def plot_data():
"""Plots the data and various transformations of it."""
# Timecourse wells
plt.figure()
plot_all(timecourse_wells)
plt.title("Raw timecourses")
# NBD wells
plt.figure()
plot_all(nbd_wells)
plt.title("NBD-Bax wells, Raw")
# Lipo bg wells
plt.figure()
plot_all(bax_bg_wells)
plt.title("Unlabeled Bax background wells, Raw")
# Averages
plt.figure()
plot_all(timecourse_averages)
plt.title("Average timecourses, all")
# Background-subtracted wells
plt.figure()
plot_all(bgsub_wells)
plt.title("Background-subtracted wells")
def plot_bg():
plt.figure()
plot_all(bg_averages)
plt.title('Measured background conditions')
plt.figure()
plot_all(bg_diff)
plt.title('Calculated background conditions')
def plot(wells):
(means, sds, cvs) = get_means_sds_cvs(wells)
plt.figure()
plot_all(wells)
plt.title("20uL timecourses, raw")
plt.figure()
plt.hist(means, color='r')
plt.title("Distribution of means for individual wells")
plt.xlabel("Timecourse mean")
plt.ylabel("Count")
plt.figure()
plt.hist(sds, color='r')
plt.title("Distribution of SDs for individual wells")
plt.xlabel("Timecourse standard deviation")
plt.ylabel("Count")
plt.figure()
plt.hist(cvs, color='r')
plt.title("Distribution of CVs for individual wells")
plt.xlabel("Timecourse coeff. of variation")
plt.ylabel("Count")
def plot_data():
"""Plots the data and various transformations of it."""
# Timecourse wells
plt.figure()
plot_all(timecourse_wells)
plt.title("Raw timecourses")
# Lipo bg wells
plt.figure()
plot_all(lipo_bg_wells)
plt.title("Lipo background wells")
# Background-subtracted wells
plt.figure()
plot_all(bgsub_wells)
plt.title("Background-subtracted wells")
# Background-normalized wells
plt.figure()
for i, y in enumerate(data_to_fit):
plt.plot(bg_time, y)
plt.title("Background-normalized wells")
def plot_data():
"""Plots the data and various transformations of it."""
plt.figure()
plot_all(bim_bh3)
plt.title('Bim BH3')
plt.figure()
plot_all(bid_80)
plt.title('Bid 80nM')
plt.figure()
plot_all(bid_40)
plt.title('Bid 40 nM')
plt.figure()
plot_all(bid_20)
plt.title('Bid 20 nM')
plt.figure()
plot_all(bid_10)
plt.title('Bid 10 nM')
plt.figure()
plot_all(bid_5)
plt.title('Bid 5 nM')
plt.figure()
plot_all(bid_2)
plt.title('Bid 2 nM')
plt.figure()
plot_all(bid_0)
plt.title('Bid 0 nM')