def graph_no_correct(self,average=False): if average == True: no_correct = Graphs(title=self.title,xlabel="Time in Seconds",ylabel="Absorbance",y_names=self.unique_names) fig, ax = no_correct.basic_plot(x_data=self.x_data,y_data=self.averages) plt.show() elif average == False: no_correct = Graphs(title=self.title,xlabel="Time in Seconds",ylabel="Absorbance",y_names=list(self.names)) fig, ax = no_correct.basic_plot(x_data=self.x_data,y_data=self.y_data) plt.show()
def graph_corrected_normalized(self,average=False):
if self.dic == None and average == False:
baseline = raw_input("Which well had the baseline? ")
for i in xrange(0,len(self.names)):
if baseline == self.names[i]:
baseline_number = i
else:
pass
elif self.dic != None and average == False:
for index, name in enumerate(self.names):
if name.lower() == 'baseline':
baseline_number = index
new_names = self.names
new_names.pop(baseline_number)
baseline_list = self.y_data[baseline_number]
data = self.y_data
y_data_baseline = []
elif self.dic != None and average == True:
for index, name in enumerate(self.unique_names):
if name.lower() == 'baseline':
baseline_number = index
new_names = self.unique_names
new_names.pop(baseline_number)
baseline_list = self.averages[baseline_number]
data = self.averages
y_data_baseline = []
for i in xrange(0,len(data)):
y_dat = data[i]
if i == baseline_number:
pass
else:
for j in xrange(0,len(y_dat)):
y_dat[j] = y_dat[j] - baseline_list[j]
y_data_baseline.append(y_dat)
y_data_normalized = []
for i in xrange(0,len(y_data_baseline)):
y_dat = y_data_baseline[i]
normalizer = y_dat[0]
for j in xrange(0,len(y_dat)):
y_dat[j] = y_dat[j] - normalizer
y_data_normalized.append(y_dat)
no_correct = Graphs(title=self.title,xlabel="Time in Seconds",ylabel="Absorbance",y_names=new_names)
fig, ax = no_correct.basic_plot(x_data=self.x_data,y_data=y_data_normalized)
plt.show()
