Flatten a numpy array

Question

I am solving a ODE as follows:

import numpy as np
import scipy as sp
import math
from math import *
from scipy.integrate import odeint
import matplotlib.pyplot as plt

def g(y, x):
    y0 = y[0]
    return x   #formula##

# Initial conditions on y, y' at x=0
init = 0   #value##
# First integrate from 0 to 100
xplotval=np.linspace(4,8,4)  #linspacefunction
print(xplotval)

I am getting output as:

[[ 7.         ]
 [ 5.76455273 ]
 [ 5.41898906 ]
 [ 6.49185668 ]]

I'd like to output a single dimensional array as follows:

[7., 5.76455273, 5.41898906, 6.49185668]

How can I?

Please avoid posting screenshots. Just copypaste your output. — Tobia Tesan
– Tobia Tesan, Commented Sep 14, 2015 at 15:30

Tobia Tesan · Accepted Answer · 2015-09-14 15:37:17Z

1

Maybe you want flatten:

print(xplotval.flatten())

Unless you actually want the transposed vector, which you would get with numpy.transpose:

print(np.transpose(xplotval))

edited Sep 14, 2015 at 15:37

answered Sep 14, 2015 at 15:30

Tobia Tesan

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8 Comments

user1989 Over a year ago

No it is not working as I needed. I need as array. It not makes array!!

user1989 Over a year ago

the elements are not comma seperated. I am getting output as [7. 5.76455273 5.41898906 6.49185668]. I want it as comma seperated

Tobia Tesan Over a year ago

You can output any array separated by commas with string.join(array, ","). In your case print(string.join([str(x) for x in np.transpose(xplotval)], ", ")) should work.

user1989 Over a year ago

what you mean by string? I get as undefined variable

Tobia Tesan Over a year ago

You have to import string first, of course.

|

Paul Evans · Accepted Answer · 2015-09-14 15:42:56Z

0

You can simply use list comprehension, something like:

oneD = [l[0] for l in xplotval]

answered Sep 14, 2015 at 15:42

Paul Evans

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