As mentioned in the comments, conda support for jupyter notebooks is needed to switch kernels. Seems like this support is now available through conda itself (rather than relying on pip). http://docs.continuum.io/anaconda/user-guide/tasks/use-jupyter-notebook-extensions/ conda install nb_conda which brings three other handy extensions in addition to Notebook Conda Kernels.
You’ll need to use the HTML() or display() functions from IPython’s display module: from IPython.display import display, HTML # Assuming that dataframes df1 and df2 are already defined: print “Dataframe 1:” display(df1) print “Dataframe 2:” display(HTML(df2.to_html())) Note that if you just print df1.to_html() you’ll get the raw, unrendered HTML. You can also import from IPython.core.display … Read more
IPython notebook uses MathJax to render LaTeX inside html/markdown. Just put your LaTeX math inside $$. $$c = \sqrt{a^2 + b^2}$$ Or you can display LaTeX / Math output from Python, as seen towards the end of the notebook tour: from IPython.display import display, Math, Latex display(Math(r’F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx’))
Ctrl + / works for me in Chrome browser in MS Windows. On a Mac, use Cmd + / (thanks Anton K). Please note, if / did not work out of the box, try pressing the / key on the Numpad. Credit: @DreamFlasher in comments to this question.
Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents. It supports several languages like Python (IPython), Julia, R etc. and is largely used for data analysis, data visualization and further interactive, exploratory computing. JupyterLab is the next-generation user interface including notebooks. It has a modular structure, where you can open several … Read more
This worked for me on Ubuntu 16.04: python2 -m pip install ipykernel python2 -m ipykernel install –user python3 -m pip install ipykernel python3 -m ipykernel install –user Reference to the documentation: Kernels for Python 2 and 3. Installing the IPython kernel – IPython Docs.
The default figure size (in inches) is controlled by matplotlib.rcParams[‘figure.figsize’] = [width, height] For example: import matplotlib.pyplot as plt plt.rcParams[‘figure.figsize’] = [10, 5] creates a figure with 10 (width) x 5 (height) inches
This is easy to do using the jupyter-themes package by Kyle Dunovan. You may be able to install it using conda. Otherwise, you will need to use pip. Install it with conda: conda install -c conda-forge jupyterthemes or pip: pip install jupyterthemes You can get the list of available themes with: jt -l So change … Read more
You mustn’t use quotation marks around the name of the image files in markdown! If you carefully read your error message, you will see the two %22 parts in the link. That is the html encoded quotation mark. You have to change the line !How to embed image or picture in jupyter notebook, either from … Read more
Jupyter Notebook and JupyterLab < 3.0 For old Jupyter Notebook interface installed with notebook package and run as jupyter notebook (see the next section for the identical interface installed with nbclassic and run with jupyter nbclassic, and for JupyterLab): Open cmd (or Anaconda Prompt) and run jupyter notebook –generate-config. This writes a file to C:\Users\username\.jupyter\jupyter_notebook_config.py. … Read more