akarve

import seaborn as sns
from scipy.optimize import curve_fit

# Function for linear fit
def func(x, a, b):
    return a + b * x

# Seaborn conveniently provides the data for
# Anscombe's quartet.
df = sns.load_dataset("anscombe")

akarve

<!-- Reference: https://developers.facebook.com/docs/sharing/best-practices#tags -->
<!-- CORE og -->
<!-- Title, without branding. -->
<meta property="og:title" content="" />
<!-- Name, not URL (e.g. Apple, not apple.com) -->
<meta property="og:site_name" content="" />
<!-- URL. Should match canonical URL for SEO. Unique identifier for your article. -->
<meta property="og:url" content="" />
<!-- OPTIONAL description. 2-4 sentences. -->
<meta property="og:description" content="" />

akarve

bg = new BackgroundLayer backgroundColor:"black"

scroll_panel = new Layer
	height: bg.height
	width: bg.width
	backgroundColor: "transparent"
scroll_panel.scrollVertical = true

scroll_content = new Layer
	width: bg.width