Why isn't the constructor called the second time? - python-2.7

Why isn't the constructor called the second time?
from datetime import datetime
class Time(datetime):
def __init__(self, *args):
print 5, args
try:
d = args[0]
print 8, d
datetime.__init__(self,
d.year, d.month, t.day, t.hour, t.minute, t.second)
except Exception:
print 12, args
datetime.__init__(self, args)
if __name__ == '__main__':
t = Time(1965, 1, 10)
print 17, t
u = Time(t)
print 19, u
Using python 2.7.2, here's the output:
bash-4.1$ python tmp.py
5 (1965, 1, 10)
8 1965
12 (1965, 1, 10)
17 1965-01-10 00:00:00
Traceback (most recent call last):
File "tmp.py", line 18, in <module>
u = Time(t)
TypeError: an integer is required
I expected to see:
5 Time(1965, 1, 10)
What function is being called if not the constructor?

It's the type's __new__ method.
__init__ isn't the first thing that happens when you create an object. First, the type's __new__ method is called to actually produce the object, and then __init__ is called to initialize it. For mutable types, __new__ doesn't usually do much, but for immutable types like datetime, __new__ generally creates the object pre-initialized, since otherwise __init__ would have to mutate the object to initialize it.
If you want to inherit from datetime, you have to implement __new__ as well as __init__:
def __new__(cls, *args):
print 5, args
try:
d = args[0]
print 8, d
return datetime.__new__(cls,
d.year, d.month, t.day, t.hour, t.minute, t.second)
except Exception:
print 12, args
return datetime.__new__(cls, args)
If you want to see what datetime's __new__ does, it's visible in Modules/datetimemodule.c. You'll have to know C and know or look up a bunch of Python C-api stuff to understand it, though.

Related

Magic method __repr__ leads to AttributeError with __new__ method

My goal is to give numpy.ndarray a different representation, since I want to represent some arrays with units. Thus, I programmed a class that inherits its attributes/ methods from numpy.ndarray. For the another representation I wanted to use the __repr__ magic method like:
class Quantitiy(np.ndarray):
def __new__(cls, value, unit=None, dtype=None, copy=True, order=None, subok=False, ndmin=0):
value = np.asarray(value)
obj = np.array(value, dtype=dtype, copy=copy, order=order,
subok=True, ndmin=ndmin).view(cls)
obj.__unit = util.def_unit(unit)
obj.__value = value
return obj
def __repr__(self):
prefix = '<{0} '.format(self.__class__.__name__)
sep = ','
arrstr = np.array2string(self.view(np.ndarray),
separator=sep,
prefix=prefix)
return '{0}{1} {2}>'.format(prefix, arrstr, self.__unit)
So far this works fine. However, if I want to access the inherited methods from numpy.ndarray I get a AttributeError because __repr__ cant resolve self.__unit.
I tried to solve this problem with a private method that defines the variable self.__unit and called it within the __new__ method but without success:
class Quantitiy(np.ndarray):
def __new__(cls, value, unit=None, dtype=None, copy=True, order=None, subok=False, ndmin=0):
value = np.asarray(value)
obj = np.array(value, dtype=dtype, copy=copy, order=order, subok=True, ndmin=ndmin).view(cls)
# Here I call the private method to initialize self.__unit.
obj.__set_unit()
obj.__value = value
return obj
def __repr__(self):
prefix = '<{0} '.format(self.__class__.__name__)
sep = ','
arrstr = np.array2string(self.view(np.ndarray), separator=sep, prefix=prefix)
return '{0}{1} {2}>'.format(prefix, arrstr, self.__unit)
# New defined private class.
def __set_unit(self, unit):
self.__unit = util.def_unit(unit)
I can not solve this with something like cls.__unit = util.def_unit(unit) in the __new__ method. I already tried to define a __init__ method after __new__. Moreover, I tried to interchange the private methods with public methods.
What I expect:
>>> array = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
>>> q = Quantity(value, unit="meter / second")
>>> q
<Quantitiy [[1,2,3,4],
[5,6,7,8]] meter/second>
>>> q * q
>>> <Quantitiy [[ 1, 4, 9,16],
[25,36,49,64]] meter**2/second**2>
>>> q.min()
>>> <Quantitiy 1 meter/second>
The actual result is:
>>> array = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
>>> q = Quantity(value, unit="meter / second")
>>> q
<Quantitiy [[1,2,3,4],
[5,6,7,8]] meter/second>
>>> q * q
>>> <Quantitiy [[ 1, 4, 9,16],
[25,36,49,64]] meter**2/second**2>
# Up to here everything works fine.
>>> q.min()
>>> AttributeError: 'Quantitiy' object has no attribute
'_Quantitiy__unit'
Does anyone see the mistake and can help me?
Ok, the answer is - as usual - in the FineManual (and could be found searching for "subclassing numpy ndarray" - which is how I found it actually), and requires implementing __array_finalize__(self, obj) :
import numpy as np
class Quantitiy(np.ndarray):
def __new__(cls, value, unit=None, dtype=None, copy=True, order=None, subok=False, ndmin=0):
value = np.asarray(value)
x = np.array(value, dtype=dtype, copy=copy, order=order, subok=True, ndmin=ndmin)
obj = x.view(type=cls)
obj._unit = unit
obj._value = value
return obj
def __repr__(self):
print("repr %s" % type(self))
prefix = '<{0} '.format(self.__class__.__name__)
sep = ','
arrstr = np.array2string(self.view(np.ndarray),
separator=sep,
prefix=prefix)
return '{0}{1} {2}>'.format(prefix, arrstr, self._unit)
def __array_finalize__(self, obj):
# see InfoArray.__array_finalize__ for comments
if obj is None:
return
self._unit = getattr(obj, '_unit', None)
self._value = getattr(obj, '_value', None)

understanding init and method calling in python

class Vehicle:
def __init__(self, number_of_wheels, type_of_tank, seating_capacity, maximum_velocity):
self.number_of_wheels = number_of_wheels
self.type_of_tank = type_of_tank
self.seating_capacity = seating_capacity
self.maximum_velocity = maximum_velocity
#property
def number_of_wheels(self):
return self.number_of_wheels
#number_of_wheels.setter
def number_of_wheels(number):
self.number_of_wheels = number
def make_noise(self):
print('VRUUUUUUUM')
tesla_model_s = Vehicle(4, 'electric', 5, 250)
print('number of wheels',tesla_model_s.number_of_wheels) # 4
tesla_model_s.number_of_wheels = 2 # setting number of wheels to 2
print('updated number of wheels',tesla_model_s.number_of_wheels) # 2
tesla_model_s.make_noise() # VRUUUUUUUM
when I run this code I got the below error.I think it might be because of getter and setter . Can anyone please help me sort this .
Traceback (most recent call last):
File "classes.py", line 23, in <module>
tesla_model_s.make_noise() # VRUUUUUUUM
AttributeError: Vehicle instance has no attribute 'make_noise'

Invalid literal for float in k nearest neighbor

I am having the hardest time figuring out why i am getting this error. I have searched a lot but unable to fine any solution
import numpy as np
import warnings
from collections import Counter
import pandas as pd
def k_nearest_neighbors(data, predict, k=3):
if len(data) >= k:
warnings.warn('K is set to a value less than total voting groups!')
distances = []
for group in data:
for features in data[group]:
euclidean_distance = np.linalg.norm(np.array(features)-
np.array(predict))
distances.append([euclidean_distance,group])
votes = [i[1] for i in sorted(distances)[:k]]
vote_result = Counter(votes).most_common(1)[0][0]
return vote_result
df = pd.read_csv("data.txt")
df.replace('?',-99999, inplace=True)
df.drop(['id'], 1, inplace=True)
full_data = df.astype(float).values.tolist()
print(full_data)
After running. it gives error
Traceback (most recent call last):
File "E:\Jazab\Machine Learning\Lec18(Testing K Neatest Nerighbors
Classifier)\Lec18(Testing K Neatest Nerighbors
Classifier)\Lec18_Testing_K_Neatest_Nerighbors_Classifier_.py", line 25, in
<module>
full_data = df.astype(float).values.tolist()
File "C:\Python27\lib\site-packages\pandas\util\_decorators.py", line 91, in
wrapper
return func(*args, **kwargs)
File "C:\Python27\lib\site-packages\pandas\core\generic.py", line 3299, in
astype
**kwargs)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 3224, in
astype
return self.apply('astype', dtype=dtype, **kwargs)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 3091, in
apply
applied = getattr(b, f)(**kwargs)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 471, in
astype
**kwargs)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 521, in
_astype
values = astype_nansafe(values.ravel(), dtype, copy=True)
File "C:\Python27\lib\site-packages\pandas\core\dtypes\cast.py", line 636,
in astype_nansafe
return arr.astype(dtype)
ValueError: invalid literal for float(): 3) <-----Reappears in Group 8 as:
Press any key to continue . . .
if i remove astype(float) program run fine
What should i need to do ?
There are bad data (3)), so need to_numeric with apply because need processes all columns.
Non numeric are converted to NaNs, which are replaced by fillna to some scalar, e.g. 0:
full_data = df.apply(pd.to_numeric, errors='coerce').fillna(0).values.tolist()
Sample:
df = pd.DataFrame({'A':[1,2,7], 'B':['3)',4,5]})
print (df)
A B
0 1 3)
1 2 4
2 7 5
full_data = df.apply(pd.to_numeric, errors='coerce').fillna(0).values.tolist()
print (full_data)
[[1.0, 0.0], [2.0, 4.0], [7.0, 5.0]]
It looks like you have 3) as an entry in your CSV file, and Pandas is complaining because it can't cast it to a float because of the ).

Pynmea2 attribute error

I've been using the pynmea2 library, but today I ran a GPGGA message through it and it's throwing an attribute error when trying to access the objects datetime method.
>>> from pynmea2 import parse
>>> a = '$GPGGA,201326.000,3348.5072,N,11809.6409,W,2,20,0.55,37.5,M,-34.3,M,0000,0000*65'
>>> msg = parse(a)
>>> msg
<GGA(timestamp=datetime.time(20, 13, 26), lat='3348.5072', lat_dir='N', lon='11809.6409', lon_dir='W', gps_qual='2', num_sats='20', horizontal_dil='0.55', altitude=37.5, altitude_units='M', geo_sep='-34.3', geo_sep_units='M', age_gps_data='0000', ref_station_id='0000')>
>>> msg.datetime
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/2.7/site-packages/pynmea2/nmea.py", line 154, in __getattr__
raise AttributeError(name)
AttributeError: datetime
Here's what line 154 and everything related states in nmea.py:
def __getattr__(self, name):
#pylint: disable=invalid-name
t = type(self)
try:
i = t.name_to_idx[name]
except KeyError:
raise AttributeError(name)
f = t.fields[i]
if i < len(self.data):
v = self.data[i]
else:
v = ''
if len(f) >= 3:
if v == '':
return None
return f[2](v)
else:
return v
Any ideas what this could be?
Thanks for looking at this!
Found it...GPGGA sentences have no date values in their string.
I think you want to access the timestamp attribute of the GPGGA record, using:
>>> from pynmea2 import parse
>>> a = '$GPGGA,201326.000,3348.5072,N,11809.6409,W,2,20,0.55,37.5,M,-34.3,M,0000,0000*65'
>>> msg = parse(a)
>>> msg
<GGA(timestamp=datetime.time(20, 13, 26), lat='3348.5072', lat_dir='N', lon='11809.6409', lon_dir='W', gps_qual='2', num_sats='20', horizontal_dil='0.55', altitude=37.5, altitude_units='M', geo_sep='-34.3', geo_sep_units='M', age_gps_data='0000', ref_station_id='0000')>
>>> msg.timestamp
datetime.time(20, 13, 26)

Sympy Can't differentiate wrt the variable

I am trying to evaluate a function (second derivative of another one) but Sympy seems to have a difficulty to do that... ?
from sympy import *
from sympy import Symbol
# Symbols
theta = Symbol('theta')
phi = Symbol('phi')
phi0 = Symbol('phi0')
H0 = Symbol('H0')
# Constants
a = 0.05
t = 100*1e-9
b = 0.05**2/(8*pi*1e-7)
c = 0.001/(4*pi*1e-7)
phi0 = 60*pi/180
H0 = -0.03/(4*pi*1e-7)
def m(theta,phi):
return Matrix([[sin(theta)*cos(phi), sin(theta)*cos(phi), cos(phi)]])
def h(phi0):
return Matrix([[cos(phi0), sin(phi0), 0]])
def k(theta,phi,phi0):
return m(theta,phi).dot(h(phi0))
def F(theta,phi,phi0,H0):
return -(t*a*H0)*k(theta,phi,phi0)+b*t*(cos(theta)**2)+c*t*(sin(2*theta)**2)+t*sin(theta)**4*sin(2*phi)**2
def F_theta(theta,phi,phi0,H0):
return simplify(diff(F(theta,phi,phi0,H0),theta))
def F_thetatheta(theta,phi,phi0,H0):
return simplify(diff(F_theta(theta,phi,phi0,H0),theta))
print F_thetatheta(theta,phi,phi0,H0), F_thetatheta(pi/2,phi,phi0,H0)
As seen below, the general function is evaluated but when I try to replace theta by pi/2 or another value, it does not work.
(4.0e-7*pi*sin(theta)**4*cos(2*phi)**2 - 4.0e-7*pi*sin(theta)**4 + 0.00125*sin(theta)**2 - 0.0001875*sqrt(3)*sin(theta)*cos(phi) - 0.0001875*sin(theta)*cos(phi) + 1.2e-6*pi*cos(2*phi)**2*cos(theta)**4 - 1.2e-6*pi*cos(2*phi)**2*cos(theta)**2 - 1.2e-6*pi*cos(theta)**4 + 1.2e-6*pi*cos(theta)**2 + 0.004*cos(2*theta)**2 - 0.002625)/pi
Traceback (most recent call last):
File "Test.py", line 46, in <module>
print F_thetatheta(theta,phi,phi0,H0), F_thetatheta(pi/2,phi,phi0,H0)
File "Test.py", line 29, in F_thetatheta
return simplify(diff(F_theta(theta,phi,phi0,H0),theta))
File "Test.py", line 27, in F_theta
return simplify(diff(F(theta,phi,phi0,H0),theta))
File "/usr/lib64/python2.7/site-packages/sympy/core/function.py", line 1418, in diff
return Derivative(f, *symbols, **kwargs)
File "/usr/lib64/python2.7/site-packages/sympy/core/function.py", line 852, in __new__
Can\'t differentiate wrt the variable: %s, %s''' % (v, count)))
ValueError:
Can't differentiate wrt the variable: pi/2, 1
The error means you can not differentiate with respect to a number, pi/2. Ie, you derive with respect to a variable (x, y...), not a number.
In an expression with several variables, you can substitute one of them (or more) by its value (or another expression) by using subs:
F_thetatheta(theta,phi,phi0,H0).subs(theta, pi/2)
Then, to evaluate it to the desired accuracy you can use evalf. Compare the two results:
F_thetatheta(theta,phi,phi0,H0).evalf(50, subs={theta:pi/2, phi:0})
F_thetatheta(theta,phi,phi0,H0).subs({theta: pi/2, phi:0})
You should probably have a look at the sympy documentation or follow the tutorial. The documentation is very good, and you can even try the examples in the browser and evaluate code.