from mysci.readdata import read_data
from mysci.printing import print_comparison
from mysci.computation import compute_windchill
#column names and column indices to read
columns = {'date': 0, 'time': 1, 'tempout': 2, 'windspeed': 7, 'windchill': 12}
#data types for each column (only if non-string)
types = {'tempout': float, 'windspeed': float, 'windchill': float}
#initialize my data variable
data = {}
for column in columns:
data[column] = []
#read the data file
data = read_data(columns, types=types)
#compute the wind chill temperature
windchill = []
for temp, windspeed in zip(data['tempout'], data['windspeed']):
windchill.append(compute_windchill(temp, windspeed))
#Output comparison
print_comparison('WINDCHILL', data['date'], data['time'], data['windchill'],
windchill)
from mysci.read_data import read_data
from mysci.print import print_comparison
from mysci.computation import compute_windchill
# Column names and column indices to read
columns = {"date": 0, "time": 1, "tempout": 2, "windspeed": 7, "windchill": 12}
# Data types for each column (only if non-string)
types = {"tempout": float, "windspeed": float, "windchill": float}
# Read data from file
data = read_data(columns, types=types)
# compute wind chill index
#windchill = []
#for temperature, windspeed in zip(data["tempout"], data["windspeed"]):
# windchill.append(compute_windchill(temperature, windspeed))
# next line is previous three lines condensed
windchill = [
compute_windchill(temperature, windspeed)
for temperature, windspeed in zip(data["tempout"], data["windspeed"])
]
# Output comparison of data
print_comparison("WINDCHILL", data["date"], data["time"], data["windchill"],
windchill)
from mysci.readdata import read_data
from mysci.printing import print_comparison
from mysci.computation import compute_windchill
# Column names and column indices to read
columns = {'date':0, 'time':1, 'tempout':2, 'windspeed':7,
'windchill':12}
# Data types for each column (only if non-string)
types = {'tempout': float, 'windspeed': float, 'windchill': float}
# Read data from file
data = read_data(columns, types=types)
# Running the function to compute wci
windchill = [compute_windchill(t,w) for t, w in zip(data['tempout'], data['windspeed'])]
# Output comparison of data
print_comparison('WINDCHILL', data['date'], data['time'], data['windchill'], windchill)
from mysci.readdata import read_data
from mysci.printing import print_comparison
from mysci.computation import compute_windchill
# Create a column dictionary (names and indices to read)
columns = {'date': 0, 'time': 1, 'tempout': 2, 'windspeed': 7, 'windchill': 12}
# Data types for each colun (only if not string)
types = {'tempout': float, 'windspeed': float, 'windchill': float}
# Read the data file
data = read_data(columns, types=types)
# Compute windchill index
windchill = [
compute_windchill(t, w) for t, w in zip(data['tempout'], data[windspeed])
]
# Running the function to compute wci
# Output comparison of data
print_comparison('WINDCHILL', data['date'], data['time'], data['windchill'],
windchill)
#DEBUG