{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from beakerx import *\n", "\n", "TableDisplay({\"a\":100, \"b\":200, \"c\":300})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay([{\"a\":1}, {\"a\":10, \"b\":20}])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay({\"a\":1/10, \"b\":1/20, \"c\":0.33})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay([{\"a\":1/10}, {\"a\":1/100, \"b\":3.12345}])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay({\"a\":'a a a', \"b\":'b b b', \"c\":'c c c'})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay([{\"a\":'a'}, {\"a\":'1a', \"b\":'2b'}])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay({\"a\":[1, 2, 3], \"b\":[10, 20, 30], \"c\":[100, 200, 300]})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay([\n", " {\"a\":[1, 2, 3]}, \n", " {\"a\":[10, 20, 30], \"b\":[100, 200, 300]}])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "row1 = {\"a\":100, \"b\":200, \"c\":300}\n", "row2 = {\"a\":1/10, \"b\":1/20, \"c\":0.33}\n", "row3 = {\"a\":'a a a', \"b\":'b b b', \"c\":'c c c'}\n", "row4 = {\"a\":[1, 2, 3], \"b\":[10, 20, 30], \"c\":[100, 200, 300]}\n", "TableDisplay([row1, row2, row3, row4])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay({\"a\":100, \"b\":1/20, \"c\":'c c c', \"d\":[100, 200, 300]})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "row1 = {\"a\":10, \"b\":1/10, \"c\":'c', \"d\":[100, 200]}\n", "row2 = {\"a\":100, \"b\":1/20, \"c\":'c c c', \"d\":[100, 200, 300]}\n", "TableDisplay([row1, row2])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "TableDisplay({10:20, 1/10:1/20, 'c':'c c c', '[100, 200]':[100, 200, 300]})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "row1 = {10:10, 1/10:1/10, 'c':'c'}\n", "row2 = {10:20, 1/10:1/20, 'c':'c c c', '[100, 200]':[100, 200, 300]}\n", "TableDisplay([row1, row2])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from beakerx import *\n", "\n", "df = pd.DataFrame({\"runway\": [\"24\", \"36L\"]})\n", "\n", "TableDisplay(df)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.2" } }, "nbformat": 4, "nbformat_minor": 2 }