Kathryn Hurchla khurchla

📊

studio|classroom|office

// speaks geek and business // make it work then make it // compelling > persuasive

khurchla / Node_Colormap_nx_mpl

Created May 15, 2022 23:29

Directional node graph of colormap with NetworkX Matplotlib

	{
	"cell_type": "code",
	"execution_count": 13,
	"id": "922307c8",
	"metadata": {},
	"outputs": [
	{
	"data": {
	"image/png": "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

khurchla / Lag_Plot_Time_Series_pd_mpl

Created May 15, 2022 23:03

Pandas & Matplotlib Lag Plot Time Series Analysis

	{
	"cell_type": "markdown",
	"id": "d4a7d047",
	"metadata": {},
	"source": [
	"### Combine these plots in a subplot grid\n",
	"\n",
	"Note, it's not essential to align these y axis ranges because you are analyzing the dots within each change, and you are not comparing each chart to its neighbor as with some other plot types."
	]
	},

khurchla / turtle_normal_dist_line_graph.py

Created May 11, 2022 17:22

Code a turtle named Squirtle to draw and annotate a normally distributed line plot on a graph paper image background.

	# import the turtle library
	import turtle

	# add a graph paper image from file as a background
	turtle.bgpic("Probability_Graph_Paper_Template-landscape.png")

	# change the shape back to the cute little turtle
	turtle.shape("turtle")
	# give it a good name (optional but motivating)
	squirtle = turtle

khurchla / Notebook_Profile_Visualizer_double_histogram_chart_density.py

Last active June 7, 2022 00:35

shorthand version of steps for making double histogram chart on the density data feature using UCI wine quality dataset example

visualization.double_histogram(feature_name="density")