notebook.ipynb

{
    "cells": [
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import plotly.graph_objects as go\n",
                "import plotly.express as px\n",
                "import pandas as pd\n",
                "df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')\n",
                "\n",
                "fig = go.Figure([go.Scatter(x=df['Date'], y=df['AAPL.High'])])\n",
                "fig.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "df = px.data.stocks(indexed=True)-1\n",
                "fig = px.area(df, facet_col=\"company\", facet_col_wrap=2)\n",
                "fig.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "df = px.data.stocks()\n",
                "fig = px.line(df, x=\"date\", y=df.columns,\n",
                "              hover_data={\"date\": \"|%B %d, %Y\"},\n",
                "              title='custom tick labels')\n",
                "fig.update_xaxes(\n",
                "    dtick=\"M1\",\n",
                "    tickformat=\"%b\\n%Y\")\n",
                "fig.show()"
            ]
        }
    ],
    "metadata": {
        "language_info": {
            "name": "python"
        },
        "orig_nbformat": 4
    },
    "nbformat": 4,
    "nbformat_minor": 2
}