def _add_time_to_xAxis(self,
path,
var='Time',
data=[]): # help function to add_to_x_axis
timePath = findCorrespondingTime(path)
time_data = combineYMDHMwithSec(timePath)
self.add_to_x_axis(path, 'Time', time_data)
def plot_var_time(path, var, fig):
#retrive time data and if not possible just return
axis = []
data = []
timePath = findCorrespondingTime(path)
if timePath is "":
return
time_data = []
time = combineYMDHMwithSec(timePath)
for t in time:
time_data.append(t)
#retive y-axis data
y = getDataFromVar(path, var)
#Create plot
axis.append(fig.add_subplot(1, 1, 1))
axis[0].set_title(
header_info_to_plot(path) + "\n " + "Plot " + name(var) +
" versus Time ")
if len(time_data) == len(y):
#axis[0].xticks(rotation= 80)
axis[0].plot(time_data, y)
axis[0].set_xlabel('Time')
axis[0].set_ylabel(name(var) + unit(var))
#axis[0].set_xticklabels(axis[0].get_xticklabels(), rotation=80)
data.append(pd.Series(y, index=time_data))
else:
raise ValueError('Time and data do not have same length')
return axis, data
def header_plot(path):
#get date of session
timePath = findCorrespondingTime(path)
if timePath != '':
time = combineYMDHMwithSec(timePath)
date = time[1].date()
station = get_var_content_S1("Station", path) # Station is name of data that one seeks.
return ( station + " " + str(date) )
else:
return ('')
def checkIfTimeAvailable(paths, vars):
c = 0
for path in paths:
timePath = findCorrespondingTime(path)
if timePath is "":
return False
time_data = combineYMDHMwithSec(timePath)
y = get_data_to_plot(path, vars[c])
if len(time_data) != len(y[0]):
return False
c += 1
return True
def tableFunctionGeneral(self,paths,vars):
self.data_reset()
timePath = findCorrespondingTime(paths[0].strip())
if os.path.isfile(timePath):
time = combineYMDHMwithSec(timePath)
self.data[Tablefunction.time_key] = time
c = 0
for path in paths:
y = get_data_to_table(path, vars[c])
if len(y) == 1 :
self.data[name(vars[c])] = y[0]
else:
for i in range(len(y)):
y[i]= np.squeeze(np.asarray(y[i])) # to convert matrix to array if needed
self.data[name(vars[c])+'#'+ str(i+1)] = y[i]
c = c + 1
return self.data
def plot_two_var_time(paths, vars, fig):
# Define return arrays'
axis = []
data = []
#try to retrive time data, if can not just return
timePath = findCorrespondingTime(paths[0])
time = combineYMDHMwithSec(timePath)
time_data = []
i = 0
for t in time:
time_data.append(t)
# retriv y-axis data
y1 = getDataFromVar(paths[0], vars[0])
y2 = getDataFromVar(paths[1], vars[1])
if len(time) == len(y1) and len(time) == len(y2):
axis.append(fig.add_subplot(1, 1, 1))
#ax1 = fig.add_subplot(1,1,1)
color = 'tab:red'
axis[0].set_xlabel('Time H:M:S')
axis[0].set_ylabel(name(vars[0]) + unit(paths[0], vars[0]))
axis[0].plot(time_data, y1, color=color)
#plt.xticks( rotation= 80 )
axis[0].tick_params(axis=vars[0], labelcolor=color)
axis.append(axis[0].twinx(
)) # instantiate a second y-axis that shares the same x-axis
color = 'tab:blue'
axis[1].plot(time_data, y2, color=color)
axis[1].set_ylabel(name(vars[1]) + unit(paths[1], vars[1]))
axis[1].tick_params(axis=vars[1], labelcolor=color)
plt.title(
header_info_to_plot(paths[0]) + "\nPlot " + name(vars[0]) +
"and " + name(vars[1]) + " over time ")
data.append(pd.Series(y1, index=time_data))
data.append(pd.Series(y2, index=time_data))
return axis, data
else:
print("Dimensions do not agree")