I'm trying to use Modin on Databricks and getting this error
I've tried both pip install modin[all] and pip install modin[ray]
Firstly, the installation takes 15 minutes, which is weird.
After installing, I'm doing
import modin.pandas as md
df = md.read_parquet('s3://path/to/file')
Getting this error
ModuleNotFoundError: No module named 'ray'
I have also tried setting os.environ["MODIN_ENGINE"] = "ray"
I followed the below steps to install Modin using Ray execution engine.
Install Modin dependencies and Ray to run on Ray -
pip install modin[ray]
Also, please customize your Ray environment for use in Modin using the below commands.
import ray
ray.init()
import modin.pandas as pd
Please check out Intel Distribution of Modin (https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-of-modin.html#gs.14j7r0) and Modin official page (https://modin.readthedocs.io/en/stable/) for installation issues and to accelerate pandas workflow on Intel architectures.
Try
pip install ray
May be this will help you.
Related
after importing and installing required packages and libraries I am encountering an import error on patch_sklearn().
from sklearnx import patch_sklearn()
patch_sklearn()
ImportError: cannot import name 'sparse_lsqr' from 'sklearn.utils.fixes' (C:\Users\yogis\AppData\Roaming\Python\Python38\site-packages\sklearn\utils\fixes.py)
Didn't know what you want to do here.
But you can try this:
from sklearn.feature_extraction.image import extract_patches_2d
You must install scikit learn version 1.0 and not 1.1
pip install scikit-learn==1.0
Then after this, restart kernel. If it doesn't work after this, I also had to force reinstall the other packages for conda.
conda install numpy scipy joblib scikit-learn --force-reinstall
and then restart kernel. It worked fine. This is a known bug and is fixed on pypi releases but not yet on conda.
I imported sklearn DecisionBoundaryDisplay via the below command in my Google Colab file.
from sklearn.inspection import DecisionBoundaryDisplay
And I'm getting the following error.
ImportError: cannot import name 'DecisionBoundaryDisplay' from 'sklearn.inspection'
I even installed the following packages & also tried by restarting my runtime but still I'm getting the error.
!pip install --upgrade scikit-learn
!pip install scipy
!pip3 install -U scikit-learn scipy matplotlib
How to fix this issue?
what worked for me was installing scikit learn 1.1.0, i had version 1.0.2 before and got the same error you're encountering.
pip install -U scikit-learn --user
Hope it helps.
It seems DecisionBoundaryDisplay is a new feature and it is currently in an unstable development version. To use it, you need to install the nightly build.
I have created a virtual environment with following syntax in the windows terminal:
conda create --prefix ./modinenv python=3.6 numpy
conda activate e:\modin\modinenv
pip install modin[dask]
jupyter notebook
In a new python file, when i executed this following command:
import modin.pandas as pd
it gives me an error: modulenotfounderror no module named 'modin'
I searched many forum, but got no workable response to this.
I even tried following before import statement:
import os
os.environ["MODIN_ENGINE"] = "dask" # Modin will use Dask
import modin.pandas as pd
This also does not work here. So any help in this regard is appreciated.
Thanks
Gopinath
I have exactly the same environment setting as you.
import os
import modin.pandas as pd
os.environ["MODIN_ENGINE"] = "dask"
Try following:
It seems that your Modin may not install properly, so please try pip install -U modin according to Modin documentation
pip3 install 'modin[dask]'
I'm trying to learn PyCaret but having a problem when trying to import it in Jupyter Lab.
I'm working in a virtualenv and installed pycaret via pip:
pip install pycaret
I can confirm its installed via pip list:
prompt-toolkit 3.0.7
protobuf 3.13.0
py 1.9.0
pycaret 2.1.2
pycparser 2.20
The very first line in the notebook is:
from pycaret.nlp import *
however this results in:
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-3-7c206b4a9ead> in <module>
----> 1 from pycaret.nlp import *
2 import psycopg2
3 import sys, os
4 import numpy as np
5 import pandas as pd
ModuleNotFoundError: No module named 'pycaret'
I'm pulling my hair out trying to figure this out and can't find anyone else with something similar.
I've tried to import via the python shell as well and that works perfectly.
You should create a seperate environment for installing time series alpha module
after creating a new environment and switching into
pip install pycaret-ts-alpha
and then you will be able to access
https://towardsdatascience.com/announcing-pycarets-new-time-series-module-b6e724d4636c
I forgot that you had to install modules via Jupyter.
Following this guide: http://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/index.html
Installing like so:
# Install a pip package in the current Jupyter kernel
import sys
!{sys.executable} -m pip install numpy
Got it working
First Create a new environment conda documentation
Second Download the Pycaret with this instruction
Third check your sklearn version is greater thansklearn>=0.23.2.
Because if it's greater PyCaret is not compatible with that.
Nothing works for you? Download directly from github with this command
pip install git+https://github.com/pycaret/pycaret.git#egg=pycaret
I read on the tutorial page of pycaret that to install it through a Jupyter-notebook you should add an exclamation mark in front of the python command in the Jupyter-cell:
!pip install pycaret
enter code herethis is the image of pip where I installed statsmodels
[This is the error I get when I run the code below][2]
from statsmodels.tsa.seasonal import seasonal_decompose
from dateutil.parser import parse
df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/a10.csv',parse_dates=['date'], index_col = 'date')
result_mul = seasonal_decompose(df['value'],model='multiplicative',extraplote_trend = 'freq')
result_add = seasonal_decompose(df['value'], model='additive',extrapolate_trend= 'freq')
plt.rcParams.update({'figure.figsize': (10,10)})
result_mul.plot().subtitle('Multiplicative Decompose', fontsize=22)
result_add.plot().subtitle('Additive Decompose', fontsize=22)
plt.show()
``
[2]: https://i.stack.imgur.com/hC9tg.png**these are the issues I have been facing please help me, anyone, I have posted my issue in the uploaded screenshots. I was not able to install statsmodels module even when It was installed it several times **
I think you have 0.11.1 version of statsmodels. However, import statsmodels worked in my Jupyter with statsmodels version 0.10.1 but please work on below points and let me know:
Use import statsmodels.api as sm , as recommended in https://www.statsmodels.org/stable/importpaths.html
If above doesn't help, please uninstall statsmodels and use the following command to re-install it: conda install -c anaconda statsmodels. It is recommended in https://anaconda.org/anaconda/statsmodels . After this, try to import.
This worked for me
pip install statsmodels or pip3 install statsmodels