Currently I have a list of arrays as follows:
array =
[array([100000. , 100848.06652142, 99648.67144694, 102047.67944271,
103655.99048427, 104602.87678005, 104597.83419837, 103505.42736768,
104976.01311214, 104457.34603404, 105855.46549162, 105613.30235519,
105212.71840922, 107647.5054673 ])
array([107647.5054673 , 106891.82007643, 106979.91405552, 106030.74186486,
107856.04281712, 108502.71948581, 106557.2401056 , 105659.59829843,
105663.01875745, 107300.69453018, 106336.34733019, 107584.99034227,
108089.2320392 , 106786.91702337])
array([106786.91702337, 104416.74000465, 101289.12525402, 101932.58219813,
102625.04352578, 101767.46209616, 103345.4263012 , 102816.73322055,
102417.59316407, 104439.37518975, 103755.22627215, 103817.9744686 ,
107872.40234863, 108110.9662065 ])
array([108110.9662065 , 109544.86827069, 111072.22392645, 112618.46235766,
113847.1768898 , 116708.86391903, 115790.02599715, 115614.72242411,
119225.88436354, 121991.38468934, 123304.85972848, 125571.38040251,
122456.3667249 ])
array([122456.3667249 , 127497.74699282, 128659.85495604, 125813.77115906,
129008.46450085, 128111.00914756, 123039.92607546, 124723.87932757,
124181.57385836, 125134.9276196 , 126027.8631434 , 129304.85119148,
128912.58600657])]
What would be the best possible way to join all these subarrays back together into one large array? I tried np.concatenate()
but that did not work.
SOLUTION
For whatever reason, my output would not put commas between the subarrays, once I was able to find the fix for that np.concatenate()
did indeed work.
concatenate works.. I think you forgot some commas in your example data between each array in the list.
import numpy as np
a = [np.array([1,2,3]), np.array(['4','5','6'])]
np.concatenate(a)
outputs
array(['1', '2', '3', '4', '5', '6']
np.concatenate(array)
The only problem, in your example, array
in the list array
(now, do you see how bad it is to use confusing names) should become np.array
and you should add commas after each numpy.ndarray
in the list array
:
array = [np.array([100000., 100848.06652142, 99648.67144694, 102047.67944271,
103655.99048427, 104602.87678005, 104597.83419837, 103505.42736768,
104976.01311214, 104457.34603404, 105855.46549162, 105613.30235519,
105212.71840922, 107647.5054673 ]),
np.array([107647.5054673 , 106891.82007643, 106979.91405552, 106030.74186486,
107856.04281712, 108502.71948581, 106557.2401056 , 105659.59829843,
105663.01875745, 107300.69453018, 106336.34733019, 107584.99034227,
108089.2320392 , 106786.91702337]),
np.array([106786.91702337, 104416.74000465, 101289.12525402, 101932.58219813,
102625.04352578, 101767.46209616, 103345.4263012 , 102816.73322055,
102417.59316407, 104439.37518975, 103755.22627215, 103817.9744686 ,
107872.40234863, 108110.9662065 ]),
np.array([108110.9662065 , 109544.86827069, 111072.22392645, 112618.46235766,
113847.1768898 , 116708.86391903, 115790.02599715, 115614.72242411,
119225.88436354, 121991.38468934, 123304.85972848, 125571.38040251,
122456.3667249 ]),
np.array([122456.3667249 , 127497.74699282, 128659.85495604, 125813.77115906,
129008.46450085, 128111.00914756, 123039.92607546, 124723.87932757,
124181.57385836, 125134.9276196 , 126027.8631434 , 129304.85119148,
128912.58600657])]
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