I am running an Anaconda installation of Python3 64bit on Windows. I have no idea how to put those words in a proper sentence, but I hope it gives enough information. I am taking an Udacity course which wants me to run %matplotlib inline. This gives the following error:
AttributeError: module 'matplotlib' has no attribute 'colors'
I get the same error when I run from matplotlib import pylab, but i get no error from import matplotlib.
I installed matplotlib as follows: conda install -n tensorflow -c conda-forge matplotlib.
How do I solve this error?
Kind regards
Per request:
conda list gives
matplotlib 2.1.0 py36_1 conda-forge
and a list of other modules.
The notebook needs to be restarted for the new installations to take effect.
You just need to upgrade matplotlib.
pip3 install -U matplotlib
Related
Here is the code that I used:
import math
import matplotlib.pyplot as plt
The error message was:
no module named 'matplotlib'
I have tried:
pip install matplotlib
python3 install mat plotlib
Tried updating Anaconda Navigator to the latest version.
Tried uninstalling and reinstalling Python 3.10.5
Tried using Visual Studio Code and individual Python files (I'll try Jupyter too).
conda update --all
python - version says that I have Python version 3.6.13
After all of that, I still get the same error that there is no module named matplotlib
The answer was that I had never actually attempted to access matplotlib outside of Jupyter Notebooks. I was only meant to access it inside of Jupyter. I created a virtual environment and that didn't work. I also did conda install matplotlib and that destroyed my Python install and I had to reinstall everything.
After installing pypfopt and u-numpy, dataframe.info() command shows this error.
TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
I happened to mix my versions and I encountered the problem today. I managed to fix it.
Both codes in jupyter gave me an error: TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
df.info()
df.categorical_column_name.value_counts().plot.bar()
I got the error: TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
This is how i fixed it
Inside jupyter:
Check numpy version:
import numpy as np
print(np.__version__)
To upgrade:
!pip3 install numpy --upgrade
Inside Command line check numpy version:
python
import numpy
print(numpy.__version__)
if versions are not the same choose whether to upgrade/downgrade:
To upgrade:
$pip install numpy --upgrade
To downgrade just specify the version
If you have python environment installed:
Go to the right folder:
Check the installed version:
$pipenv --version
To verify if you have a pip environment installed for that folder:
On your terminal Go to the folder and type:
$pipenv --version
If there is a pipenv it will show the version and if there is none it won't.
check numpy version
$python
>>> import numpy
#prints the version
>>> print(numpy__version__)
To upgrade the version:
>>>exit()
#To install the latest version don't specify the version
$pipenv install numpy
#if you want to downgrade specify the version
$pipenv install numpy=version_type
Do the same for pandas. Note that with pandas if your pandas environment is 1.2.3 on the jupyter notebook upgrade with !pip install pandas==1.2.3 or just !pip install pandas --upgrade --user.
Note that if the commands are giving you an error always include --user at the end of the command.
To create a new environment using miniconda and install updated packages follow the link [https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html][1]
Run the following commands from a terminal window:
conda create -n name_of_my_env python
This will create a minimal environment with only Python installed in it. To put your self inside this environment run:
source activate name_of_my_env
On Windows the command is:
2. activate name_of_my_env
The final step required is to install pandas. This can be done with the following command:
conda install pandas
To install a specific pandas version:
conda install pandas=0.20.3
I prefer using the latest version of pandas 1.2.3
However the first method should solve your problem. Always restart your notebook by closing and reopening it.
I will stick around to see if you are winning. But this will resolve your problem. The problem is caused by the versions of numpy and pandas
[1]: https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html
I fixed this type error downgrading numpy version to 1.16.5.
Try it!
Use code below in your jupyter notebook to downgrade your numpy:
!pip install numpy==1.16.5
My pandas version: 0.24.2
Here's a link to the numpy issue associated with this error: https://github.com/numpy/numpy/issues/18355. A succinct fix is given there (in https://github.com/numpy/numpy/issues/18355#issuecomment-1029684903):
pip install --upgrade numpy
pip install --upgrade pandas
downgrading to numpy==1.19.5 works
Use below command to downgrade in anaconda prompt:
python -m pip install numpy==1.19.5
The issue is because of the non-compatibility of NumPy and pandas versions. I couldn't downgrade my NumPy for some odd reasons as others suggested from Anaconda. But found this link helpful
Downgrading pandas
to 1.3 and with the existing NumPy version set at 1.20.1, helped me to overcome this issue.
Just go to the terminal provided in Jupyter Notebook by clicking "New" and then "Terminal" inside "New" and type:
pip install pandas --upgrade
this will fix the error
as it worked for me.
I fixed it by updating all packages in my Anaconda Navigator Environments
In my case, restarting the kernel fixed the error. Hope it saves someone time as I was reading pandas source code to figure out what the hell was happening :))
U might have the latest version of NumPy which may not be compatible, so downgrade your NumPy version. I have downgraded to 1.17.2
I am trying to learn pandas and want to load some stocks data. I was following a course which advised me to load pandas.io.data, but this did not work as io.data was depreciated. So I decided to use pandas-datareader instead. But I am struggling to instal it on mac in Anaconda (Jupiter notebook).
First time I run import pandas_datareader as pdweb I got ModuleNotFoundError: No module named 'pandas_datareader'. Not surprising as I never used this before so I run pip3 install pandas_datareader in Terminal which successfully installed itself. However, Jupiter notebook is still giving me the same error. At this point, I tried running in Terminal conda install -c https://conda.anaconda.org/anaconda pandas-datareader but it did not work as -bash: conda: command not found.
Please help. I am looking for a detailed explanation as I am not too techie.
What I run in Jupiter
import numpy as np
from pandas import Series, DataFrame
import pandas as pd
import pandas_datareader as pdweb
import datetime
Result
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-6-da568f513c93> in <module>
2 from pandas import Series, DataFrame
3 import pandas as pd
----> 4 import pandas_datareader as pdweb
5 import datetime
ModuleNotFoundError: No module named 'pandas_datareader'
Just run
conda install -c anaconda pandas-datareader
as per instructions here.
In my experience, if you're using conda, you should never install with pip unless you're sure conda doesn't have it. Try searching anaconda.org to see which -c source to use.
The problem was with conda command not being set up during the installation of Anaconda. I solved this by removing Anaconda with App Cleaner & Uninstaller Pro (free soft) and reinstalling later version.
After reinstallation of Anaconda command below worked like a charm.
conda install -c anaconda pandas-datareader
If you using Anaconda and still have issues installing panads-datareader using the conda command 'conda install -c anaconda pandas-datareader'. or the installation is successful but the import pandas_datareader.data as web still gives an error.
Locate where your 'site-packages % ' directory and cd to the site-packages % dir and then run the installation command 'conda install -c anaconda pandas-datareader '. It will work.
For the install, try using
pip
instead of
pip3
I am anaconda on a mac os x Yosemite, running python 3.5. I used the following command from anaconda's website
conda install -c menpo opencv3=3.1.0
The terminal read out nothing to do with opencv2.
However, in the ipython console I am unable to import cv3. I get,
conda install -c menpo opencv3=3.1.0
Yet.... interestingly enough I able import cv2. I have read a bit that opencv can be a tricky and wily beast to get working...
Also anaconda specifically says that I have only the opencv3 package.
So, I am wondering... even though I am using opencv3 maybe for some reason it still uses cv2 as the package name to import?
Thanks for any insight!
Apparently, it is just that simple... import cv2 even if you have opencv3.x.
Thank you Miki.
I am trying to use matplotlib. However, when I type import matplotlib, I get the following error:
ImportError: No module named 'matplotlib.pyplot'; 'matplotlib' is not a package
I installed matplotlib using pip install matplotlib.
How do I fix this?
Thanks!
IDLE doesn't have all packages; some are more easily available (and easily installable) with Continuum's Anaconda. You can run Python code with this, and it simplifies installing packages.