numexpr | Fast numerical array expression evaluator for Python | Data Manipulation library

 by   pydata Python Version: 2.9.0 License: MIT

kandi X-RAY | numexpr Summary

kandi X-RAY | numexpr Summary

numexpr is a Python library typically used in Utilities, Data Manipulation, Numpy applications. numexpr has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install numexpr' or download it from GitHub, PyPI.

Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more
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              numexpr has a highly active ecosystem.
              It has 1929 star(s) with 192 fork(s). There are 61 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 66 open issues and 277 have been closed. On average issues are closed in 44 days. There are 2 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of numexpr is 2.9.0

            kandi-Quality Quality

              numexpr has 0 bugs and 0 code smells.

            kandi-Security Security

              numexpr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              numexpr code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              numexpr is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              numexpr releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              numexpr saves you 1492 person hours of effort in developing the same functionality from scratch.
              It has 3327 lines of code, 398 functions and 21 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed numexpr and discovered the below as its top functions. This is intended to give you an instant insight into numexpr implemented functionality, and help decide if they suit your requirements.
            • Return a multiplication op
            • Check if a list of nodes are ConstantNode
            • Find the common kind of the given nodes
            • Compute the comparison of all experiments
            • Calculate the comparison between expression and nexpr
            • Return the number of threads to use
            • Return the number of CPU cores
            • Setup the package
            • Parse the site cf file
            • Decorator function for chunksize
            • Decorator for functions
            • Return the number of cores
            • Get IP address
            • Create a where function
            • Helper function for div operator
            • Compute the expression
            • Evaluate expression with expr_func
            • Return the NumPy version of the NumPy interpreter
            • Return information about the command
            • Decorator factory for functions
            • Return a dictionary of key - value pairs
            • Return a function for reduction axis
            • Benchmark a numpy array
            • Decorator for operator methods
            • Create an operator for a binary operator
            • Set the accuracy mode
            Get all kandi verified functions for this library.

            numexpr Key Features

            No Key Features are available at this moment for numexpr.

            numexpr Examples and Code Snippets

            What's new in 1.2.0 (December 26, 2020)
            Pythondot img1Lines of Code : 646dot img1License : Permissive (BSD-3-Clause)
            copy iconCopy
            
            .. _whatsnew_120.duplicate_labels:
            
            Optionally disallow duplicate labels
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
            
            :class:`Series` and :class:`DataFrame` can now be created with ``allows_duplicate_labels=False`` flag to
            control whether the index or colu  
            returns a Categorical
            Pythondot img2Lines of Code : 585dot img2License : Permissive (BSD-3-Clause)
            copy iconCopy
            
            .. _whatsnew_0200.privacy.extensions:
            
            Modules privacy has changed
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^
            
            Some formerly public python/c/c++/cython extension modules have been moved and/or renamed. These are all removed from the public API.
            Furthermore, the ``  
            Version 0.15.0 (October 18, 2014)
            Pythondot img3Lines of Code : 565dot img3License : Permissive (BSD-3-Clause)
            copy iconCopy
            
            .. _whatsnew_0150.cat:
            
            Categoricals in Series/DataFrame
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
            
            :class:`~pandas.Categorical` can now be included in ``Series`` and ``DataFrames`` and gained new
            methods to manipulate. Thanks to Jan Schulz for much of this   
            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Pythondot img4Lines of Code : 4dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            python is /opt/anaconda3/bin/python
            python is /usr/local/bin/python
            python is /usr/bin/python
            
            Replace multiple "less than values" in different columns in pandas dataframe
            Pythondot img5Lines of Code : 31dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> df.replace(r'<(.*)', r'\1/2', regex=True).apply(pd.eval)
               var_1  var_2  var_3
            0    2.0  88.72  0.045
            1    0.5   5.00  0.045
            2    2.0  17.60  0.045
            
            out = df.melt(ignore_index=False)
            m = out['value'
            How to install local package with conda
            Pythondot img6Lines of Code : 27dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            package:
              name: jive
              version: "0.2.1"
            
            source:
              path: .
            
            build:
              script: python -m pip install --no-deps --ignore-installed .
            
            requirements:
              host:
                 - python
                 - pip
                 - setuptools
              run:
                 - python
                 - numpy
                 - p
            ModuleNotFoundError: No module named 'pandas._libs.interval'
            Pythondot img7Lines of Code : 9dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            $ python --help
            usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ...
            Options and arguments (and corresponding environment variables):
            ...
            -E     : ignore PYTHON* environment variables (such as PYTHONPATH)
            -s     : don't add us
            How to install bob python toolkit with docker?
            Pythondot img8Lines of Code : 22dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            FROM continuumio/anaconda3:latest
            ARG DEBIAN_FRONTEND=noninteractive
            
            WORKDIR /bob
            COPY . /bob/
            RUN apt update
            RUN apt install -y build-essential libopencv-dev python3-opencv ffmpeg libsndfile1 libsndfile-dev wget git tmux
            
            RUN conda env c
            Converting a string type column to a numeric column in Pandas
            Pythondot img9Lines of Code : 40dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pandas as pd
            
            df = pd.DataFrame({'col1': [1, 2, 3, 4, 5], 'col2': ['7.7/10', '8.2/10', '5.8/10', '9.2/10', '8.9/10']})
            
            
            def fun(x):
                a, b = x.split("/")
                return float(a) * (1 / float(b))
            
            
            res = df["col2"].apply(fun)
            print(re
            TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'
            Pythondot img10Lines of Code : 2dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install pandas --upgrade
            

            Community Discussions

            QUESTION

            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Asked 2022-Mar-13 at 16:13

            I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.

            • I first tested the app by running python setup.py py2app -A in the terminal and the dist and build folder are successfully created and the app works when launched.
            • Now when I try to build it non-locally by running the command python setup.py py2app in the terminal, there are various "WARNING: ImportERROR" messages while building and finally a error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' error.

              How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
              *I Left out a lot of the "skipping" and "warning" lines using "..." for space
            ...

            ANSWER

            Answered 2022-Mar-13 at 16:13

            The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.

            The fix:

            1. Open the terminal and type the command type -a python.
            • You will see similar lines

            Source https://stackoverflow.com/questions/71414043

            QUESTION

            Replace multiple "less than values" in different columns in pandas dataframe
            Asked 2022-Mar-11 at 17:07

            I am working with python and pandas. I have a dataset of lab analysis where I am dealing with multiple parameters and detection limits(dl). Many of the samples are reported as below the dl (e.g.<4)

            For example:

            ...

            ANSWER

            Answered 2022-Mar-09 at 06:46

            Use replace instead str.replace than eval all expressions:

            Source https://stackoverflow.com/questions/71105107

            QUESTION

            How to install local package with conda
            Asked 2022-Feb-05 at 04:16

            I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

            But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

            So I did the following:

            1. write a simple meta.yaml so I could use conda-build to build jive locally
            2. build jive with conda build .
            3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
            4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
            5. create a conda env using that environment.yml.

            When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

            Here is the meta.yaml, which lives in the jive project top level directory:

            ...

            ANSWER

            Answered 2022-Feb-05 at 04:16

            The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.

            I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).

            Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").

            Try adjusting the meta.yaml to something like

            Source https://stackoverflow.com/questions/70705250

            QUESTION

            ModuleNotFoundError: No module named 'pandas._libs.interval'
            Asked 2022-Jan-24 at 04:57

            Suddenly, I can't import pandas in python. I am using anaconda as package manager, but it seems that no matter how many times I uninstall and install pandas, I still get the same error:

            ...

            ANSWER

            Answered 2022-Jan-24 at 04:57

            Yes, it appears to be loading pandas from a user-level installation. User-level installs can leak into Conda environments and lead to unpredictable behavior, such as what you are seeing.

            There are two routes of action of which I know. You may want to try the second one first, which would confirm the cause. However, the first option is likely more manageable going forward, since once it's done, the issue should be resolved.

            Option 1: Remove External Python(s)

            If you would like Conda to simply work as expected, then uninstall the user-level Python. Note that the one detected (Python 3.10) may not be the only one, so you may have to track down multiple copies. I'm not on Windows, so I can't suggest concrete steps for uninstallation.

            However, you may be already using this user-level Python for other projects, so this option may not be practicable.

            Option 2: Launch Python with Isolation Flags

            There are some pertinent flags that Python provides that has it ignore the various sources that can lead to leaking in other site-packages. Here are the three important ones:

            Source https://stackoverflow.com/questions/70826479

            QUESTION

            UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)
            Asked 2021-Dec-03 at 14:58

            Good day

            I am getting an error while importing my environment:

            ...

            ANSWER

            Answered 2021-Dec-03 at 09:22

            Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

            Source https://stackoverflow.com/questions/70209921

            QUESTION

            How to install bob python toolkit with docker?
            Asked 2021-Nov-04 at 13:53

            I'm trying to install bob.learn.em, but there is not any documented straightforward approach to install bob.

            There are some very old resources like these to install bob:

            https://hub.docker.com/r/artimi/bob

            https://github.com/Artimi/bob_docker_image/blob/master/Dockerfile

            But none of them can not install bob.learn.em or any latest bob packages.

            I am unsuccessful while trying both pip and conda, the official document (https://www.idiap.ch/software/bob/docs/bob/docs/stable/install.html) doesn't work (at least for my system, I even tried conda in a docker container)

            Is there any docker container or reproducible recipe for installing bob and bob packages like bob.learn.em?

            errors inside anaconda3 container,

            ...

            ANSWER

            Answered 2021-Oct-22 at 21:17

            Wrote this simple dockerfile.

            Dockerfile

            Source https://stackoverflow.com/questions/69665836

            QUESTION

            Docker: Cannot install specific pip packages
            Asked 2021-Oct-12 at 10:16

            I want to install specific packages in a docker container. For most of them, the pip installation works fine. However, it seems like some of the versions of the packages cannot be found.

            Here's the requirements.txt file from which I'm installing the packages. It was obtained from pip freeze done in PyCharm from Windows.

            Currently, I am trying to install them in Docker working on Ubuntu 20.04.

            ...

            ANSWER

            Answered 2021-Oct-12 at 09:25

            Try to use some other version of ipython.

            Replace the python version in your requirements.txt with:

            ipython==7.24.1

            However, it doesn't have anything to do with docker configuration i.e. --network=host

            Source https://stackoverflow.com/questions/69537812

            QUESTION

            Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
            Asked 2021-Oct-11 at 14:51

            data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

            I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

            ...

            ANSWER

            Answered 2021-Oct-11 at 14:21

            geopandas 0.10.1

            • have noted that your data is on kaggle, so start by sourcing it
            • there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
            • full code below, have randomly selected a point to serve as gpdPoint

            Source https://stackoverflow.com/questions/69521034

            QUESTION

            TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'
            Asked 2021-Oct-08 at 03:00

            I am trying to work with Featuretools to develop an automated feature engineering workflow for the customer churn dataset. The end outcome is a function that takes in a dataset and label times for customers and builds a feature matrix that can be used to train a machine learning model.

            As part of this exercise I am trying to execute the below code for plotting a histogram and got "TypeError: import_optional_dependency() got an unexpected keyword argument 'errors' ". Please help resolve this TypeError.

            ...

            ANSWER

            Answered 2021-Sep-14 at 20:32

            Try to upgrade pandas:

            Source https://stackoverflow.com/questions/69148495

            QUESTION

            AttributeError: module 'regex' has no attribute 'Pattern'
            Asked 2021-Oct-01 at 12:41

            I'm getting this error while trying to run this code in google colab:

            ...

            ANSWER

            Answered 2021-Oct-01 at 12:41

            This looks like a known issue in NLTK. Perhaps update the NLTK version.

            Source https://stackoverflow.com/questions/69405949

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install numexpr

            You can install using 'pip install numexpr' or download it from GitHub, PyPI.
            You can use numexpr like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install numexpr

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            https://github.com/pydata/numexpr.git

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            gh repo clone pydata/numexpr

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            git@github.com:pydata/numexpr.git

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