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pandas not found when it's supposed to be installed #11604
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you don't have pandas installed see instructions here you are also not showing what you did, nor your platform, so impossible to advise anything |
I already installed Pandas and I'm using Centos 7. |
if you can't import it then its not installed. and you shouldn't be pathing at all. this indicates a problem with how you installed things. |
edit from @TomAugspurger: Don't use You can check my output message here after I run sudo pip install pandas.
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same answer. you probably have multiple pythons installed. pls read the installation instructions and follow them. |
I'm facing a similar issue. Could you have a look here ? |
I also had the same issue and had both python3, python versions installed. |
edit from @TomAugspurger: Don't use |
The original issue is for Python 2.x, so unfortunately, this suggestion is moot. On Linux, do the following:
and see where each is pointing to. Something tells me you'll find a discrepancy. If not, chase down where your "existing" |
I am facing the following issue in my code:`ImportError Traceback (most recent call last) ImportError: No module named pandas` Even though I have installed pandas.I am using Jupyter notebook. |
I am facing the same issue. |
Do you have multiple python versions installed? Try this in the Python shell:
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Do you have multiple python versions installed? Try this in the Python shell: import sys
print(sys.version_info) |
is the issue with fixed. How ?
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It is better to use a virtual environment to avoid these trouble https://stackoverflow.com/questions/49265260/pandas-unrecognized-by-python3/49265845#49265845 |
I used pip install pandas in cmd and it works. The issue was not because of
multiple Python versions.
Because jupyter has panda configured so its working in jypyter. How ever to
run it on IDLE we need to panda in cmd.
Regards,
Ranajit
…On Mar 6, 2018 5:47 AM, "ram1421" ***@***.***> wrote:
is the issue with fixed. How ?
Traceback (most recent call last):
File "e:\Learn\TensorFlow\script.py", line 5, in <module>
import pandas as pd
ModuleNotFoundError: No module named 'pandas'
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I ran into this issue in my virtual environment.
To get around it I had to delete and recreate my python virtual environment, re-installed my pip requirements from my requirements.txt, pip install pandas and all was good. Still a mystery to me.... |
edit from @TomAugspurger: don't use for python 2:
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@thomasschijf in general, you'll want to avoid |
My problem resolved by using pip3 install pandas. Python version was 3.5.*. |
I am looking for simulation of KNN algorithm for temperature in python or in MATLAB . IF any one can provide me the code than that will be great. |
You probably have some .py files in your working directory with the same name as one of the modules you're trying to use. The names of modules should not be used as file names in your project. |
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If you installed pandas (with pip/conda) and it doesn't show up in python then probably the python in your path is not the same that pip/conda are updating. |
I fixed the same problem with the below commands... |
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Just wanted to add to the answer provided by @pavankat What he suggested worked for me, but I had to download Python 3.7 first! |
I got this error message. Already installed pandas.
SOLUTION (by @datapythonista)
This error happens when Python can't find pandas in the list of available libraries. Python has internally a list of directories where it'll look for packages. These directories can be obtained with
import sys; sys.path
.In one machine you can (and should) have several Python installations. Meaning that you can have pandas installed in one, and be using another Python installation (this is likely the case here).
In Linux/Mac you can run
which python
and will tell you which is the Python you're using. If it's something like/usr/bin/python
, you're using the Python from the system, which is not a great practice, and rarely used in the Python community.If you used Python before you may have used virtual environments and pip. While this is fine for many Python projects (e.g. Django), when using data projects (pandas, numpy, tensorflow...) this is discouraged. It's easy that you have installation errors, and also the libraries can run much slower when using pip.
The widely used solution to this problem is to use conda. You can find simple installation instructions for pandas in this document: https://dev.pandas.io/getting_started.html
For more advanced users, installing miniconda, and then manually install pandas (and any other required package) with conda can be preferred (but avoid this if you're starting, since you'll probably have errors of missing dependencies when using many of the pandas features).
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