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Anaconda 2 comes with ipython1/23/2024 ![]() 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. Or download the latest version of Anaconda and run the following command to install Python 3.5 (or 3.6) in the root environment: conda install python3.5 or conda install python3.6. sin ( 7 * sGrid + 5 * tGrid ) # r = 2 + sin(7s+5t) x = r * np. We recommend that you download the latest version of Anaconda and then make a Python 3.5 (or 3.6) environment. 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. IPython Installation - IPython is included by default in Anaconda distribution of Python.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: Now you have two environments with which to work. Create a new environment named p圓, install Python 3.5: conda create -name p圓 python3.5. Create a Python 2 environment named py2, install Python 2.7: conda create -name py2 python2.7. You can reload all changed modules before executing a new line. Switching to an environment is called activating it. 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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