype=np.float64)`

. It seems self.svm.decision_function(vectors) returns **1d** array instead of 2d. If you replace [1,2,3] to [[1,2,3], [4,5,6]] everything will be ok.

import numpy as np predictions = np.array([1,2,3], dtype=np.float64) predictions = np.transpose(predictions)[0] predictions = predictions / 2 + 0.5 predictions[predictions > 1] = 1 predictions[predictions < 0] = 0

Output:

Traceback (most recent call last): File "D:\temp\test.py", line 7, in <module> predictions[predictions > 1] = 1 TypeError: 'numpy.float64' object does not support item assignment

So, what your vectors are?

## Solution 2

>>> predictions = np.array([1,2,3], dtype=np.float64) >>> predictions array([1., 2., 3.]) >>> predictions = np.transpose(predictions)[0] >>> predictions 1.0 >>> predictions = predictions / 2 + 0.5 >>> predictions 1.0 >>> predictions>1 False

there is no element in array is bigger than 1,So you cannot assign 1 to predictions[predictions>1],you can use ‘ predictions>1 ‘ before your assignment.

**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.

**Also, Read**