How to install chartify on jupyter notebook?

I am unable to install and use spotify's visualization module which is called chartify. https://github.com/spotify/chartify

In the installation it claims I only need to pip3 install it which I did using cmd. Now I have opened my jupyter notebook, and when I try to import the module it can not find it.

import chartify

I expect the module to be imported but instead i get the following

--------ModuleNotFoundError         Traceback (most recent call last)
<ipython-input-32-e4ea3e2db907> in <module>()
----> 1 import chartify

ModuleNotFoundError: No module named 'chartify'

Open a notebook, and enter

import sys
!{sys.executable} -m pip install chartify

into a code cell, execute it, and see how it goes.

It might not work due to missing permissions, but that is fixable.

unable to use chartify in jupyter notebook � Issue #73 � spotify/chartify , cphalpert commented on Mar 10, 2019. Please see the installation instructions in the readme and let us know if there are any issues. Install Python package using Jupyter Notebook Jupyter Notebook is an open-source web application that is used to create and share documents that contain data in different formats which includes live code, equations, visualizations, and text.

we get ModuleNotFoundError: No module named 'chartify' error when the library is not installed .... so i request you to run

pip install chartify

or

conda install chartify

... and then try to import it...... I guess you dont have it installed or downloaded it yet

spotify/chartify: Python library that makes it easy for data , See this notebook for more examples!. Installation. Chartify can be installed via pip: pip3 install chartify. Install chromedriver requirement� In this post I detail how I got started with a local PowerShell Jupyter Notebook. Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include; data cleaning and transformation, numerical simulation, statistical modelling, data

Although the question is old, just for the sake of anyone else who may be reading this: The recommended way of using pip is

python -m pip install <packagename>

Also if you are on Linux (which I'm guessing coz you are typing pip3 and not specified the os) it is recommended that you create a virtual environment to avoid having packages installed for your system python installation.

The reason you do this, on Linux specially is if you have programs which run on python will install a specific version of python for your system. In cases like this where either the package on version of python changes which causes incompatibility between packages, python or the installed program will become a mess to fix.

Always make a virtual enviornment with:

python -m venv <ENV_NAME>
cd <ENV_NAME>
.\bin\activate
python -m pip install <packagename>

When you are done working on the project just do:

deactivate

Using Chartify in Google Colaboratory, Using Chartify with Google Colab notebook requires installing the how we install dependencies for Chartify via Google Colab jupyter notebook. Installing Jupyter Notebook using pip: PIP is a package management system used to install and manage software packages/libraries written in Python. These files are stored in a large “on-line repository” termed as Python Package Index (PyPI).

chartify � PyPI, pip install chartify Chartify is a Python library that makes it easy for data scientists to create charts From there, check out the example notebook for a list of all the available plots. Reduce dependencies by switching from Jupyter to IPython. Installing Jupyter Notebook using Anaconda: Anaconda is an open-source software that contains Jupyter, spyder, etc that are used for large data processing, data analytics, heavy scientific computing. Anaconda works for R and python programming language.

Introducing Chartify: Easier chart creation in Python for data scientists, We have, so we created Chartify, an open-source Python library that wraps Bokeh to make it For example, we built it for working in a jupyter notebook or jupyter lab environment and Follow the installation instructions. This blog post is a step-by-step tutorial to install Python and Jupyter Notebook to Windows 10 (64 bit). Python 3.3 or greater, or Python…

Usage — chartify 2.3.1 documentation, Charts saved as HTML in a Jupyter notebook WILL NOT display on Github. Logos will not display on HTML charts. Recommended when drafting plots. Open source like Python based Graphlab library's output not getting generated because of disabled javascript output. How to enable and set it default in Jupyter Lab. Note that traditionally Jupyter Notebook supports such output.

Comments
  • you can easily clone/download the files and use setup to install.
  • If I had to make an educated guess the problem might be that your jupyter is not installed into the same python interpreter as chartify. You should be able to fix it by also doing pip3 install jupyter
  • can you import chartify from your python console?
  • @MEdwin I have now downloaded and ran setup.py which quickly opens and closes. I tried running it in the same folder where my notebook is and I still get the same error when I try importing. Moreover, I tried restarting kernal, but nothing has changed.
  • @cel I have just tried running cmd with pip3 install jupyter I get that all have already been sucecssfully isntalled.
  • When I try to pip install it, it says all the requirements are already satisfied; But when I try to install it with conda I get 'conda' is not recognized as an internal or external command, operable program or batch file. Which I dont understand as I have anaconda installed and I am running jupyter notebook normally otherwise.