ValueError: numpy.ndarray size changed, may indicate binary incompatibility

Borislav Hadzhiev

Last updated: Apr 10, 2024

Reading timeยท5 min

**The "ValueError: numpy.ndarray size changed, may indicate binary
incompatibility" occurs because there was a change in NumPy's C API in version
1.20.0.**

**To solve the error, upgrade your version of the numpy module.**

shell

`ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject`

There was a change in the C API of NumPy in version 1.20.0 which is the cause of the error.

`numpy`

moduleTo resolve the issue, upgrade `numpy`

to the latest version.

Open your terminal and run the following command to update your NumPy version.

shell

`pip install numpy --upgrade pip3 install numpy --upgrade python -m pip install numpy --upgrade python3 -m pip install numpy --upgrade py -m pip install numpy --upgrade # ๐๏ธ For Anaconda conda update numpy # ๐๏ธ For Jupyter Notebook !pip install numpy --upgrade`

The --upgrade option upgrades the specified package to the newest available version.

When you run the command, you might get an error that states **"ERROR: pip's
dependency resolver does not currently take into account all the packages that
are installed."**.

However, even though the error is shown, the package is installed successfully.

If the error is not resolved, try to uninstall and then reinstall `numpy`

.

shell

`# ๐๏ธ Uninstall numpy pip uninstall numpy pip3 uninstall numpy python -m pip uninstall numpy python3 -m pip uninstall numpy py -m pip uninstall numpy # ๐๏ธ For Anaconda conda remove numpy`

Now install the latest version of NumPy.

shell

`pip install numpy --upgrade pip3 install numpy --upgrade python -m pip install numpy --upgrade python3 -m pip install numpy --upgrade py -m pip install numpy --upgrade # ๐๏ธ For Anaconda conda install -c conda-forge numpy`

`requirements.txt`

fileIf the error is resolved after reinstalling `numpy`

, update your
requirements.txt file
with the following command.

shell

`pip freeze > requirements.txt`

The command will update the contents of your `requirements.txt`

file, so that
the next time you run `pip install -r requirements.txt`

, your project will be in
a working state.

`pycocotools`

moduleIf the error persists, try to reinstall the `pycocotools`

module.

shell

`pip uninstall pycocotools pip install --no-cache-dir pycocotools pip3 uninstall pycocotools pip3 install --no-cache-dir pycocotools`

Using the --no-cache-dir option disables pip's cache.

If you still get the error, try to pin your `pycocotools`

version to `2.0.0`

.

shell

`pip install pycocotools==2.0.0 pip3 install pycocotools==2.0.0 python -m pip install pycocotools==2.0.0 python3 -m pip install pycocotools==2.0.0`

If none of the suggestions helped, try creating a virtual environment.

`--no-binary`

optionAnother thing you can try is to install the package with the `--no-binary`

option.

For example, if the error is caused by the `hdbscan`

package, you would run the
following command.

shell

`pip install hdbscan --no-cache-dir --no-binary :all: pip3 install hdbscan --no-cache-dir --no-binary :all:`

When the `--no-binary`

option is set to `:all:`

, it disables all binary
packages.

If the error persists, try to upgrade your version of the `numba`

package.

shell

`pip install numba --upgrade pip3 install numba --upgrade`

If the error persists, try creating a virtual environment.

- Create a virtual environment.
- Activate the virtual environment.
- Run the
`pip install`

command with the virtual environment active.

shell

`# ๐๏ธ Use the correct version of Python when creating VENV python -m venv venv # ๐๏ธ Activate on Unix or MacOS source venv/bin/activate # ๐๏ธ Activate on Windows (cmd.exe) venv\Scripts\activate.bat # ๐๏ธ Activate on Windows (PowerShell) venv\Scripts\Activate.ps1 # ๐๏ธ Install the specific package in the virtual environment pip install opencv-python`

If the `python -m venv venv`

command doesn't work, try the following 2 commands:

`python3 -m venv venv`

`py -m venv venv`

Make sure to use the correct command to activate your virtual environment depending on your operating system and your shell.

Your virtual environment will use the version of Python that was used to create it.

If the error is resolved after installing `numpy`

in a virtual environment,
update your `requirements.txt`

file with the following command.

shell

`pip freeze > requirements.txt`

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