Advanced chart styling

Let’s start with our standard stock data.

import plotly.express as px

df_stocks = px.data.stocks()
df_stocks.tail()

	date	GOOG	AAPL	AMZN	FB	NFLX	MSFT
100	2019-12-02	1.216280	1.546914	1.425061	1.075997	1.463641	1.720717
101	2019-12-09	1.222821	1.572286	1.432660	1.038855	1.421496	1.752239
102	2019-12-16	1.224418	1.596800	1.453455	1.104094	1.604362	1.784896
103	2019-12-23	1.226504	1.656000	1.521226	1.113728	1.567170	1.802472
104	2019-12-30	1.213014	1.678000	1.503360	1.098475	1.540883	1.788185

Templates

Documentation:
https://plotly.com/python/templates/

Template options:
plotly, plotly_white, plotly_dark, ggplot2, seaborn, simple_white, none

# normal
stock_fig = px.line(
	data_frame=df_stocks,
	x='date',
	y=['GOOG', 'AAPL'],
)
stock_fig