How do I keep the dtype intact of a kwarg?
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0
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For a script that I am working on I want to make it optional to pass on an array to a function. The way in which I have attempted to do this is by making the variable in question (residue
) a kwarg
.
The problem is that when I do it in this way, python changes de dtype of the kwarg from a numpy.ndarray
to dict
. The simplest solution is to convert the variable back to a np.array
using:
residue = np.array(residue.values())
But I do not find this a very elegant solution. So I was wondering if someone could show me a "prettier" way to accomplish this and possibly explain to my why python does this?
The function in question is:
#Returns a function for a 2D Gaussian model
def Gaussian_model2D(data,x_box,y_box,amplitude,x_stddev,y_stddev,theta,**residue):
if not residue:
x_mean, y_mean = max_pixel(data) # Returns location of maximum pixel value
else:
x_mean, y_mean = max_pixel(residue) # Returns location of maximum pixel value
g_init = models.Gaussian2D(amplitude,x_mean,y_mean,x_stddev,y_stddev,theta)
return g_init
# end of Gaussian_model2D
The function is called with the following command:
g2_init = Gaussian_model2D(cut_out,x_box,y_box,amp,x_stddev,y_stddev,theta,residue=residue1)
The version of Python that I am working in is 2.7.15
python python-2.7 dictionary kwargs numpy-ndarray
|
show 1 more comment
up vote
0
down vote
favorite
For a script that I am working on I want to make it optional to pass on an array to a function. The way in which I have attempted to do this is by making the variable in question (residue
) a kwarg
.
The problem is that when I do it in this way, python changes de dtype of the kwarg from a numpy.ndarray
to dict
. The simplest solution is to convert the variable back to a np.array
using:
residue = np.array(residue.values())
But I do not find this a very elegant solution. So I was wondering if someone could show me a "prettier" way to accomplish this and possibly explain to my why python does this?
The function in question is:
#Returns a function for a 2D Gaussian model
def Gaussian_model2D(data,x_box,y_box,amplitude,x_stddev,y_stddev,theta,**residue):
if not residue:
x_mean, y_mean = max_pixel(data) # Returns location of maximum pixel value
else:
x_mean, y_mean = max_pixel(residue) # Returns location of maximum pixel value
g_init = models.Gaussian2D(amplitude,x_mean,y_mean,x_stddev,y_stddev,theta)
return g_init
# end of Gaussian_model2D
The function is called with the following command:
g2_init = Gaussian_model2D(cut_out,x_box,y_box,amp,x_stddev,y_stddev,theta,residue=residue1)
The version of Python that I am working in is 2.7.15
python python-2.7 dictionary kwargs numpy-ndarray
2
That is not how optional arguments work.
– user2357112
Nov 19 at 17:54
2
def Gaussian_model2D(data, x_box, y_box, amplitude, x_stddev, y_stddev, theta, residue=None):
– Idlehands
Nov 19 at 17:55
1
dtype
cannot bedict
...
– juanpa.arrivillaga
Nov 19 at 17:58
Makeresidue
an optional argument, something likedef foo(residue=None)
then checkif residue is not None: ... do stuff with residue
– juanpa.arrivillaga
Nov 19 at 17:59
Usingresidue = None
gives me the following error when compiling:ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
– Crispyvb
Nov 19 at 18:09
|
show 1 more comment
up vote
0
down vote
favorite
up vote
0
down vote
favorite
For a script that I am working on I want to make it optional to pass on an array to a function. The way in which I have attempted to do this is by making the variable in question (residue
) a kwarg
.
The problem is that when I do it in this way, python changes de dtype of the kwarg from a numpy.ndarray
to dict
. The simplest solution is to convert the variable back to a np.array
using:
residue = np.array(residue.values())
But I do not find this a very elegant solution. So I was wondering if someone could show me a "prettier" way to accomplish this and possibly explain to my why python does this?
The function in question is:
#Returns a function for a 2D Gaussian model
def Gaussian_model2D(data,x_box,y_box,amplitude,x_stddev,y_stddev,theta,**residue):
if not residue:
x_mean, y_mean = max_pixel(data) # Returns location of maximum pixel value
else:
x_mean, y_mean = max_pixel(residue) # Returns location of maximum pixel value
g_init = models.Gaussian2D(amplitude,x_mean,y_mean,x_stddev,y_stddev,theta)
return g_init
# end of Gaussian_model2D
The function is called with the following command:
g2_init = Gaussian_model2D(cut_out,x_box,y_box,amp,x_stddev,y_stddev,theta,residue=residue1)
The version of Python that I am working in is 2.7.15
python python-2.7 dictionary kwargs numpy-ndarray
For a script that I am working on I want to make it optional to pass on an array to a function. The way in which I have attempted to do this is by making the variable in question (residue
) a kwarg
.
The problem is that when I do it in this way, python changes de dtype of the kwarg from a numpy.ndarray
to dict
. The simplest solution is to convert the variable back to a np.array
using:
residue = np.array(residue.values())
But I do not find this a very elegant solution. So I was wondering if someone could show me a "prettier" way to accomplish this and possibly explain to my why python does this?
The function in question is:
#Returns a function for a 2D Gaussian model
def Gaussian_model2D(data,x_box,y_box,amplitude,x_stddev,y_stddev,theta,**residue):
if not residue:
x_mean, y_mean = max_pixel(data) # Returns location of maximum pixel value
else:
x_mean, y_mean = max_pixel(residue) # Returns location of maximum pixel value
g_init = models.Gaussian2D(amplitude,x_mean,y_mean,x_stddev,y_stddev,theta)
return g_init
# end of Gaussian_model2D
The function is called with the following command:
g2_init = Gaussian_model2D(cut_out,x_box,y_box,amp,x_stddev,y_stddev,theta,residue=residue1)
The version of Python that I am working in is 2.7.15
python python-2.7 dictionary kwargs numpy-ndarray
python python-2.7 dictionary kwargs numpy-ndarray
asked Nov 19 at 17:50
Crispyvb
31
31
2
That is not how optional arguments work.
– user2357112
Nov 19 at 17:54
2
def Gaussian_model2D(data, x_box, y_box, amplitude, x_stddev, y_stddev, theta, residue=None):
– Idlehands
Nov 19 at 17:55
1
dtype
cannot bedict
...
– juanpa.arrivillaga
Nov 19 at 17:58
Makeresidue
an optional argument, something likedef foo(residue=None)
then checkif residue is not None: ... do stuff with residue
– juanpa.arrivillaga
Nov 19 at 17:59
Usingresidue = None
gives me the following error when compiling:ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
– Crispyvb
Nov 19 at 18:09
|
show 1 more comment
2
That is not how optional arguments work.
– user2357112
Nov 19 at 17:54
2
def Gaussian_model2D(data, x_box, y_box, amplitude, x_stddev, y_stddev, theta, residue=None):
– Idlehands
Nov 19 at 17:55
1
dtype
cannot bedict
...
– juanpa.arrivillaga
Nov 19 at 17:58
Makeresidue
an optional argument, something likedef foo(residue=None)
then checkif residue is not None: ... do stuff with residue
– juanpa.arrivillaga
Nov 19 at 17:59
Usingresidue = None
gives me the following error when compiling:ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
– Crispyvb
Nov 19 at 18:09
2
2
That is not how optional arguments work.
– user2357112
Nov 19 at 17:54
That is not how optional arguments work.
– user2357112
Nov 19 at 17:54
2
2
def Gaussian_model2D(data, x_box, y_box, amplitude, x_stddev, y_stddev, theta, residue=None):
– Idlehands
Nov 19 at 17:55
def Gaussian_model2D(data, x_box, y_box, amplitude, x_stddev, y_stddev, theta, residue=None):
– Idlehands
Nov 19 at 17:55
1
1
dtype
cannot be dict
...– juanpa.arrivillaga
Nov 19 at 17:58
dtype
cannot be dict
...– juanpa.arrivillaga
Nov 19 at 17:58
Make
residue
an optional argument, something like def foo(residue=None)
then check if residue is not None: ... do stuff with residue
– juanpa.arrivillaga
Nov 19 at 17:59
Make
residue
an optional argument, something like def foo(residue=None)
then check if residue is not None: ... do stuff with residue
– juanpa.arrivillaga
Nov 19 at 17:59
Using
residue = None
gives me the following error when compiling: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
– Crispyvb
Nov 19 at 18:09
Using
residue = None
gives me the following error when compiling: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
– Crispyvb
Nov 19 at 18:09
|
show 1 more comment
1 Answer
1
active
oldest
votes
up vote
0
down vote
accepted
See the accepted answer here why you always get a mapping-object (aka a dict
) if you pass arguments via **kwargs
; the language spec says:
If the form “**identifier” is present, it is initialized to a new
ordered mapping receiving any excess keyword arguments, defaulting to
a new empty mapping of the same type.
In other words, the behavior you described is exactly what the language guarantees.
One of the reasons for this behavior is that all functions, wrappers, and implementations in the underlying language (e.g. C / J) will understand that **kwargs
is part of the arguments and should be expanded to its key-value combinations.
If you want to preserve your extra-arguments as an object of a certain type, you can't use **kwargs
to do so; pass it via an explicit argument, e.g. extra_args
which has no special meaning.
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
See the accepted answer here why you always get a mapping-object (aka a dict
) if you pass arguments via **kwargs
; the language spec says:
If the form “**identifier” is present, it is initialized to a new
ordered mapping receiving any excess keyword arguments, defaulting to
a new empty mapping of the same type.
In other words, the behavior you described is exactly what the language guarantees.
One of the reasons for this behavior is that all functions, wrappers, and implementations in the underlying language (e.g. C / J) will understand that **kwargs
is part of the arguments and should be expanded to its key-value combinations.
If you want to preserve your extra-arguments as an object of a certain type, you can't use **kwargs
to do so; pass it via an explicit argument, e.g. extra_args
which has no special meaning.
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
add a comment |
up vote
0
down vote
accepted
See the accepted answer here why you always get a mapping-object (aka a dict
) if you pass arguments via **kwargs
; the language spec says:
If the form “**identifier” is present, it is initialized to a new
ordered mapping receiving any excess keyword arguments, defaulting to
a new empty mapping of the same type.
In other words, the behavior you described is exactly what the language guarantees.
One of the reasons for this behavior is that all functions, wrappers, and implementations in the underlying language (e.g. C / J) will understand that **kwargs
is part of the arguments and should be expanded to its key-value combinations.
If you want to preserve your extra-arguments as an object of a certain type, you can't use **kwargs
to do so; pass it via an explicit argument, e.g. extra_args
which has no special meaning.
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
See the accepted answer here why you always get a mapping-object (aka a dict
) if you pass arguments via **kwargs
; the language spec says:
If the form “**identifier” is present, it is initialized to a new
ordered mapping receiving any excess keyword arguments, defaulting to
a new empty mapping of the same type.
In other words, the behavior you described is exactly what the language guarantees.
One of the reasons for this behavior is that all functions, wrappers, and implementations in the underlying language (e.g. C / J) will understand that **kwargs
is part of the arguments and should be expanded to its key-value combinations.
If you want to preserve your extra-arguments as an object of a certain type, you can't use **kwargs
to do so; pass it via an explicit argument, e.g. extra_args
which has no special meaning.
See the accepted answer here why you always get a mapping-object (aka a dict
) if you pass arguments via **kwargs
; the language spec says:
If the form “**identifier” is present, it is initialized to a new
ordered mapping receiving any excess keyword arguments, defaulting to
a new empty mapping of the same type.
In other words, the behavior you described is exactly what the language guarantees.
One of the reasons for this behavior is that all functions, wrappers, and implementations in the underlying language (e.g. C / J) will understand that **kwargs
is part of the arguments and should be expanded to its key-value combinations.
If you want to preserve your extra-arguments as an object of a certain type, you can't use **kwargs
to do so; pass it via an explicit argument, e.g. extra_args
which has no special meaning.
answered Nov 19 at 17:56
user2722968
2,64211637
2,64211637
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
add a comment |
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
I understand, thanks for the explanation!
– Crispyvb
Nov 20 at 11:02
add a comment |
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2
That is not how optional arguments work.
– user2357112
Nov 19 at 17:54
2
def Gaussian_model2D(data, x_box, y_box, amplitude, x_stddev, y_stddev, theta, residue=None):
– Idlehands
Nov 19 at 17:55
1
dtype
cannot bedict
...– juanpa.arrivillaga
Nov 19 at 17:58
Make
residue
an optional argument, something likedef foo(residue=None)
then checkif residue is not None: ... do stuff with residue
– juanpa.arrivillaga
Nov 19 at 17:59
Using
residue = None
gives me the following error when compiling:ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
– Crispyvb
Nov 19 at 18:09