I have technically already installed pandas-profiling using
pip install pandas-profiling
But when I try to import it, I get the following error:
import numpy as np
import pandas as pd
import pandas_profiling
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-1-e1a23f2a6f04> in <module>()
1 import numpy as np
2 import pandas as pd
3 import pandas_profiling
ModuleNotFoundError: No module named 'pandas_profiling'
First Error Image
So I tried installing it in Jupyter Notebook and got the following error as well:
import sys
!{sys.executable} -m pip install pandas-profiling
Collecting pandas-profiling
Could not find a version that satisfies the requirement pandas-profiling
(from versions: )
No matching distribution found for pandas-profiling
Second Error Image
I am also unable to install it using conda for both as I am unable to establish a connection to conda.anaconda.org for some reason.
To others who are looking to resolve this issue try these alternate steps :
Run pip install pandas-profiling command in a separate cell in the jupyter notebook.
After this just restart the kernal and run again. This should definitely work. Worked for me.
Based on the comments I was able to figure out the issue. I had to install jupyter notebook outside of the Anaconda root env and open it from the terminal.
pip3 install jupyter notebook
Once I did that it imported properly.
Steps:
Download the ZIP
Open Anaconda Prompt and go to the directory and extract the files to a folder
cd
C:\Users\farah\Downloads\pandas-profiling-master\pandas-profiling-master
Then type python setup.py install
Now you can use:
import pandas_profiling as pp
df = pd.read_csv('1234.csv')
pp.ProfileReport(df)
Reference: Pandas profiling
!pip install pandas_profiling # Run this from Jupytor notebook Ignore the warnings if any
from pandas_profiling import ProfileReport #restart the kernel if throws error
ProfileReport(df)
Note: This worked for me on Windows 10
From Anaconda Prompt:
conda install -c conda-forge pandas-profiling
Related
Hi everyone, I'm trying to create a network visualization with python using the networkx package. Unfortunately I'm getting a "AttributeError: module 'scipy.sparse' has no attribute 'coo_array'" at the end of my code. I've tried to fix it but every help in the internet points towards upgrading pip or conda which I've done and still get the same error. I'm using jupyter notebooks - any help would be greatly appreciated!
#Prerequisites
import sys
!{sys.executable} -m pip install --user networkx
!{sys.executable} -m pip install --user numpy
!{sys.executable} -m pip install --user pandas
pip install notebook --upgrade
conda upgrade notebook
import networkx as nx
import numpy as np
import pandas as pd
from pathlib import Path
from pandas import DataFrame
#Read in Source File - NB this must match the schema requirements
df_InputData = pd.read_excel("/Users/paulkruse/Desktop/FR/Fr1.xlsx")
Src_Column = 'Source ID'
Tgt_Column = 'Target ID'
print(df_InputData);
#Nodes are positioned using the Fruchterman-Reingold force-directed algorithm.
Q = nx.Graph()
arr_SrcTgt= np.array(df_InputData[[Src_Column, Tgt_Column]])
print(arr_SrcTgt);
Q.add_edges_from(arr_SrcTgt)
dict_Coords = nx.spring_layout(Q)
It seems that your scipy version is out of date. The most recent version 1.8.1 certainly has coo_array function. One way to resolve this should be to upgrade scipy. If you're doing this from inside jupyter notebook, then use
!pip install --user scipy==1.8.1
Make sure to restart kernel after installation.
I was trying to use numpy in Jupyter Notebook in a Python3 virtual environment, but the encountered an error.
In terminal, I did:
$ python3 -m venv py3env
$ source py3env/bin/activate
(py3env)$ jupyter notebook
And on the Jupyter page, I created a new notebook and executed the followings
!pip install numpy
import numpy as np
And the resulting output is this:
Requirement already satisfied: numpy in /Users/MyName/py3env/lib/python3.9/site-packages (1.20.2)
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-4-d83b6b4f94f9> in <module>
1 get_ipython().system('pip install numpy')
----> 2 import numpy as np
ModuleNotFoundError: No module named 'numpy'
The package is already installed but still cannot be found...?
Is there a way to fix this issue?
You may be using pip from a different python installation.
To install with the same python executable as your jupyter kernel, in one cell run:
import sys
Then in another cell run:
!{sys.executable} -m pip install numpy
It would appear you are trying to call a dependency you installed on a virtual environment, attempt to reinstall numpy on jupyter, then try again.
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
I'm getting multiple errors trying to install and import the mglearn library into a Jupyter notebook. I've installed mglearn using the command line using pip install mglearn and also directly into Jupyter using !pip install mglearn. However, when I try to import mglearn I get the error ModuleNotFoundError: No module named 'mglearn'. If I try to install it again I get a Requirement already satisfied response.
I then went into the python terminal with $python3 and tried import mglearn, which was successful. I checked the version and I get 0.1.7.
I've also tried the following code within Jupyter:
import sys
!{sys.executable} -m pip install mglearn
With that code I get a zsh:1: no matches found: error.
I know it's installed and I'm importing it. I'm out of ideas for how to fix this. Any help would be appreciated.
I cannot import pandas_datareader on my jupyter notebook(via anaconda, python3) on my windows 10 laptop. It has been installed and I can see the file but It's having errors with importing into the jupyter notebook file. Any help?
I have tried :
pip install pandas-datareader ,
pip3 install pandas-datareader ,
conda install -c anaconda pandas-datareader
I expect the the code to run smoothly however I get
ModuleNotFoundError Traceback (most recent call last)
in ()
----> 1 import pandas_datareader
ModuleNotFoundError: No module named 'pandas_datareader'
Most obvious reason can be that you are using differnt enviroments(kernels) for jupyter notebook and others. Try running this code inside jupyter notebook empty project:
try:
from pip._internal.operations import freeze
except ImportError: # if your pip version is bigger then 10
from pip.operations import freeze
requirements = freeze.freeze()
for i in requirements:
print(i)
and check if there are your's missing imports
You have to run CMD Prompt from Anaconda navigator or find it from Start menu. Then use this command:
conda install pandas_datareader
I underwent similar difficulties and successfully fixed thanks to this post - Trouble installing some libraries in python (oauth2client and gspread) Conda is installing packagies to environment for Anaconda which is obviously different than pip uses.