{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": true
},
"source": [
"Table of Contents
\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Description\n",
"This is an example tutorial to use my module bhishan for the plotly\n",
"extension for pandas.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Imports"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2020-09-28T22:09:55.529454Z",
"start_time": "2020-09-28T22:09:55.454170Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The autoreload extension is already loaded. To reload it, use:\n",
" %reload_ext autoreload\n",
"The watermark extension is already loaded. To reload it, use:\n",
" %reload_ext watermark\n",
"Bhishan Poudel 2020-09-28 \n",
"\n",
"CPython 3.7.7\n",
"IPython 7.18.1\n",
"\n",
"compiler : Clang 4.0.1 (tags/RELEASE_401/final)\n",
"system : Darwin\n",
"release : 19.6.0\n",
"machine : x86_64\n",
"processor : i386\n",
"CPU cores : 4\n",
"interpreter: 64bit\n",
"pandas 1.1.0\n",
"bhishan 0.3.1\n",
"seaborn 0.11.0\n",
"autopep8 1.5.2\n",
"numpy 1.18.4\n",
"json 2.0.9\n",
"\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import bhishan\n",
"from bhishan import bp\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%load_ext autoreload\n",
"%load_ext watermark\n",
"\n",
"%autoreload 2\n",
"%watermark -a \"Bhishan Poudel\" -d -v -m\n",
"%watermark -iv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Using plotly api in module bhishan"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2020-09-28T22:06:59.108770Z",
"start_time": "2020-09-28T22:06:59.037561Z"
}
},
"outputs": [
{
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