Numpy: How to cast string array to float while some of the elements contain extra quoted string
I am trying to convert string to float type by the following
X = arr[:,:-1].astype(np.float32)
However, error as below is rising
ValueError: could not convert string to float: '"53"'
I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?
UPDATE 1:
Here is an example to reproduce
import numpy as np
a = np.array([['12','13'],['"53"','44']])
a = a.astype(np.float32)
python numpy
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
add a comment |
I am trying to convert string to float type by the following
X = arr[:,:-1].astype(np.float32)
However, error as below is rising
ValueError: could not convert string to float: '"53"'
I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?
UPDATE 1:
Here is an example to reproduce
import numpy as np
a = np.array([['12','13'],['"53"','44']])
a = a.astype(np.float32)
python numpy
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
1
It would be nice if you could provide a reproducible example.
– Mad Physicist
Nov 14 '18 at 5:17
add a comment |
I am trying to convert string to float type by the following
X = arr[:,:-1].astype(np.float32)
However, error as below is rising
ValueError: could not convert string to float: '"53"'
I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?
UPDATE 1:
Here is an example to reproduce
import numpy as np
a = np.array([['12','13'],['"53"','44']])
a = a.astype(np.float32)
python numpy
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
I am trying to convert string to float type by the following
X = arr[:,:-1].astype(np.float32)
However, error as below is rising
ValueError: could not convert string to float: '"53"'
I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?
UPDATE 1:
Here is an example to reproduce
import numpy as np
a = np.array([['12','13'],['"53"','44']])
a = a.astype(np.float32)
python numpy
python numpy
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
edited Nov 15 '18 at 2:25
Jumabek Alikhanov
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
asked Nov 14 '18 at 5:00
Jumabek AlikhanovJumabek Alikhanov
1,06511018
1,06511018
1
It would be nice if you could provide a reproducible example.
– Mad Physicist
Nov 14 '18 at 5:17
add a comment |
1
It would be nice if you could provide a reproducible example.
– Mad Physicist
Nov 14 '18 at 5:17
1
1
It would be nice if you could provide a reproducible example.
– Mad Physicist
Nov 14 '18 at 5:17
It would be nice if you could provide a reproducible example.
– Mad Physicist
Nov 14 '18 at 5:17
add a comment |
2 Answers
2
active
oldest
votes
Try stripping the double quotes from the array, then casting to float.
Like so:
arr = np.char.strip(arr, '"')
X = arr[:,:-1].astype(np.float32)
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
add a comment |
You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.
Signature:
np.char.replace(a, old, new, count=None)
Docstring: For
each element ina, return a copy of the string with all occurrences
of substringoldreplaced bynew. Callsstr.replaceelement-wise.
import numpy as np
a = np.array([["12","13"],['"53"',"44"]])
b = np.char.replace(a, '"', '')
c = b.astype(np.float32)
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Try stripping the double quotes from the array, then casting to float.
Like so:
arr = np.char.strip(arr, '"')
X = arr[:,:-1].astype(np.float32)
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
add a comment |
Try stripping the double quotes from the array, then casting to float.
Like so:
arr = np.char.strip(arr, '"')
X = arr[:,:-1].astype(np.float32)
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
add a comment |
Try stripping the double quotes from the array, then casting to float.
Like so:
arr = np.char.strip(arr, '"')
X = arr[:,:-1].astype(np.float32)
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
Try stripping the double quotes from the array, then casting to float.
Like so:
arr = np.char.strip(arr, '"')
X = arr[:,:-1].astype(np.float32)
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
edited Nov 14 '18 at 5:12
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
answered Nov 14 '18 at 5:07
Riley Steele ParsonsRiley Steele Parsons
23016
23016
add a comment |
add a comment |
You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.
Signature:
np.char.replace(a, old, new, count=None)
Docstring: For
each element ina, return a copy of the string with all occurrences
of substringoldreplaced bynew. Callsstr.replaceelement-wise.
import numpy as np
a = np.array([["12","13"],['"53"',"44"]])
b = np.char.replace(a, '"', '')
c = b.astype(np.float32)
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
add a comment |
You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.
Signature:
np.char.replace(a, old, new, count=None)
Docstring: For
each element ina, return a copy of the string with all occurrences
of substringoldreplaced bynew. Callsstr.replaceelement-wise.
import numpy as np
a = np.array([["12","13"],['"53"',"44"]])
b = np.char.replace(a, '"', '')
c = b.astype(np.float32)
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
add a comment |
You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.
Signature:
np.char.replace(a, old, new, count=None)
Docstring: For
each element ina, return a copy of the string with all occurrences
of substringoldreplaced bynew. Callsstr.replaceelement-wise.
import numpy as np
a = np.array([["12","13"],['"53"',"44"]])
b = np.char.replace(a, '"', '')
c = b.astype(np.float32)
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.
Signature:
np.char.replace(a, old, new, count=None)
Docstring: For
each element ina, return a copy of the string with all occurrences
of substringoldreplaced bynew. Callsstr.replaceelement-wise.
import numpy as np
a = np.array([["12","13"],['"53"',"44"]])
b = np.char.replace(a, '"', '')
c = b.astype(np.float32)
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
answered Nov 14 '18 at 6:02
NirmalNirmal
167111
167111
add a comment |
add a comment |
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1
It would be nice if you could provide a reproducible example.
– Mad Physicist
Nov 14 '18 at 5:17