From e5be0f7ee6bcaa4b0683cf0cc32a26fd1388af88 Mon Sep 17 00:00:00 2001 From: Pastafarianist Date: Wed, 14 Mar 2018 14:12:44 +0300 Subject: [PATCH 1/2] Mention Jupyter in matplotlib usage --- tutorials/introductory/usage.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/tutorials/introductory/usage.py b/tutorials/introductory/usage.py index fde76daf7532..3d933de9a416 100644 --- a/tutorials/introductory/usage.py +++ b/tutorials/introductory/usage.py @@ -296,11 +296,13 @@ def my_plotter(ax, data1, data2, param_dict): # to the "backend" and many new users are confused by this term. # matplotlib targets many different use cases and output formats. Some # people use matplotlib interactively from the python shell and have -# plotting windows pop up when they type commands. Some people embed -# matplotlib into graphical user interfaces like wxpython or pygtk to -# build rich applications. Others use matplotlib in batch scripts to -# generate postscript images from some numerical simulations, and still -# others in web application servers to dynamically serve up graphs. +# plotting windows pop up when they type commands. Some people run +# Jupyter notebooks and draw inline plots for quick data analysis. +# Others embed matplotlib into graphical user interfaces like wxpython +# or pygtk to build rich applications. Some people use matplotlib in +# batch scripts to generate postscript images from numerical +# simulations, and still others run web application servers to +# dynamically serve up graphs. # # To support all of these use cases, matplotlib can target different # outputs, and each of these capabilities is called a backend; the From 575b15d7d2e002f7cec67247b0332782206393c2 Mon Sep 17 00:00:00 2001 From: Lionel Miller Date: Thu, 15 Mar 2018 00:30:06 +0300 Subject: [PATCH 2/2] Add link to jupyter.org --- tutorials/introductory/usage.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tutorials/introductory/usage.py b/tutorials/introductory/usage.py index 3d933de9a416..2f200fb5d21b 100644 --- a/tutorials/introductory/usage.py +++ b/tutorials/introductory/usage.py @@ -297,12 +297,12 @@ def my_plotter(ax, data1, data2, param_dict): # matplotlib targets many different use cases and output formats. Some # people use matplotlib interactively from the python shell and have # plotting windows pop up when they type commands. Some people run -# Jupyter notebooks and draw inline plots for quick data analysis. -# Others embed matplotlib into graphical user interfaces like wxpython -# or pygtk to build rich applications. Some people use matplotlib in -# batch scripts to generate postscript images from numerical -# simulations, and still others run web application servers to -# dynamically serve up graphs. +# `Jupyter `_ notebooks and draw inline plots for +# quick data analysis. Others embed matplotlib into graphical user +# interfaces like wxpython or pygtk to build rich applications. Some +# people use matplotlib in batch scripts to generate postscript images +# from numerical simulations, and still others run web application +# servers to dynamically serve up graphs. # # To support all of these use cases, matplotlib can target different # outputs, and each of these capabilities is called a backend; the