![]() ![]() There is new stream of work which was submitted and then accepted as a Jupyter Enhancement Proposal (JEP) as part of the next version (v7): The Jupyter Notebook project is currently undertaking a transition to a more modern code base built from the ground-up using JupyterLab components and extensions. All Notebook v5 users are strongly advised to upgrade to Classic Notebook v6 as soon as possible. After Notebook v7.0 is released, we will no longer maintain Notebook v5. We maintain the two most recently released major versions of Jupyter Notebook, Notebook v5 and Classic Notebook v6. The Jupyter notebook is a web-based notebook environment for interactive Figure ( data = data, layout = layout ) py. Surface ( x = x, y = y, z = z ) data = layout = go. cos ( tGrid ) # z = r*cos(t) surface = go. sin ( tGrid ) # y = r*sin(s)*sin(t) z = r * np. sin ( tGrid ) # x = r*cos(s)*sin(t) y = r * np. sin ( 7 * sGrid + 5 * tGrid ) # r = 2 + sin(7s+5t) x = r * np. Import chart_otly as py import aph_objects as go import numpy as np s = np. iplot ( fig, filename = 'jupyter-Nuclear Waste Sites on American Campuses' ) Layout ( title = 'Nuclear Waste Sites on Campus', autosize = True, hovermode = 'closest', showlegend = False, mapbox = dict ( accesstoken = mapbox_access_token, bearing = 0, center = dict ( lat = 38, lon =- 94 ), pitch = 0, zoom = 3, style = 'light' ), ) fig = dict ( data = data, layout = layout ) py. read_csv ( ' %20o n%20American%20Campuses.csv' ) site_lat = df. Import chart_otly as py import aph_objects as go import pandas as pd # mapbox_access_token = 'ADD YOUR TOKEN HERE' df = pd. See examples of statistic, scientific, 3D charts, and more here. ![]() Plotly: a graphing library for making interactive, publication-quality graphs.SciPy: a Python-based ecosystem of packages for math, science, and engineering.NumPy: a package for scientific computing with tools for algebra, random number generation, integrating with databases, and managing data.Pandas: import data via a url and create a dataframe to easily handle data for analysis and graphing.Some useful packages that we'll use in this tutorial include: You can reload all changed modules before executing a new line. IPython comes with automatic reloading magic. You may want to reload submodules if you've edited the code in one. ![]() When installing packages in Jupyter, you either need to install the package in your actual shell, or run the ! prefix, e.g.: !pip install packagename Skip down to the for more information on using IRkernel with Jupyter notebooks and graphing examples. You can also use Jupyter notebooks to execute R code. The bulk of this tutorial discusses executing python code in Jupyter notebooks. ![]()
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