In [25]:
from astropy.table import Table
from basicio import io
import pandas as pd
In [2]:
fname = 'basicio/example_data/table_data.dat'
data = io.file2strarray(fname)
In [3]:
a = io.strarray2recarray(data)
In [4]:
varstring = 'ID z zERR x0 x0ERR c cERR x1 x1ERR PKMJD PKMJDERR mB mBERR COVx0x1 COVx0c COVx1c CHI2 NDOF FITPROB SNRMAX1 SNRMAX2 SNRMAX3 IDSURVEY TYPE MWEBV TrestMIN TrestMAX'
varnames = varstring.split()
print varnames
['ID', 'z', 'zERR', 'x0', 'x0ERR', 'c', 'cERR', 'x1', 'x1ERR', 'PKMJD', 'PKMJDERR', 'mB', 'mBERR', 'COVx0x1', 'COVx0c', 'COVx1c', 'CHI2', 'NDOF', 'FITPROB', 'SNRMAX1', 'SNRMAX2', 'SNRMAX3', 'IDSURVEY', 'TYPE', 'MWEBV', 'TrestMIN', 'TrestMAX']
In [5]:
a.dtype.names = varnames
In [7]:
Table(a)
Out[7]:
<Table length=96>
ID z zERR x0 x0ERR c cERR x1 x1ERR PKMJD PKMJDERR mB mBERR COVx0x1 COVx0c COVx1c CHI2 NDOF FITPROB SNRMAX1 SNRMAX2 SNRMAX3 IDSURVEY TYPE MWEBV TrestMIN TrestMAX str20 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 int64 float32 float32 float32 float32 int64 int64 float32 float32 float32 6773 0.0893 0.0005 0.00081697 6.28e-05 -0.0728 0.0279 0.0904 0.1562 53678.5 0.14 18.3545 0.0804 -1.15e-06 -1.34e-06 0.000758 221.0 31 1.53e-30 49.35 49.35 29.33 1 120 0.1366 -9.53269 22.5507 17186 0.0785 0.0 0.00046774 1.76e-05 0.101 0.0248 0.5737 0.168 54353.8 0.22 18.96 0.04 -1.11e-06 -2.99e-07 5.74e-05 49.4 36 0.0674 51.69 37.43 36.18 1 120 0.0351 -6.85654 39.3515 03D3ba 0.2912 0.001 3.8536e-05 1.48e-06 0.1026 0.0379 0.7565 0.1584 52749.3 0.44 21.6703 0.041 -6.07e-09 -4.38e-08 -0.00117 17.5 9 0.0409 139.58 120.68 11.47 4 0 0.0128 -14.5715 36.5135 04D1ow 0.915 0.001 4.3024e-06 1.79e-07 -0.1705 0.0489 -0.0146 0.3368 53311.7 0.38 24.0507 0.0442 -3.04e-08 1.72e-09 0.00445 45.5 44 0.408 28.9 19.56 12.21 4 0 0.0265 -13.1441 41.0294 04D3nq 0.22 0.001 9.1867e-05 2.39e-06 -0.0141 0.0252 0.5758 0.1042 53189.8 0.1 20.7271 0.0279 -5.89e-08 -4.57e-08 -7.45e-05 5.5 18 0.998 445.11 414.43 287.94 4 0 0.0097 -11.8574 31.5212 06D3em 0.69 0.001 4.0938e-06 1.3e-07 0.1567 0.0457 0.0139 0.3696 53881.7 0.55 24.1047 0.034 -2.06e-08 -8.55e-10 0.0023 34.3 41 0.761 22.11 19.85 13.18 4 0 0.0105 -13.269 36.442 04D2al 0.836 0.001 4.3415e-06 2.85e-07 -0.1071 0.0887 -1.2229 1.0151 53034.4 1.37 24.0409 0.069 5.34e-08 1.16e-08 0.0587 9.1 13 0.766 22.81 19.11 1.67 4 0 0.017 -7.04079 43.5149 04D1qd 0.767 0.001 4.6575e-06 1.44e-07 0.0334 0.0509 0.274 0.2722 53329.5 0.38 23.9646 0.0332 -1.77e-08 -1.1e-09 0.00336 32.5 32 0.442 24.55 15.57 15.27 4 0 0.028 -10.2579 34.4108 05D4hn 0.842 0.001 4.8893e-06 2.38e-07 0.0737 0.0705 1.4388 0.8289 53693.9 0.79 23.9119 0.0515 -1.31e-07 -2.41e-09 0.027 14.1 18 0.725 27.2 18.36 13.55 4 0 0.0287 -15.0256 8.2974 06D3en 1.06 0.001 3.1053e-06 2.38e-07 -0.181 0.0577 -1.0871 0.3803 53881.6 0.86 24.4048 0.0802 -2.56e-08 7.96e-09 0.00557 28.1 35 0.791 14.42 8.83 6.33 4 0 0.0111 -14.7276 29.9383 ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... 05D3gp 0.58 0.001 9.1772e-06 4.31e-07 -0.0854 0.0458 -0.563 0.4158 53454.9 0.36 23.2282 0.0498 -1.41e-07 -8.38e-09 0.00718 42.7 41 0.399 27.73 16.28 9.49 4 0 0.0088 -9.09159 43.9222 03D1co 0.679 0.001 5.4032e-06 2.25e-07 -0.058 0.0467 0.7554 0.4174 52954.4 0.4 23.8034 0.0443 -6.53e-08 -2.53e-09 0.00649 41.9 43 0.52 23.1 20.37 7.7 4 0 0.0299 -14.8779 42.8341 04D2fp 0.415 0.001 2.2215e-05 5.66e-07 -0.0481 0.027 0.3358 0.1454 53107.4 0.18 22.2684 0.0273 -2.69e-08 -9.48e-09 -9.33e-05 19.5 17 0.3 68.13 65.76 37.19 4 0 0.0197 -9.9261 30.986 04D4fx 0.629 0.001 9.0283e-06 2.69e-07 -0.0072 0.035 0.9737 0.2357 53242.5 0.24 23.246 0.0319 -3.72e-08 -3.15e-09 0.00104 49.7 43 0.223 51.81 41.66 16.06 4 0 0.028 -11.0137 44.6762 05D4be 0.537 0.001 1.6136e-05 4.12e-07 -0.1632 0.0274 1.0474 0.1652 53551.5 0.23 22.6155 0.0274 -2.6e-08 -5.45e-09 0.000173 83.6 51 0.00268 59.61 55.71 52.52 4 0 0.0282 -14.2593 42.8909 06D2ga 0.84 0.001 4.4516e-06 3.31e-07 -0.0256 0.0763 1.6814 1.0836 53869.2 0.87 24.0137 0.0779 -2.61e-07 -2.59e-09 0.038 11.3 13 0.584 19.62 12.97 7.14 4 0 0.0198 -11.3742 9.26739 05D3mn 0.76 0.001 5.6671e-06 1.43e-07 -0.026 0.0485 0.1184 0.298 53559.3 0.36 23.7516 0.0271 -1.16e-08 -1.36e-10 0.00222 19.8 18 0.344 58.52 35.29 15.49 4 0 0.0089 -14.2253 15.2935 05D2ct 0.734 0.001 4.133e-06 2.2e-07 0.0969 0.0566 0.3254 0.4992 53425.2 0.47 24.0943 0.0564 -8.21e-08 -1.98e-09 0.00765 39.8 31 0.134 19.77 14.61 7.42 4 0 0.0177 -9.65332 40.4679 05D2by 0.891 0.001 3.4904e-06 1.61e-07 -0.0148 0.0584 1.5266 0.5413 53413.1 0.77 24.2778 0.0488 -3.17e-08 3.27e-09 0.00663 24.7 31 0.783 26.08 14.46 11.21 4 0 0.0177 -14.5856 43.4793 04D1sa 0.585 0.001 8.7514e-06 2.78e-07 -0.0834 0.0337 -0.5237 0.3037 53360.2 0.33 23.2798 0.034 -4.63e-08 -3.32e-09 0.00232 27.9 23 0.219 39.71 37.19 23.96 4 0 0.0252 -11.2076 18.9507
In [9]:
io.arraydtypes(data)
Out[9]:
dtype([('f0', 'S20'), ('f1', '<f4'), ('f2', '<f4'), ('f3', '<f4'), ('f4', '<f4'), ('f5', '<f4'), ('f6', '<f4'), ('f7', '<f4'), ('f8', '<f4'), ('f9', '<f4'), ('f10', '<f4'), ('f11', '<f4'), ('f12', '<f4'), ('f13', '<f4'), ('f14', '<f4'), ('f15', '<f4'), ('f16', '<f4'), ('f17', '<i8'), ('f18', '<f4'), ('f19', '<f4'), ('f20', '<f4'), ('f21', '<f4'), ('f22', '<i8'), ('f23', '<i8'), ('f24', '<f4'), ('f25', '<f4'), ('f26', '<f4')])
In [10]:
import numpy as np
In [11]:
np.core.rec.fromrecords(fname, dtype=io.arraydtypes(data))
Out[11]:
rec.array(('basicio/example_data', 1.0397223317042385e+21, 1.6483728578930182e+22, 5.126244220776677e-11, 1.0687854727639527e-38, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0, 0.0, 0.0, 0.0),
dtype=[('f0', 'S20'), ('f1', '<f4'), ('f2', '<f4'), ('f3', '<f4'), ('f4', '<f4'), ('f5', '<f4'), ('f6', '<f4'), ('f7', '<f4'), ('f8', '<f4'), ('f9', '<f4'), ('f10', '<f4'), ('f11', '<f4'), ('f12', '<f4'), ('f13', '<f4'), ('f14', '<f4'), ('f15', '<f4'), ('f16', '<f4'), ('f17', '<i8'), ('f18', '<f4'), ('f19', '<f4'), ('f20', '<f4'), ('f21', '<f4'), ('f22', '<i8'), ('f23', '<i8'), ('f24', '<f4'), ('f25', '<f4'), ('f26', '<f4')])
In [12]:
aa = np.zeros(len(data), dtype=io.arraydtypes(data))
In [13]:
aa[0] = a[0]
In [14]:
aa.dtype
Out[14]:
dtype([('f0', 'S20'), ('f1', '<f4'), ('f2', '<f4'), ('f3', '<f4'), ('f4', '<f4'), ('f5', '<f4'), ('f6', '<f4'), ('f7', '<f4'), ('f8', '<f4'), ('f9', '<f4'), ('f10', '<f4'), ('f11', '<f4'), ('f12', '<f4'), ('f13', '<f4'), ('f14', '<f4'), ('f15', '<f4'), ('f16', '<f4'), ('f17', '<i8'), ('f18', '<f4'), ('f19', '<f4'), ('f20', '<f4'), ('f21', '<f4'), ('f22', '<i8'), ('f23', '<i8'), ('f24', '<f4'), ('f25', '<f4'), ('f26', '<f4')])
In [15]:
aa['f0']
Out[15]:
array(['6773', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', ''],
dtype='|S20')
In [17]:
dt = io.arraydtypes(data)
In [18]:
aaa = np.array([('s0', 2.3),('s1', 3.4)], dtype=np.dtype([('mystring', 'S20'), ('myval', '<f4')]))
In [19]:
aaa.dtype
Out[19]:
dtype([('mystring', 'S20'), ('myval', '<f4')])
In [20]:
dd = np.format_parser(formats=['S20','<f4'], names=['mystring', 'myval'], titles=None)
In [21]:
print dd.dtype
[('mystring', 'S20'), ('myval', '<f4')]
In [22]:
aaaa = np.array([('s0', 2.3),('s1', 3.4)], dtype=dd)
In [23]:
aaaa.dtype
Out[23]:
dtype([('mystring', 'S20'), ('myval', '<f4')])
In [26]:
df = pd.DataFrame(a)
In [27]:
df
Out[27]:
ID
z
zERR
x0
x0ERR
c
cERR
x1
x1ERR
PKMJD
...
NDOF
FITPROB
SNRMAX1
SNRMAX2
SNRMAX3
IDSURVEY
TYPE
MWEBV
TrestMIN
TrestMAX
0
6773
0.0893
0.0005
0.000817
6.280000e-05
-0.0728
0.0279
0.0904
0.1562
53678.492188
...
31
1.530000e-30
49.349998
49.349998
29.330000
1
120
0.1366
-9.532692
22.550652
1
17186
0.0785
0.0000
0.000468
1.760000e-05
0.1010
0.0248
0.5737
0.1680
54353.808594
...
36
6.740000e-02
51.689999
37.430000
36.180000
1
120
0.0351
-6.856541
39.351463
2
03D3ba
0.2912
0.0010
0.000039
1.480000e-06
0.1026
0.0379
0.7565
0.1584
52749.304688
...
9
4.090000e-02
139.580002
120.680000
11.470000
4
0
0.0128
-14.571482
36.513504
3
04D1ow
0.9150
0.0010
0.000004
1.790000e-07
-0.1705
0.0489
-0.0146
0.3368
53311.710938
...
44
4.080000e-01
28.900000
19.559999
12.210000
4
0
0.0265
-13.144104
41.029362
4
04D3nq
0.2200
0.0010
0.000092
2.390000e-06
-0.0141
0.0252
0.5758
0.1042
53189.792969
...
18
9.980000e-01
445.109985
414.429993
287.940002
4
0
0.0097
-11.857417
31.521168
5
06D3em
0.6900
0.0010
0.000004
1.300000e-07
0.1567
0.0457
0.0139
0.3696
53881.734375
...
41
7.610000e-01
22.110001
19.850000
13.180000
4
0
0.0105
-13.269043
36.442032
6
04D2al
0.8360
0.0010
0.000004
2.850000e-07
-0.1071
0.0887
-1.2229
1.0151
53034.406250
...
13
7.660000e-01
22.809999
19.110001
1.670000
4
0
0.0170
-7.040792
43.514935
7
04D1qd
0.7670
0.0010
0.000005
1.440000e-07
0.0334
0.0509
0.2740
0.2722
53329.503906
...
32
4.420000e-01
24.549999
15.570000
15.270000
4
0
0.0280
-10.257948
34.410809
8
05D4hn
0.8420
0.0010
0.000005
2.380000e-07
0.0737
0.0705
1.4388
0.8289
53693.945312
...
18
7.250000e-01
27.200001
18.360001
13.550000
4
0
0.0287
-15.025583
8.297401
9
06D3en
1.0600
0.0010
0.000003
2.380000e-07
-0.1810
0.0577
-1.0871
0.3803
53881.648438
...
35
7.910000e-01
14.420000
8.830000
6.330000
4
0
0.0111
-14.727606
29.938278
10
03D4ag
0.2850
0.0010
0.000071
2.280000e-06
-0.0707
0.0242
0.9014
0.1468
52830.800781
...
25
9.190000e-01
225.470001
141.550003
112.269997
4
0
0.0258
-14.187397
43.266399
11
06D4co
0.4370
0.0010
0.000023
5.440000e-07
-0.0505
0.0229
-0.3482
0.1050
53940.210938
...
45
3.490000e-01
99.959999
99.230003
70.120003
4
0
0.0259
-13.716855
41.878567
12
05D3dd
0.4800
0.0010
0.000015
3.720000e-07
-0.0441
0.0243
-0.2359
0.1284
53455.230469
...
43
6.550000e-01
103.370003
62.849998
57.770000
4
0
0.0094
-9.932400
43.316650
13
04D1ak
0.5260
0.0010
0.000008
3.740000e-07
0.0200
0.0573
-1.8138
0.3298
53010.507812
...
15
7.430000e-01
34.369999
31.290001
5.950000
4
0
0.0256
-13.266509
10.375774
14
06D4dh
0.3030
0.0010
0.000061
1.650000e-06
-0.1547
0.0220
0.5019
0.0804
53956.800781
...
37
2.530000e-01
208.380005
151.919998
138.460007
4
0
0.0262
-13.290909
33.455181
15
03D3bh
0.2486
0.0010
0.000087
5.090000e-06
-0.3774
0.0317
-5.0000
0.0331
52783.242188
...
8
1.230000e-07
90.720001
81.550003
60.770000
4
0
0.0101
5.730796
27.298702
16
05D4cn
0.7630
0.0010
0.000005
1.660000e-07
0.0064
0.0525
1.1467
0.2677
53583.511719
...
49
2.660000e-04
41.200001
25.730000
13.090000
4
0
0.0259
-14.175700
40.168369
17
06D3gh
0.7200
0.0010
0.000006
2.510000e-07
-0.0270
0.0438
0.4086
0.3863
53922.996094
...
19
6.700000e-01
23.760000
18.000000
8.960000
4
0
0.0086
-9.707570
11.808599
18
04D3nr
0.9600
0.0010
0.000003
1.980000e-07
0.0073
0.0529
0.2043
0.5112
53185.746094
...
20
1.130000e-01
17.080000
15.470000
13.600000
4
0
0.0094
-10.417222
21.685776
19
04D4hf
0.9360
0.0010
0.000003
2.060000e-07
0.0485
0.0777
0.7474
0.7232
53236.859375
...
37
8.040000e-01
12.980000
8.000000
7.620000
4
0
0.0270
-14.111708
44.086575
20
04D4ht
0.2170
0.0010
0.000020
6.150000e-07
0.4388
0.0273
0.7342
0.1556
53257.214844
...
23
8.940000e-01
99.290001
94.110001
83.639999
4
0
0.0254
-3.143636
45.236729
21
03D3bl
0.3553
0.0010
0.000016
4.190000e-07
0.2067
0.0306
0.2231
0.2374
52786.898438
...
14
1.590000e-03
70.750000
69.260002
66.919998
4
0
0.0103
-2.566636
27.595621
22
04D1pc
0.7700
0.0010
0.000004
1.170000e-07
0.0971
0.0596
-0.1200
0.3365
53324.890625
...
34
3.410000e-01
21.940001
17.750000
11.300000
4
0
0.0260
-14.418573
36.943096
23
05D3kp
0.8500
0.0010
0.000005
1.640000e-07
-0.1325
0.0454
1.2563
0.2694
53529.671875
...
36
9.640000e-01
37.619999
29.530001
16.480000
4
0
0.0106
-14.805446
30.589401
24
05D4ek
0.5360
0.0010
0.000011
3.230000e-07
0.0598
0.0301
0.2434
0.1877
53635.539062
...
53
3.210000e-01
36.080002
35.369999
17.469999
4
0
0.0276
-14.444232
42.117554
25
06D3cc
0.6830
0.0010
0.000005
3.200000e-07
-0.0145
0.0516
1.0461
0.5486
53760.601562
...
17
9.660000e-01
31.420000
13.070000
7.900000
4
0
0.0080
-13.661357
24.335800
26
06D3gx
0.7600
0.0010
0.000006
2.530000e-07
-0.1211
0.0713
0.6047
0.6245
53934.625000
...
10
4.300000e-02
28.070000
22.799999
6.420000
4
0
0.0090
-13.788119
4.939686
27
06D3dl
0.3570
0.0010
0.000027
2.130000e-06
0.0748
0.0390
0.6058
0.4329
53820.535156
...
24
3.330000e-01
54.540001
35.509998
22.120001
4
0
0.0090
19.832064
46.341022
28
04D2cf
0.3690
0.0010
0.000024
1.190000e-06
-0.0055
0.0367
-0.8226
0.2102
53075.941406
...
19
8.050000e-01
119.129997
75.480003
63.220001
4
0
0.0185
3.291858
44.109177
29
04D1hx
0.5600
0.0010
0.000008
1.990000e-07
0.1109
0.0335
0.3415
0.2021
53260.042969
...
50
1.410000e-01
41.549999
36.110001
18.180000
4
0
0.0272
-15.047103
43.824593
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
66
06D2ag
0.3100
0.0010
0.000034
1.090000e-06
0.1040
0.0250
0.6154
0.1415
53756.011719
...
24
6.690000e-01
160.750000
157.789993
107.820000
4
0
0.0188
-12.632648
34.588253
67
05D2dw
0.4170
0.0010
0.000024
6.960000e-07
-0.0246
0.0258
1.0379
0.1982
53454.300781
...
22
6.260000e-01
92.000000
77.120003
76.040001
4
0
0.0194
-9.794397
34.580269
68
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96 rows × 27 columns
Content source: rbiswas4/basicio
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