Moyocoyani Molina-Espíritu moyocoyani

A chemist that became a data scientist.

moyocoyani / style_matplotlib_11.py

Created December 4, 2020 00:12

	import seaborn as sns

	#Dataset
	tips = sns.load_dataset("tips")

	#Plot----------------
	#Canvas
	fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100)

	#Chart

moyocoyani / style_matplotlib_12.py

Created December 4, 2020 00:15

	import seaborn as sns

	#Dataset
	tips = sns.load_dataset("tips")

	#Plot----------------
	#Canvas
	fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100)

	#Chart

moyocoyani / style_matplotlib_config.py

Created December 6, 2020 18:13

	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib as mpl

	#Data to plot
	x=np.linspace(1,12,12)
	y=[341,657,424,363,123,544,176,566,737,861,651,719]

	palette={"primary":"#FEF702",
	"background": "#252525",

moyocoyani / style_matplotlib_plot.py

Created December 6, 2020 18:15

	#Canvas
	fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100)

	#Chart
	ax.plot(x,y,color=palette["primary_chart"],
	zorder=2)
	ax.scatter(x,y,color=palette["background"],
	edgecolor=palette["primary"],
	s=90,
	zorder=3)