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: plotly.py is an interactive, open-source, and browser-based graphing library for Python :sparkles: Built on top of plotly.js, plotly.py is a high-level, declarative charting library. 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. You can make many beautiful and engaging charts using Plotly, such as line plots, scatter plots, box plots, histograms, and. 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 What is Plotly It’s an interactive Python graphing library. 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. Consider adding the following lines of code in your notebook: from plotly. For a more detailed answer check my answer here. The bulk of this tutorial discusses executing python code in Jupyter notebooks. In order to install the extensions nodejs is required.
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