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day_13/00_intro_bokeh.ipynb

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@@ -5,14 +5,25 @@
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"colab": {
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"name": "00_intro_bokeh.ipynb",
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"provenance": [],
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"authorship_tag": "ABX9TyNcu2EygP209721OnpTmofI"
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"authorship_tag": "ABX9TyNcu2EygP209721OnpTmofI",
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"include_colab_link": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/gumdropsteve/intro_to_python/blob/main/day_13/00_intro_bokeh.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
@@ -55,7 +66,7 @@
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 1,
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"execution_count": null,
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"outputs": []
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},
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{
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"from bokeh.io import output_notebook, show\r\n",
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"output_notebook()"
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],
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"execution_count": 2,
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"execution_count": null,
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"outputs": []
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},
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{
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 3,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"\r\n",
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"df.tail(3)"
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],
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"execution_count": 5,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "execute_result",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 6,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 7,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 14,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# note, we were writing the chart to lines.html with each run with output_file()\r\n",
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"!ls"
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],
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"execution_count": 12,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 17,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# well what is the datatype in the ds column?\r\n",
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"df['ds']"
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],
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"execution_count": 18,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "execute_result",
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"# let's try converting it to datetime -> https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html\r\n",
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"pd.to_datetime(df['ds'])"
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],
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"execution_count": 19,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "execute_result",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 20,
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"execution_count": null,
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"outputs": [
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 21,
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"execution_count": null,
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"outputs": [
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 22,
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"execution_count": null,
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"outputs": [
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 25,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 26,
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"execution_count": null,
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"outputs": [
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 29,
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"execution_count": null,
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"outputs": [
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)"
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],
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"execution_count": 30,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)\r\n"
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],
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"execution_count": 31,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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"# show the results\r\n",
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"show(p)\r\n"
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],
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"execution_count": 33,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",

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