def read_data(self, fName):
fName += "_optYjunc"
self.x = np.read(fName + "_branching_x.npy")
self.z = np.read(fName + "_branching_z.npy")
self.interpolated_field = np.read(fName + "_interp_field.npy")
self.ideal_index_distribution = np.read(
fName + "_ideal_index_distribution.npy")
if not self.use_ideal_distribution:
self.use_ideal_distribution = np.read(
fName + "_ideal_index_distribution.npy")
def read_arr(fpath):
if fpath.endswith('.npy'):
return np.read(fpath)
elif fpath.endswith('.h5'):
return read_h5arr(fpath)
else:
raise KeyError(fpath)
#==============================================================================
# Read in and convert the file
#==============================================================================
if args.filename.endswith("csv"):
data = np.loadtxt(args.filename, delimiter=",", skiprows=1, dtype=str)
sani_data = np.zeros((data.shape[0], 3))
for i, (day, time, temp, humid) in enumerate(data):
date_str = "{} {}".format(day, time)
date = datetime.datetime.strptime(date_str, "%m/%d/%y %H:%M")
sani_data[i, 0] = date.timestamp()
sani_data[i, 1] = float(temp)
sani_data[i, 2] = float(humid)
elif args.filename.endswith("npy"):
sani_data = np.read(args.filename)
else:
sys.exit("We can't read that file format yet")
# Zero the time column if we want to
if args.relative:
sani_data[:, 0] -= sani_data[0, 0]
#np.save("temp-humi-data.npy", sani_data)
#==============================================================================
# Plotting
#==============================================================================
title = "Physical Quantities Trend"
fontsize = 16
import numpy as np
import matplotlib.pyplot as plt
text = np.read('words.txt')
text = text[:5]
np.savetxt('data.txt', text)
data2 = np.loadtxt('data.txt')
print(data2)
print("IndexError: list index out of range")
finally:
print("In here, we try to dereference the value at index out of bound of list\n")
# Handling TypeError
try:
print(3 + '3')
except:
print("TypeError: unsupported operand type(s) for +: \'int\' and \'str\'")
finally:
print("In here, we try to add a number to string literal\n")
# Handling AttributeError
try:
import numpy
numpy.read(10)
except:
print("AttributeError: module \'numpy\' has no attribute \'read\'")
finally:
print("In here, we try to use an attribute named \'read\' with the numpy library which indeed doesn't exist\n")
# Handling FileNotFoundError
try:
f = open("x.txt", "r")
except:
print("FileNotFoundError: [Errno 2] No such file or directory: \'x.txt\'")
finally:
print("In here, we try to open a file with no existence\n")
# Handling ZeroDivisionError
try:
import numpy as np
features = np.read("numpy_features.npy")