Problem regarding np array - change the dtype
up vote
-2
down vote
favorite
Is there any method to make the following "list" removed?
Alright, I want to clarify how I generate p and I would like to simply p to make it easy to be read:
a=['Date,value','20180101,200','20180201,300']
p=np.empty(3,dtype=object)
for k in range(0,3,1):
p[k]=a[k+1].split(","),
p
OUTPUT:
>>> p
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
Also, I have tried:
p.ravel()
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
python arrays
asked Nov 22 at 9:43
Alana
12
add a comment |
up vote
-2
down vote
favorite
Is there any method to make the following "list" removed?
Alright, I want to clarify how I generate p and I would like to simply p to make it easy to be read:
a=['Date,value','20180101,200','20180201,300']
p=np.empty(3,dtype=object)
for k in range(0,3,1):
p[k]=a[k+1].split(","),
p
OUTPUT:
>>> p
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
Also, I have tried:
p.ravel()
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
python arrays
asked Nov 22 at 9:43
Alana
12
How do you generate p ?
– Patol75
Nov 22 at 9:45
@Patol75 i have edited it please have a look thanks
– Alana
Nov 23 at 15:16
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
Is there any method to make the following "list" removed?
Alright, I want to clarify how I generate p and I would like to simply p to make it easy to be read:
a=['Date,value','20180101,200','20180201,300']
p=np.empty(3,dtype=object)
for k in range(0,3,1):
p[k]=a[k+1].split(","),
p
OUTPUT:
>>> p
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
Also, I have tried:
p.ravel()
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
python arrays
asked Nov 22 at 9:43
Alana
12
Is there any method to make the following "list" removed?
Alright, I want to clarify how I generate p and I would like to simply p to make it easy to be read:
a=['Date,value','20180101,200','20180201,300']
p=np.empty(3,dtype=object)
for k in range(0,3,1):
p[k]=a[k+1].split(","),
p
OUTPUT:
>>> p
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
Also, I have tried:
p.ravel()
array([(['20180101', '200'],), (['20180201', '300'],), None], dtype=object)
python arrays
python arrays
asked Nov 22 at 9:43
Alana
12
asked Nov 22 at 9:43
Alana
12
edited Nov 23 at 15:15
asked Nov 22 at 9:43
Alana
12
asked Nov 22 at 9:43
Alana
12
asked Nov 22 at 9:43
Alana
12
12
How do you generate p ?
– Patol75
Nov 22 at 9:45
@Patol75 i have edited it please have a look thanks
– Alana
Nov 23 at 15:16
add a comment |
How do you generate p ?
– Patol75
Nov 22 at 9:45
@Patol75 i have edited it please have a look thanks
– Alana
Nov 23 at 15:16
How do you generate p ?
– Patol75
Nov 22 at 9:45
How do you generate p ?
– Patol75
Nov 22 at 9:45
@Patol75 i have edited it please have a look thanks
– Alana
Nov 23 at 15:16
@Patol75 i have edited it please have a look thanks
– Alana
Nov 23 at 15:16
add a comment |
1 Answer
1
active
oldest
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up vote
0
down vote
ravel
Use ravel to get a unique array from the lists:
my_array = np.array([list([['2018-11-12', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '0']]),
list([['2018-11-13', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '0']]),
list([['2018-11-14', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '0']]),
list([['2018-11-15', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '0']]),
list([['2018-11-16', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '0']])],
dtype=object)
my_array.ravel()
array(['2018-11-12', '25633.199219', '25633.199219', '25633.199219',
'25633.199219', '25633.199219', '0', '2018-11-13', '25792.900391',
'25792.900391', '25792.900391', '25792.900391', '25792.900391',
'0', '2018-11-14', '25654.400391', '25654.400391', '25654.400391',
'25654.400391', '25654.400391', '0', '2018-11-15', '26103.300781',
'26103.300781', '26103.300781', '26103.300781', '26103.300781',
'0', '2018-11-16', '26183.500000', '26183.500000', '26183.500000',
'26183.500000', '26183.500000', '0'], dtype=object)
answered Nov 22 at 9:45
nixon
2,113218
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
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
ravel
Use ravel to get a unique array from the lists:
my_array = np.array([list([['2018-11-12', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '0']]),
list([['2018-11-13', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '0']]),
list([['2018-11-14', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '0']]),
list([['2018-11-15', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '0']]),
list([['2018-11-16', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '0']])],
dtype=object)
my_array.ravel()
array(['2018-11-12', '25633.199219', '25633.199219', '25633.199219',
'25633.199219', '25633.199219', '0', '2018-11-13', '25792.900391',
'25792.900391', '25792.900391', '25792.900391', '25792.900391',
'0', '2018-11-14', '25654.400391', '25654.400391', '25654.400391',
'25654.400391', '25654.400391', '0', '2018-11-15', '26103.300781',
'26103.300781', '26103.300781', '26103.300781', '26103.300781',
'0', '2018-11-16', '26183.500000', '26183.500000', '26183.500000',
'26183.500000', '26183.500000', '0'], dtype=object)
answered Nov 22 at 9:45
nixon
2,113218
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
add a comment |
up vote
0
down vote
ravel
Use ravel to get a unique array from the lists:
my_array = np.array([list([['2018-11-12', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '0']]),
list([['2018-11-13', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '0']]),
list([['2018-11-14', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '0']]),
list([['2018-11-15', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '0']]),
list([['2018-11-16', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '0']])],
dtype=object)
my_array.ravel()
array(['2018-11-12', '25633.199219', '25633.199219', '25633.199219',
'25633.199219', '25633.199219', '0', '2018-11-13', '25792.900391',
'25792.900391', '25792.900391', '25792.900391', '25792.900391',
'0', '2018-11-14', '25654.400391', '25654.400391', '25654.400391',
'25654.400391', '25654.400391', '0', '2018-11-15', '26103.300781',
'26103.300781', '26103.300781', '26103.300781', '26103.300781',
'0', '2018-11-16', '26183.500000', '26183.500000', '26183.500000',
'26183.500000', '26183.500000', '0'], dtype=object)
answered Nov 22 at 9:45
nixon
2,113218
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
add a comment |
up vote
0
down vote
up vote
0
down vote
ravel
Use ravel to get a unique array from the lists:
my_array = np.array([list([['2018-11-12', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '0']]),
list([['2018-11-13', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '0']]),
list([['2018-11-14', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '0']]),
list([['2018-11-15', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '0']]),
list([['2018-11-16', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '0']])],
dtype=object)
my_array.ravel()
array(['2018-11-12', '25633.199219', '25633.199219', '25633.199219',
'25633.199219', '25633.199219', '0', '2018-11-13', '25792.900391',
'25792.900391', '25792.900391', '25792.900391', '25792.900391',
'0', '2018-11-14', '25654.400391', '25654.400391', '25654.400391',
'25654.400391', '25654.400391', '0', '2018-11-15', '26103.300781',
'26103.300781', '26103.300781', '26103.300781', '26103.300781',
'0', '2018-11-16', '26183.500000', '26183.500000', '26183.500000',
'26183.500000', '26183.500000', '0'], dtype=object)
answered Nov 22 at 9:45
nixon
2,113218
ravel
Use ravel to get a unique array from the lists:
my_array = np.array([list([['2018-11-12', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '25633.199219', '0']]),
list([['2018-11-13', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '25792.900391', '0']]),
list([['2018-11-14', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '25654.400391', '0']]),
list([['2018-11-15', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '26103.300781', '0']]),
list([['2018-11-16', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '26183.500000', '0']])],
dtype=object)
my_array.ravel()
array(['2018-11-12', '25633.199219', '25633.199219', '25633.199219',
'25633.199219', '25633.199219', '0', '2018-11-13', '25792.900391',
'25792.900391', '25792.900391', '25792.900391', '25792.900391',
'0', '2018-11-14', '25654.400391', '25654.400391', '25654.400391',
'25654.400391', '25654.400391', '0', '2018-11-15', '26103.300781',
'26103.300781', '26103.300781', '26103.300781', '26103.300781',
'0', '2018-11-16', '26183.500000', '26183.500000', '26183.500000',
'26183.500000', '26183.500000', '0'], dtype=object)
answered Nov 22 at 9:45
nixon
2,113218
edited Nov 22 at 9:52
answered Nov 22 at 9:45
nixon
2,113218
answered Nov 22 at 9:45
nixon
2,113218
answered Nov 22 at 9:45
nixon
2,113218
2,113218
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
add a comment |
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
Thanks for answering. However, it looks the same after trying it
– Alana
Nov 22 at 9:50
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
It does the trick for me @Alana. Your data is a np.array, right? Is your input data the same as mine? Notice I just added it in an edit.
– nixon
Nov 22 at 9:52
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
Sorry for late reply I have changed a bit and added how i generate p however the problem still exist @Alexandre Nixon
– Alana
Nov 23 at 15:16
add a comment |
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How do you generate p ?
– Patol75
Nov 22 at 9:45
@Patol75 i have edited it please have a look thanks
– Alana
Nov 23 at 15:16