Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about **How to downgrade numpy** **in Python**. So Here I am Explain to you all the possible Methods here.

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

Table of Contents

## How to downgrade numpy?

**How to downgrade numpy?**You can downgrade using the –upgrade flag it works both ways e.g

`pip install --upgrade numpy==1.10.1`

**downgrade numpy**You can downgrade using the –upgrade flag it works both ways e.g

`pip install --upgrade numpy==1.10.1`

## Method 1

You are likely confused between python2, python3, and different python virtual environments.

This is the most reliable source, in your case

$ python >>> import numpy >>> numpy.__version__ '1.14.5'

To upgrade/downgrade numpy, you need to use `pip`

that corresponds to the `python`

that you are using. I think you are using python 2.7. Look around for a `pip`

executable that corresponds to the installed package at `/usr/local/lib/python2.7/dist-packages/pip`

.

This is not the “right” way, but it will work

python -m pip install numpy==x.y.z

`python`

will just correspond to python interpreter you are using`-m pip`

will find the right pip that corresponds to your installation of python 2.7`numpy==x.y.z`

will force the downgrade

Now, you will probably run into permissions problems that will tempt you to use `sudo`

. At that point, you can either try adding the `--user`

flag … but if you really have to use sudo, then consider creating a virtualenv. (Please.)

### Probably The Right Thing to Do

Others have commented on this: maybe your indices are actually not integers.

Find the places in your code that is indexing into a list, and make sure that are actually integers.

assert isinstance(a, int), 'a must be an int' assert isinstance(b, int), 'b must be an int' x = y[a:b]

Keep adding those type assertions until you find the bug.

## Method 2

You can downgrade using the –upgrade flag it works both ways e.g

pip install --upgrade numpy==1.10.1

**Summery**

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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