{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Plotly example\n", "\n", "From https://www.pitt.edu/~naraehan/presentation/Graphs_and_Plots_using_Plotly.html" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Pretty printing has been turned OFF\n" ] } ], "source": [ "# Taking care of jupyter environment \n", "# show graphs in-line, and turn on/off pretty_printing of lists\n", "%matplotlib inline \n", "%pprint" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Python environment that we are running under" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "# conda environments:\r\n", "#\r\n", " /data/user/feichtinger/conda-envs/my-test-env1\r\n", "base /opt/psi/Programming/anaconda/2019.07/conda\r\n", "dask-test /opt/psi/Programming/anaconda/2019.07/conda/envs/dask-test\r\n", "datascience_py36 /opt/psi/Programming/anaconda/2019.07/conda/envs/datascience_py36\r\n", "datascience_py37 * /opt/psi/Programming/anaconda/2019.07/conda/envs/datascience_py37\r\n", "focus /opt/psi/Programming/anaconda/2019.07/conda/envs/focus\r\n", "hpce-tools /opt/psi/Programming/anaconda/2019.07/conda/envs/hpce-tools\r\n", "jupyterhub-1.0.0_py36 /opt/psi/Programming/anaconda/2019.07/conda/envs/jupyterhub-1.0.0_py36\r\n", "jupyterhub_dev_py36 /opt/psi/Programming/anaconda/2019.07/conda/envs/jupyterhub_dev_py36\r\n", "mpi-test /opt/psi/Programming/anaconda/2019.07/conda/envs/mpi-test\r\n", "talos_py36 /opt/psi/Programming/anaconda/2019.07/conda/envs/talos_py36\r\n", "tensorflow-1.13.1_py36 /opt/psi/Programming/anaconda/2019.07/conda/envs/tensorflow-1.13.1_py36\r\n", "tensorflow-1.14.0_gpu_py36 /opt/psi/Programming/anaconda/2019.07/conda/envs/tensorflow-1.14.0_gpu_py36\r\n", "dfeich-test-env /psi/home/feichtinger/.conda/envs/dfeich-test-env\r\n", "\r\n" ] } ], "source": [ "!conda info -e" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly\n", "import plotly.graph_objs as go\n", "import numpy as np # So we can use random numbers in examples\n", "\n", "# Must enable in order to use plotly off-line (vs. in the cloud... hate cloud)\n", "plotly.offline.init_notebook_mode()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "mode": "markers", "type": "scatter", "x": [ 0.1393388264912253, -0.921625897616165, -0.4198774746145242, -0.8622203333743328, 0.592551095332045, 1.2697622852449295, -0.9506247062674864, 0.13400789253487203, -1.3146664437866564, -0.9834202424833622, 0.22182880241791458, 1.3928312635447015, 0.311750491815814, 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