diff options
| author | Danglewood <85772166+deeleeramone@users.noreply.github.com> | 2023-08-18 09:01:50 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-18 16:01:50 +0000 |
| commit | 673afcf4059cd1daf09ac795d85793c3cdc3ddfc (patch) | |
| tree | 685376f42d7ff5e0dfc2d6a7c20898224b3a08e4 | |
| parent | 50c9d2c4ff3560588cb53a3f046fbaacf7ea42a9 (diff) | |
Adds example notebook for installing in Google Colab (#5333)
* Adds example notebook for installing in Google Colab
* Update README.md
| -rw-r--r-- | examples/README.md | 4 | ||||
| -rw-r--r-- | examples/googleColabInstallation.ipynb | 2491 |
2 files changed, 2495 insertions, 0 deletions
diff --git a/examples/README.md b/examples/README.md index d12e8626fb8..1d5f487e5c7 100644 --- a/examples/README.md +++ b/examples/README.md @@ -59,3 +59,7 @@ This notebook demonstrates how to fetch and work with options chains data. - Calculate and visualize the Net Delta Exposure, in dollars, by strike and expiration. - Visualize the term structure of the implied volatility skew. - Get tables with multiple single-leg options strategies. + +### googleColabInstallation + +This notebook demonstrates how to install the OpenBB SDK within Google Colab. diff --git a/examples/googleColabInstallation.ipynb b/examples/googleColabInstallation.ipynb new file mode 100644 index 00000000000..78d3f1532f5 --- /dev/null +++ b/examples/googleColabInstallation.ipynb @@ -0,0 +1,2491 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "1c14db4b3fa04b67a7265adda2672f58": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DropdownModel", + "model_module_version": "2.0.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "DropdownModel", + "_options_labels": [ + "Cash and cash equivalents", + "Other short-term investments", + "Total cash", + "Net receivables", + "Inventory", + "Other current assets", + "Total current assets", + "Gross property plant and equipment", + "Accumulated depreciation", + "Net property plant and equipment", + "Equity and other investments", + "Other long-term assets", + "Total non-current assets", + "Total assets", + "Current debt", + "Accounts payable", + "Deferred revenues", + "Other current liabilities", + "Total current liabilities", + "Long-term debt", + "Other long-term liabilities", + "Total non-current liabilities", + "Total liabilities", + "Common stock", + "Retained earnings", + "Accumulated other comprehensive income", + "Total stockholders' equity", + "Total liabilities and stockholders' equity" + ], + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "DropdownView", + "description": "", + "description_allow_html": false, + "disabled": false, + "index": 2, + "layout": "IPY_MODEL_5038c42252f245e4906d27a68f23d7cd", + "style": "IPY_MODEL_ce2de0778cf24736b3ed515792072c94", + "tabbable": null, + "tooltip": null + } + }, + "5038c42252f245e4906d27a68f23d7cd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "2.0.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "2.0.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border_bottom": null, + "border_left": null, + "border_right": null, + "border_top": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ce2de0778cf24736b3ed515792072c94": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "2.0.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "description_width": "" + } + } + } + } + }, + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "LNE5BHdkQ6cY" + }, + "outputs": [], + "source": [ + "# You can ignore the red warning messages.\n", + "# The nightly distribution is built from the develop branch on GitHub every night, and will contain bug fixes not available on PyPI.\n", + "# To not use the nightly distribution, run `!pip install openbb`\n", + "# To install locally, follow the instructions here: https://docs.openbb.co/terminal/installation/source\n", + "\n", + "!pip install openbb-nightly" + ] + }, + { + "cell_type": "code", + "source": [ + "# First, restart the runtime by clicking the button.\n", + "\n", + "# Import statements - for many scenarios, the only import needed will be `from openbb_terminal.sdk import openbb`\n", + "\n", + "from IPython.display import display\n", + "from IPython.display import clear_output\n", + "import ipywidgets as widgets\n", + "import numpy as np\n", + "import pandas as pd\n", + "import pandas_ta as ta\n", + "from datetime import datetime\n", + "\n", + "from openbb_terminal.sdk import openbb\n", + "from openbb_terminal import OpenBBFigure\n", + "\n", + "pd.options.plotting.backend = \"plotly\"\n", + "\n", + "# The output of this block can be ignored. The forecast components are not currently compatible with CoLabs.\n", + "# Documentation is found here: https://docs.openbb.co/sdk/usage/basics\n", + "# For additional example notebooks, see: https://my.openbb.co/app/sdk/examples\n", + "# Enter API credentials and generate a personal access token to login remotely: https://my.openbb.co/app/sdk/api-keys" + ], + "metadata": { + "id": "YqSodJvmQ87R" + }, + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Login with:\n", + "\n", + "#openbb.login(token=\"REPLACE_WITH_PAT\")" + ], + "metadata": { + "id": "KkwFZdBqpmvr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "symbol= \"AAPL\"" + ], + "metadata": { + "id": "oWTfr457h470" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "data = openbb.stocks.load(symbol)[\"Close\"].pct_change(21)\n", + "data.tail(2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 107 + }, + "id": "Kwc9TSwXd8jm", + "outputId": "9453751b-5dd1-4961-ab48-8850e89660ef" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading Daily data for AAPL with starting period 2020-08-04.\n" + ], + "text/html": [ + "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2020-08-04.\n", + "</pre>\n" + ] + }, + "metadata": {} + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "date\n", + "2023-08-08 -0.046710\n", + "2023-08-09 -0.045613\n", + "Name: Close, dtype: float64" + ] + }, + "metadata": {}, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Generate output without loading to a variable.\n", + "\n", + "openbb.stocks.load(symbol)[\"Close\"].pct_change(21).plot()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 559 + }, + "id": "BgmixSVBYd_N", + "outputId": "bdcb310f-027f-43f9-9fa2-d63114326ebd" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading Daily data for AAPL with starting period 2020-08-04.\n" + ], + "text/html": [ + "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2020-08-04.\n", + "</pre>\n" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/html": [ + "<html>\n", + "<head><meta charset=\"utf-8\" /></head>\n", + "<body>\n", + " <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: 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