Lukasz Mentel lmmentel

Dash ML and CV Webinar: Accompanying Document

Dash Gallery: https://dash.plot.ly/gallery
Advanced Development, for your custom dash components: https://plot.ly/products/consulting-and-oem/
Dash Deployment Server to deploy your enterprise apps: https://plot.ly/dash/pricing/
Dash DAQ, for data acquisition in Python: https://www.dashdaq.io/

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start new:

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start new with session name:

tmux new -s myname

	import numpy as np
	import matplotlib.pyplot as plt
	from mpl_toolkits.mplot3d import Axes3D
	from matplotlib.ticker import LinearLocator, FormatStrFormatter

	x = np.linspace(0.0, 1.0, coke.shape[1])
	y = np.linspace(0.0, 240.0, coke.shape[0])
	xx, yy = np.meshgrid(x, y)

	fig = plt.figure(figsize=(18, 14))

	import matplotlib.pyplot as plt
	import seaborn as sns

	rcstyle = {'axes.linewidth': 1.0, 'axes.edgecolor': 'black','ytick.minor.size': 5.0}
	sns.set(font_scale=2.0)
	sns.set_style('ticks', rcstyle)

	plt.figure(figsize=(18, 10))
	ax = sns.heatmap(coke, cmap='magma_r', vmin=0.0, vmax=1.0)

	import matplotlib.pyplot as plt
	from matplotlib import animation

	fig, ax = plt.subplots(figsize=(16, 2))

	ax.get_xaxis().set_visible(False)
	ax.get_yaxis().set_visible(False)

	z = coke[0, :]
	profile = ax.pcolormesh(z[np.newaxis, :], vmin=0.0, vmax=1.0, cmap='magma_r')