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numpy array rows and columns

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Join Date: Nov 2009

Posts: 2

Reputation: Chromana is an unknown quantity at this point

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Chromana

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numpy array rows and columns

19 Days Ago

Hey. I'm importing an array in a text file via array=numpy.loadtxt("testdata.txt") .
Is there an easy way to count the number of rows and columns? Maybe something like x=numpy.countrow(array) ?
I've had a look around and couldn't find anything suitable.
Thanks, Alex

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Join Date: Oct 2004

Posts: 3,985

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vegaseat

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DaniWeb's Hypocrite

18 Days Ago

Use numpy shape ...

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 Python Syntax (Toggle Plain Text) 
import numpy as np
 
# create a 3 by 5 array of integer zeroes
z = np.zeros([3, 5], int)
print( z )
"""
[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]]
"""
 
# check the shape
print( "shape --> %d rows x %d columns" % z.shape )
"""
[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]]
shape --> 3 rows x 5 columns
"""
import numpy as np

# create a 3 by 5 array of integer zeroes
z = np.zeros([3, 5], int)
print( z )
"""
[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]]
"""

# check the shape
print( "shape --> %d rows x %d columns" % z.shape )
"""
[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]]
shape --> 3 rows x 5 columns
"""

Last edited by vegaseat; 18 Days Ago at 7:05 pm.

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