I am trying to get Pandas working, based on the documentation?
Under the list of Supported Libraries for Python Shell Jobs they mention:
pandas (required to be installed via the python setuptools configuration, setup.py)
I have tried this with a setup file
from setuptools import setup
setup(
name="dependecy_package",
version="0.1",
packages=['pandas','shapely','psycopg2','s3fs'],
package_dir = {'': '/home/user/.local/lib/python3.6/site-packages'}
)
I uploaded this generated egg file and uploaded to S3. I then reference the new ex file as part of the run job settings. I however get this error upon startup
ImportError: C extension: No module named 'pandas._libs' not built.
If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --inplace --force' to build the C extensions first.
How do I fix this?
Related
I need to create a optimization problem with the cplex library and julia. I have to use colab for this, I was able to create a colab on the julia template and download the JuMP library. I have a student license on cplex. But when I try to download cplex it gives the following error:
Error building `CPLEX`:
ERROR: LoadError: Unable to install CPLEX.jl.
The versions of CPLEX supported by CPLEX.jl are:
* 12.10
* 20.1
You must download and install one of these versions separately.
You should set the `CPLEX_STUDIO_BINARIES` environment variable to point to
the install location then try again. For example (updating the path to the
correct location if needed):
# On Windows, this might be
ENV["CPLEX_STUDIO_BINARIES"] = "C:\\Program Files\\CPLEX_Studio1210\\cplex\\bin\\x86-64_win\\"
import Pkg
Pkg.add("CPLEX")
Pkg.build("CPLEX")
i tried the import Pkg; Pkg.add("CPLEX") and upload the I uploaded the cplex files on the computer and showed the path there:
ENV["CPLEX_STUDIO_BINARIES"] = "/content/x64_win64"
import Pkg
Pkg.add("CPLEX")
Pkg.build("CPLEX")
I am still not the most sophisticated python user; but I cannot overcome this probably simple problem. I have a code that works perfectly with the spyder interface. I would like to make it a recurring task via creating a bat file. The bat file which in turn triggers a cmd interface does not import pandas_data reader and the code gets stuck and aborts.
import pandas_datareader.data as web
this line above creates the error below. It's a lengthy text.
File "C:\Users\myself\anaconda3\lib\site-packages\pandas_datareader\__init__.py", line 2, in <module>
from .data import ( File "C:\Users\myself\anaconda3\lib\site-packages\pandas_datareader\data.py", line 9, in <module>
from pandas.util._decorators import deprecate_kwarg File "C:\Users\myself\anaconda3\lib\site-packages\pandas\__init__.py", line 17, in <module>
"Unable to import required dependencies:\n" + "\n".join(missing_dependencies) ImportError: Unable to import required dependencies: numpy:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy c-extensions failed.
- Try uninstalling and reinstalling numpy.
- If you have already done that, then:
1. Check that you expected to use Python3.7 from "C:\Users\myself\anaconda3\python.exe",
and that you have no directories in your PATH or PYTHONPATH that can
interfere with the Python and numpy version "1.17.0" you're trying to use.
2. If (1) looks fine, you can open a new issue at
https://github.com/numpy/numpy/issues. Please include details on:
- how you installed Python
- how you installed numpy
- your operating system
- whether or not you have multiple versions of Python installed
- if you built from source, your compiler versions and ideally a build log
- If you're working with a numpy git repository, try `git clean -xdf`
(removes all files not under version control) and rebuild numpy.
Note: this error has many possible causes, so please don't comment on
an existing issue about this - open a new one instead.
Original error was: DLL load failed: The specified module could not be found.
Below are the mentioned error while importing pandas library in Power BI in python script.
Details: "ADO.NET: Python script error.
C:\USERS\YADAVP\ANACONDA3\lib\site-packages\numpy\__init__.py:140: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
from . import _distributor_init
Traceback (most recent call last):
File "PythonScriptWrapper.PY", line 2, in <module>
import os, pandas, matplotlib
File "C:\USERS\YADAVP\ANACONDA3\lib\site-packages\pandas\__init__.py", line 17, in <module>
"Unable to import required dependencies:\n" + "\n".join(missing_dependencies)
ImportError: Unable to import required dependencies:
numpy:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy c-extensions failed.
- Try uninstalling and reinstalling numpy.
- If you have already done that, then:
1. Check that you expected to use Python3.7 from "C:\USERS\YADAVP\ANACONDA3\python.exe",
and that you have no directories in your PATH or PYTHONPATH that can
interfere with the Python and numpy version "1.18.1" you're trying to use.
2. If (1) looks fine, you can open a new issue at
https://github.com/numpy/numpy/issues. Please include details on:
- how you installed Python
- how you installed numpy
- your operating system
- whether or not you have multiple versions of Python installed
- if you built from source, your compiler versions and ideally a build log
- If you're working with a numpy git repository, try `git clean -xdf`
(removes all files not under version control) and rebuild numpy.
Note: this error has many possible causes, so please don't comment on
an existing issue about this - open a new one instead.
Original error was: DLL load failed: The specified module could not be found.
What is the resolution to sort this kind of error in Power BI?
Forget Anaconda and use WinPython.
I tried Anaconda for days with all the workarounds available in StackOverflow and other forums, and they took me nowhere.
Then I tried WinPython, and it worked immediately. Of course, you will need to change the PowerBI options accordingly.
To install WinPython: https://github.com/winpython/winpython
To change the detected Python home directory: https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-python-scripts#enable-python-scripting
If you consider my answer, you won't need to downgrade Python, PBI, or anything else.
I had the same error. Unfortunately, PowerBI wont work with Jupyter Notebook Python.
So you have to install a "normal" Python: https://www.python.org/downloads/
And configure the Python you want to use in PowerBI and install your needed Python libraries via pip
Edit: Please use Python 3.8 because 3.9 doesnt support NumPy for now
Using Enthought Canopy; the following command import pandas produces this error message:
ImportError: C extension: hashtable not built. If you want to import pandas
from the source directory, you may need to run 'python setup.py build_ext --
inplace' to build the C extensions first.
Which I understand means that the package hasn't been built with it's C dependencies? I thought Canopy's environment handled module installations, I have tried removing, and updating Pandas with no luck.
Does anyone know how to correctly use Pandas in Enthought Canopy?
Forcing a reinstallation of Pandas and its dependencies with enpkg pandas --forceall run from a Canopy Terminal/Command Prompt seems to have fixed the problem.
I’m spark-submitting a python file that imports numpy but I’m getting a no module named numpy error.
$ spark-submit --py-files projects/other_requirements.egg projects/jobs/my_numpy_als.py
Traceback (most recent call last):
File "/usr/local/www/my_numpy_als.py", line 13, in <module>
from pyspark.mllib.recommendation import ALS
File "/usr/lib/spark/python/pyspark/mllib/__init__.py", line 24, in <module>
import numpy
ImportError: No module named numpy
I was thinking I would pull in an egg for numpy —python-files, but I'm having trouble figuring out how to build that egg. But then it occurred to me that pyspark itself uses numpy. It would be silly to pull in my own version of numpy.
Any idea on the appropriate thing to do here?
It looks like Spark is using a version of Python that does not have numpy installed. It could be because you are working inside a virtual environment.
Try this:
# The following is for specifying a Python version for PySpark. Here we
# use the currently calling Python version.
# This is handy for when we are using a virtualenv, for example, because
# otherwise Spark would choose the default system Python version.
os.environ['PYSPARK_PYTHON'] = sys.executable
I got this to work by installing numpy on all the emr-nodes by configuring a small bootstrapping script that contains the following (among other things).
#!/bin/bash -xe
sudo yum install python-numpy python-scipy -y
Then configure the bootstrap script to be executed when you start your cluster by adding the following option to the aws emr command (the following example gives an argument to the bootstrap script)
--bootstrap-actions Path=s3://some-bucket/keylocation/bootstrap.sh,Name=setup_dependencies,Args=[s3://some-bucket]
This can be used when setting up a cluster automatically from DataPipeline as well.
Sometimes, when you import certain libraries, your namespace is polluted with numpy functions. Functions such as min, max and sum are especially prone to this pollution. Whenever in doubt, locate calls to these functions and replace these calls with __builtin__.sum etc. Doing so will sometimes be faster than locating the pollution source.
Make sure your spark-env.sh has PYSPARK_PATH pointing to the correct Python release. Add export PYSPARK_PATH=/your_python_exe_path to /conf/spark-env.sh file.