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How to interpret Pythone memory usage with guppy?

I am using code for spectral estimation of geophysical time series.

import matplotlib.pyplot as plt
plt.style.use("ggplot")
import numpy as np
from mtspec import mtspec
from mtspec.util import _load_mtdata

from guppy import hpy
h = hpy()
print h.heap()

data = np.loadtxt('500.dat')

spec,freq,jackknife,f_statistics,degrees_of_f = mtspec(data=data, delta= 40.0, time_bandwidth=4 ,number_of_tapers=7, nfft= 512, statistics=True)


I got this:

milenko@milenko-HP-Compaq-6830s:~$ python mt4.py
Partition of a set of 214843 objects. Total size = 35303944 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 15461 7 8538896 24 8538896 24 unicode
1 77241 36 7769768 22 16308664 46 str
2 43700 20 3870600 11 20179264 57 tuple
3 582 0 1443984 4 21623248 61 dict of PyQt4.QtCore.pyqtWrapperType
4 352 0 1395712 4 23018960 65 dict of module
5 10118 5 1295104 4 24314064 69 types.CodeType
6 858 0 1265136 4 25579200 72 dict (no owner)
7 9893 5 1187160 3 26766360 76 function
8 1123 1 1112392 3 27878752 79 dict of type
9 1123 1 1012552 3 28891304 82 type
<900 more rows. Type e.g. '_.more' to view.>


If I take time series with 1000points(500 was in previous case),I got the same:

milenko@milenko-HP-Compaq-6830s:~$ python mt5.py
Partition of a set of 214843 objects. Total size = 35303944 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 15461 7 8538896 24 8538896 24 unicode
1 77241 36 7769768 22 16308664 46 str
2 43700 20 3870600 11 20179264 57 tuple
3 582 0 1443984 4 21623248 61 dict of PyQt4.QtCore.pyqtWrapperType
4 352 0 1395712 4 23018960 65 dict of module
5 10118 5 1295104 4 24314064 69 types.CodeType
6 858 0 1265136 4 25579200 72 dict (no owner)
7 9893 5 1187160 3 26766360 76 function
8 1123 1 1112392 3 27878752 79 dict of type
9 1123 1 1012552 3 28891304 82 type
<900 more rows. Type e.g. '_.more' to view.>


So it means that doubling the time series nothing(that I can see) changes.How to interpret this?Is guppy right choice for me?

guppy

1 Answer
1

is it hard to understand python on a professional level? I am a new one in it so I would love to hear an answer from developers... Can somebody tell where I can teach

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