Test your skills
Now that we have gone through each style setting one by one, it's your showtime to combine all the techniques!
import matplotlib.pyplot as plt; plt.rcdefaults() import numpy as np import matplotlib as mpl mpl.style.use('seaborn-darkgrid') # 2001-2015 per genome sequencing cost in USD # Adapted from NIH National Human Genome Research Institute figures # genome.gov/sequencingcosts # Data were quoted from builtwith.com on May 8th 2017 # Seasonal data were averaged by year for simplicity # Prepare the data years = list(range(2001,2016)) y_pos = np.arange(len(years)) seqcost = [95263071.92,70175437.42,61448421.50,53751684.08, 40157554.23,28780376.21,\ 20442576.14,19934345.74,18519312.16,17534969.56,16159699.44, 16180224.10,\ 13801124.19,12585658.90,11732534.52,11455315.22,10474556.36, 9408738.91,\ 9047002.97,8927342.14,7147571.39,3063819.99,1352982.23,752079.90, 342502.06,\ 232735.44,154713.60,108065.14,70333.33,46774.27,31512.04,31124.96, 29091.73,\ 20962.78,16712.01,10496...