def tempratio(temp_c, mach):
"""Ratio of total temperature and the standard SL temperature"""
temp_k = co.c2k(temp_c)
sealevelstdtmp_k = co.c2k(15.0)
theta0 = (temp_k / sealevelstdtmp_k) * (1 + (mach**2) *
(GAMMA_DRY_AIR - 1) / 2)
return theta0
def environmental_data_dictionary(values_list, index):
"""Designed for the weather data (index = 0) and runway data (index = 1)
Returns a dictionary data set in the form:
[[dictionary_1, flight_1], [dictionary_2, flight_2]]
"""
data_set = environmental_data_filtering(values_list)
data_list = []
number_of_flights = len(values_list)
# Runs through the number of flights and creates a dictionary for each flight
for flight in range(number_of_flights):
data = {}
data_raw = data_set[flight][index]
for entry in data_raw:
if entry is not None and "dummy" not in entry[0].lower():
name = str(entry[0]) + "_" + str(entry[1])
name = name.replace(" ", "_")
data_value = entry[-1][
0] # the [0] is to return just the element (not a list)
data[name] = data_value
if index == 0:
# Additional data calculations for weather data
data["Density_kgperm3"] = data["Pressure_Pa"] / (
287. * uc.c2k(data["Temperature_C"]))
data_list.append([data, values_list[flight][0]])
return data_list