How to install bokeh for Python3
I installed bokeh via pip and here is the information of the versions that are installed
pooja@X1-Carbon-6:~$ python3 --version Python 3.5.2 pooja@X1-Carbon-6:~$ python --version Python 2.7.12 pooja@X1-Carbon-6:~$ bokeh --version 0.13.0
for python2, it works fine and could import bokeh
lkhr@X1-Carbon-6:~notebooks$ python Python 2.7.12 (default, Dec 4 2017, 14:50:18) [GCC 5.4.0 20160609] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import bokeh >>>
However, it complains when I use python3
olkhr@X1-Carbon-6:~$ python3 Python 3.5.2 (default, Nov 23 2017, 16:37:01) [GCC 5.4.0 20160609] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import bokeh Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named 'bokeh' >>>
I want to use bokeh in my Python3 Jupyter-Notebook and having problem cos of this, if any suggestions are available, please let me know.
Interactive Data Visualization using Bokeh (in Python), To use the Bokeh server with python 2.7, you also need to install Futures package. Additionally the bokeh.charts interface as well as various examples depend on To install Bokeh and its required dependencies, enter the following command at a Bash or Windows command prompt: conda install bokeh. To install using pip, enter the following command at a Bash or Windows command prompt: pip install bokeh. For more information, refer to the installation documentation.
I had the same problem here.
Apparently, there are some problems with
I solved my problem with re-installing
Bokeh 2.0.2 Documentation, Installation. The easiest way to install Bokeh is using the Anaconda Python distribution and its included Conda package management system. To install Bokeh and conda install bokeh. This will install the most recent published Bokeh release from the Anaconda, Inc. package repository, along with all dependencies. Alternatively, it is possible to install from PyPI using pip: pip install bokeh.
I installed bokeh via pip and here is the information of the versions that are installed pooja@X1-Carbon-6:~$ python3 --version Python 3.5.2 Articles Related to Install Bokeh Python Visualization Library in Jupyter Notebooks. Building Big Data Analytics Solutions In The Cloud With Tools From IBM. We Can Plan Building Big Data Analytics Solutions In The Cloud With Tools From IBM For Cost Reduction, Simplicity & Using Advanced Features. What is Fog Computing, Fog Networking, Fogging
can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. Bokeh is available in R and Scala language as well; however, its Python counterpart is more commonly used than others. Installation. The easiest way to install Boken using Python is through pip package manager. If you have pip installed in your system, run the following command to download and install Bokeh: $ pip install bokeh
to make your visualizations, begin with the User Guide. Bokeh.plotting: A higher-level interface to compose visual glyphs. 2. Bokeh Dependencies. Before beginning with Bokeh, we need to have NumPy installed on our machine. 3. Installing Bokeh Module. The easiest way to install bokeh and its dependencies is by using conda or pip.
Which you can download and install for free. Once you have anaconda installed onto your machine then you can simply run the following in cmd.exe on Windows pip and virtualenv, which come packaged with Python 3, to install and isolate the Bottle, Bokeh, and pandas libraries from other Python projects you are working on; If you need help getting your development environment configured before running this code, take a look at this guide for setting up Python 3 and Bottle on Ubuntu 16.04 LTS.