In [2]:
# - - - - - - IMPORT LIBRARIES
%matplotlib inline
print "importing libraries"
import pandas as pd #for dealing with csv import
import numpy as np #arrays and other matlab like manipulation
import os # for joining paths and filenames sensibly
import matplotlib.pyplot as plt # Matplotlib's pyplot: MATLAB-like syntax
import scipy.stats.mstats as ssm #for bootstrap
from scipy.stats import gaussian_kde as kde
import random
#import mpld3
#mpld3.enable_notebook()
importing libraries
In [3]:
# must specify that blank space " " is NaN
df = pd.read_csv("data_0.txt", sep='\t ')
In [8]:
print df
0.000000 0.000000.1 0.000000.2 0.000000.3 0.027161 0.000000.4 \
0 0 0 0 0.000000 0.027052 0.000000
1 0 0 0 0.000000 0.026944 0.000000
2 0 0 0 0.000000 0.026836 0.001933
3 0 0 0 0.000000 0.026729 0.000000
4 0 0 0 0.000000 0.026622 0.000000
5 0 0 0 0.000000 0.026515 0.000000
6 0 0 0 0.000000 0.026409 0.000000
7 0 0 0 0.000000 0.026304 0.032009
8 0 0 0 0.000000 0.026198 0.145155
9 0 0 0 0.000000 0.026094 0.201211
10 0 0 0 0.000000 0.025989 0.228725
11 0 0 0 0.000000 0.025885 0.241969
12 0 0 0 0.000000 0.025782 0.248081
13 0 0 0 0.000000 0.025679 0.250628
14 0 0 0 0.000000 0.025576 0.251396
15 0 0 0 0.296413 0.025474 0.000000
16 0 0 0 0.545227 0.025372 0.000000
17 0 0 0 0.168047 0.025270 0.000000
18 0 0 0 0.000000 0.025169 0.068014
19 0 0 0 0.000000 0.000000 0.000000
20 0 0 0 0.000000 0.000000 0.000000
21 0 0 0 0.000000 0.000000 0.000000
22 0 0 0 0.000000 0.000000 0.060199
23 0 0 0 0.000000 0.000000 0.159571
24 0 0 0 0.000000 0.000000 0.208740
25 0 0 0 0.000000 0.008735 0.232808
26 0 0 0 0.000000 0.020419 0.244328
27 0 0 0 0.000000 0.026197 0.249577
28 0 0 0 0.000000 0.029021 0.251691
29 0 0 0 0.000000 0.030370 0.252241
30 0 0 0 0.000000 0.030981 0.000000
31 0 0 0 0.000000 0.031223 0.000000
32 0 0 0 0.000000 0.031282 0.000000
33 0 0 0 0.000000 0.031248 0.000000
34 0 0 0 0.000000 0.031169 0.000000
35 0 0 0 0.000000 0.031067 0.000000
36 0 0 0 0.000000 0.030954 0.022476
37 0 0 0 0.000000 0.030836 0.000000
38 0 0 0 0.000000 0.030716 0.000000
39 0 0 0 0.000000 0.030594 0.000000
40 0 0 0 0.000000 0.030473 0.066101
41 0 0 0 0.000000 0.000000 0.167155
42 0 0 0 0.000000 0.000000 0.217146
43 0 0 0 0.000000 0.000000 0.241607
44 0 0 0 0.311559 0.000000 0.253306
45 0 0 0 0.560313 0.000000 0.258625
46 0 0 0 0.183072 0.000000 0.000000
47 0 0 0 0.000000 0.000000 0.000000
48 0 0 0 0.401110 0.013757 0.000000
49 0 0 0 0.602630 0.027374 0.000000
50 0 0 0 0.201782 0.034100 0.000000
51 0 0 0 0.001757 0.037382 0.038251
52 0 0 0 0.000000 0.038941 0.155335
53 0 0 0 0.000000 0.039640 0.000000
54 0 0 0 0.000000 0.039909 0.000000
55 0 0 0 0.316649 0.039963 0.000000
56 0 0 0 0.559157 0.039909 0.080753
57 0 0 0 0.178807 0.000000 0.177844
58 0 0 0 0.000000 0.000000 0.000000
59 0 0 0 0.000000 0.000000 0.000000
... ... ... ... ... ...
0.000000.5 0.000000.6 0.000000.7 0.000000.8 0.000000.9 0.000000.10 \
0 0 0.000000 0 0 0 0
1 0 0.000000 0 0 0 0
2 0 0.000000 0 0 0 0
3 0 0.000000 0 0 0 0
4 0 0.000000 0 0 0 0
5 0 0.000000 0 0 0 0
6 0 0.000000 0 0 0 0
7 0 0.000000 0 0 0 0
8 0 0.000000 0 0 0 0
9 0 0.000000 0 0 0 0
10 0 0.000000 0 0 0 0
11 0 0.000000 0 0 0 0
12 0 0.432908 0 0 0 0
13 0 0.681176 0 0 0 0
14 0 0.803452 0 0 0 0
15 0 0.862738 0 0 0 0
16 0 0.890537 0 0 0 0
17 0 0.402600 0 0 0 0
18 0 0.158802 0 0 0 0
19 0 0.037073 0 0 0 0
20 0 0.000000 0 0 0 0
21 0 0.000000 0 0 0 0
22 0 0.000000 0 0 0 0
23 0 0.000000 0 0 0 0
24 0 0.000000 0 0 0 0
25 0 0.000000 0 0 0 0
26 0 0.000000 0 0 0 0
27 0 0.000000 0 0 0 0
28 0 0.000000 0 0 0 0
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40 0 0.000000 0 0 0 0
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55 0 0.000000 0 0 0 0
56 0 0.000000 0 0 0 0
57 0 0.000000 0 0 0 0
58 0 0.000000 0 0 0 0
59 0 0.000000 0 0 0 0
... ... ... ... ... ...
1.169171 0.089803 0.000000.11 0.598481 0.204581 0.000000.12 \
0 1.372707 0.092379 0.000000 0.173474 0.634493 0.000000
1 0.000000 0.093477 0.000000 0.000000 0.848174 0.000000
2 0.000000 0.093837 0.000000 0.000000 0.953744 0.000000
3 0.000000 0.093829 0.000000 0.000000 1.005260 0.000000
4 0.000000 0.093637 0.000000 0.000000 1.029753 0.000000
5 0.000000 0.093354 0.000000 0.000000 1.040738 0.000000
6 0.000000 0.093027 0.000000 0.260111 0.044971 0.000000
7 0.000000 0.092677 0.000000 0.505768 0.000000 0.174606
8 0.000000 0.092318 0.000000 0.000000 0.300989 0.000000
9 0.000000 0.091955 0.000000 0.000000 0.676109 0.000000
10 0.083627 0.091590 0.961735 0.000000 1.362411 0.000000
11 0.334027 0.091225 1.459067 0.000000 1.703109 0.000000
12 0.958565 0.090861 0.705019 0.000000 1.371011 0.268511
13 1.269043 0.090497 0.328063 0.000000 1.203719 0.801723
14 1.422494 0.090136 0.139653 0.000000 1.118832 1.067179
15 0.497435 0.089775 0.045515 0.214072 0.075151 0.698759
16 0.035390 0.089416 0.000000 0.491041 0.000000 0.514264
17 0.304851 0.000000 0.000000 0.627990 0.000000 0.000000
18 0.438931 0.000000 0.000000 0.694934 0.000000 0.000000
19 0.005322 0.000000 0.000000 0.726883 0.000000 0.000000
20 0.000000 0.000000 0.000000 0.741339 0.005816 0.000000
21 0.181327 0.000000 0.000000 0.747056 0.000000 0.000000
22 0.376839 0.008626 0.000000 0.748409 0.000000 0.057897
23 0.473948 0.055467 0.000000 0.747586 0.000000 0.196990
24 0.021856 0.078682 0.000000 0.245681 0.000000 0.266247
25 0.000000 0.090086 0.000000 0.000000 0.000000 0.300586
26 0.184003 0.095585 0.000000 0.870531 0.000000 0.000000
27 0.377209 0.098133 0.000000 1.304684 0.000000 0.000000
28 0.973167 0.099205 0.000000 0.518284 0.053328 0.000000
29 1.269369 0.099541 0.000000 0.125619 0.551306 0.000000
30 0.415699 0.099509 0.000000 0.429821 0.299039 0.000000
31 0.000000 0.099294 0.000000 0.580454 0.172849 0.000000
32 0.000000 0.098988 0.000000 0.654309 0.000000 0.000000
33 0.000000 0.098638 0.000000 0.689779 0.000000 0.000000
34 0.000000 0.098266 0.000000 0.706064 0.000000 0.106344
35 0.000000 0.097885 0.000000 1.212762 0.000000 0.226312
36 0.000000 0.097499 0.000000 1.462672 0.000000 0.285998
37 0.000000 0.097112 0.000000 0.584202 0.000000 0.815543
38 0.137295 0.096725 0.000000 0.145555 0.000000 1.079156
39 0.000000 0.096339 0.000000 0.000000 0.000000 1.209806
40 0.000000 0.095954 0.000000 0.000000 0.000000 1.273976
41 0.000000 0.095570 0.000000 0.000000 0.000000 0.304908
42 0.000000 0.095188 0.000000 0.304868 0.000000 0.000000
43 0.000000 0.094807 0.000000 0.508764 0.000000 0.000000
44 0.000000 0.094428 0.000000 0.000000 0.078531 0.000000
45 0.000000 0.094050 0.000000 0.000000 0.572414 0.149043
46 0.071573 0.093674 0.000000 0.441119 0.000000 0.743571
47 0.326166 0.093299 0.000000 1.077175 0.000000 1.039682
48 0.000000 0.000000 0.000000 0.391776 0.000000 0.186587
49 0.000000 0.000000 0.000000 0.049664 0.000000 0.000000
50 0.000000 0.000000 0.000000 0.379192 0.000000 0.000000
51 0.000000 0.000000 0.000000 0.542539 0.000000 0.000000
52 0.000000 0.000000 0.000000 0.622801 0.000000 0.000000
53 0.000000 0.012417 0.000000 0.661526 0.000000 0.000000
54 0.000000 0.059242 0.000000 0.679488 0.000000 0.000000
55 0.088045 0.082443 0.000000 0.687074 0.000000 0.000000
56 0.336390 0.093832 0.000000 0.689477 0.000000 0.093963
57 0.000000 0.099316 0.000000 0.689296 0.000000 0.000000
58 0.023260 0.101848 0.000000 0.000000 0.000000 0.000000
59 0.304275 0.102906 0.000000 0.000000 0.000000 0.061370
... ... ... ... ... ...
0.000000.13 0.249450
0 0 0.627425 ...
1 0 0.000000 ...
2 0 0.000000 ...
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8 0 0.000000 ...
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11 0 0.000000 ...
12 0 1.005328 ...
13 0 1.507133 ...
14 0 1.756133 ...
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16 0 1.189088 ...
17 0 0.093318 ...
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48 0 0.240839 ...
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51 0 0.175569 ...
52 0 0.099308 ...
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55 0 0.000000 ...
56 0 0.000000 ...
57 0 0.152620 ...
58 0 0.000000 ...
59 0 0.000000 ...
... ...
[712836 rows x 48 columns]
In [9]:
import numpy as np
In [ ]:
Content source: mathewzilla/TXZY
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