#Pycharm vs jupyterlab install#
#Pycharm vs jupyterlab code#

P圜harm is ideal for Python programmers and maintaining Notebooks as part of a Python. %config InlineBackend.figure_format = 'retina' JupyterLab is Jupyters next-gen web-based development environment. I am using these added magic functions in Jupyter for the rendering of my figures: %matplotlib inline I am a little confused however why this seems to get so distorted for the Jupyter notebook output.Īny links to helpful resources such as documentation, tutorial, or examples would be greatly appreciated. This makes sense and consequently explains the small height variation in the figure output in P圜harm. So this suggests that the coordinates for the inset axis for Alaska and Hawaii is (for the y coordinate).

Guam_ax = continental_states_ax.inset_axes() Puerto_rico_ax = continental_states_ax.inset_axes() # create two inset plots for the extra regions Hawaii_ax = continental_states_ax.inset_axes()

#Pycharm vs jupyterlab code#

The code that is originally used to construct the figure (containing all of the inset axes) is: fig, continental_states_ax = plt.subplots(figsize=(20, 10))Īlaska_ax = continental_states_ax.inset_axes() Spyder has a better integration when it comes to conda envs, so that'd be a good reason to use it. How can I fix this/why is this occurring? I would go with P圜harm if you need to easily access libraries source code, since you can do so with only a few clicks, and if you need good database integration (since you basically have datagrip integrated). Plot_states(df, column='STATEFP', extra_regions=True, labels='both', cmap='copper_r') Īs you can see, there is a significant amount of stretching that distorts the figure once it is output despite the fact that the function is using the same code. The prebuilt extensions can be distributed via PyPI, conda, and other package managers. JupyterLab can be extended using npm packages that use our public APIs. I then run the same code: from geostates.shapefiles import load_states JupyterLab will eventually replace the classic Jupyter Notebook.

#Pycharm vs jupyterlab install#

However when I run this same code in a Jupyter notebook I first import the package from TestPyPI using: %pip install -i geostates=0.1.2.8 Plot_states(df, column='STATEFP', extra_regions=True, labels='both', cmap='copper_r') When I run this code in P圜harm (using plt.show() for testing): from geostates.shapefiles import load_states The code is the same for each so I am guessing this might have something to do with how they plots are being displayed in different environments? Once I package the project, upload it to the TestPyPI repo, and then install it and run it in a Jupyter notebook locally I get a very different output than when I run/test it in P圜harm. I am writing a Python package that contains a function that creates a plot of the United States.