lesson23-24.py

# I am Justin Bois and this is my Python Header
import numpy as np
import scipy.stats


# This is how we import the module of Matplotlib we'll be using
import matplotlib.pyplot as plt

import seaborn as sns
rc={'lines.linewidth': 2, 'axes.labelsize': 18,
'axes.titlesize': 18}
sns.set(rc=rc)

data_txt = np.loadtxt('data/collins_switch.csv',
                      delimiter=',', skiprows=2)

# # Slice out iptg and gfp
iptg = data_txt[:,0]
gfp = data_txt[:,1]
sem = data_txt[:,2]

#
# # Plot ipgt vs gfp
# plt.semilogx(iptg, gfp, linestyle='none', marker='.',
#              markersize=20)
# plt.xlabel('IPTG (mM)')
# plt.ylabel('Normalized GFP')
# plt.title('IPTG Titration - semilog X')
# plt.ylim(-0.02, 1.02)
# plt.xlim(8e-4, 15)
# plt.show()

# # Plot ipgt vs gfp
# plt.errorbar(iptg, gfp, yerr=sem, linestyle='none',
#              marker='.', markersize=20)
# plt.xlabel('IPTG (mM)')
# plt.ylabel('Normalized GFP')
# plt.title('IPTG Titration - semilog X w/ ErrorBars')
# plt.ylim(-0.02, 1.02)
# plt.xlim(8e-4, 15)
# plt.xscale('log')
# plt.show()

# Practice exercise 3