Sieve Sizes for Particle Size Distributions¶
[1]:
from fluids.particle_size_distribution import ASTM_E11_sieves, ISO_3310_1_sieves, Sieve
import pandas as pd
pd.options.display.max_rows = 100000
ASTM E11 - 17 - Standard Specification for Woven Wire Test Sieve Cloth and Test Sieves.¶
[2]:
# All units in SI, meters.
dat = {}
for name in Sieve.__slots__:
vals = []
for s in ASTM_E11_sieves.values():
vals.append(getattr(s, name))
dat[name] = vals
pd.DataFrame(dat)
[2]:
designation | old_designation | opening | opening_inch | Y_variation_avg | X_variation_max | max_opening | calibration_samples | compliance_sd | inspection_samples | inspection_sd | calibration_sd | d_wire | d_wire_min | d_wire_max | compliance_samples | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0.02 | No. 635 | 0.000020 | 8.000000e-07 | 0.000002 | 0.000015 | 0.035 | 300.0 | 5.330 | 100.0 | 4.510 | 4.750 | 2.000000e-08 | 2.000000e-08 | 2.000000e-08 | 1000.0 |
1 | 0.025 | No. 500 | 0.000025 | 1.000000e-06 | 0.000003 | 0.000016 | 0.041 | 300.0 | 5.710 | 100.0 | 4.820 | 5.060 | 3.000000e-08 | 2.000000e-08 | 3.000000e-08 | 1000.0 |
2 | 0.032 | No. 450 | 0.000032 | 1.200000e-06 | 0.000003 | 0.000018 | 0.050 | 300.0 | 6.420 | 100.0 | 5.420 | 5.710 | 3.000000e-08 | 2.000000e-08 | 3.000000e-08 | 1000.0 |
3 | 0.038 | No. 400 | 0.000038 | 1.500000e-06 | 0.000003 | 0.000020 | 0.058 | 300.0 | 7.090 | 100.0 | 5.990 | 6.310 | 3.000000e-08 | 2.000000e-08 | 3.000000e-08 | 1000.0 |
4 | 0.045 | No. 325 | 0.000045 | 1.700000e-06 | 0.000003 | 0.000022 | 0.067 | 250.0 | 7.760 | 100.0 | 6.560 | 6.840 | 3.000000e-08 | 3.000000e-08 | 4.000000e-08 | 1000.0 |
5 | 0.053 | No. 270 | 0.000053 | 2.100000e-06 | 0.000003 | 0.000024 | 0.077 | 250.0 | 8.440 | 100.0 | 7.130 | 7.440 | 4.000000e-08 | 3.000000e-08 | 4.000000e-08 | 1000.0 |
6 | 0.063 | No. 230 | 0.000063 | 2.500000e-06 | 0.000004 | 0.000026 | 0.089 | 250.0 | 9.180 | 100.0 | 7.760 | 8.090 | 5.000000e-08 | 4.000000e-08 | 5.000000e-08 | 1000.0 |
7 | 0.075 | No. 200 | 0.000075 | 2.900000e-06 | 0.000004 | 0.000029 | 0.104 | 250.0 | 10.230 | 100.0 | 8.640 | 9.020 | 5.000000e-08 | 4.000000e-08 | 6.000000e-08 | 1000.0 |
8 | 0.09 | No. 170 | 0.000090 | 3.500000e-06 | 0.000005 | 0.000032 | 0.122 | 200.0 | 11.270 | 100.0 | 9.530 | 9.800 | 6.000000e-08 | 5.000000e-08 | 7.000000e-08 | 1000.0 |
9 | 0.106 | No. 140 | 0.000106 | 4.100000e-06 | 0.000005 | 0.000035 | 0.141 | 200.0 | 12.390 | 100.0 | 10.470 | 10.770 | 7.000000e-08 | 6.000000e-08 | 8.000000e-08 | 1000.0 |
10 | 0.125 | No. 120 | 0.000125 | 4.900000e-06 | 0.000006 | 0.000038 | 0.163 | 200.0 | 13.510 | 100.0 | 11.410 | 11.740 | 9.000000e-08 | 8.000000e-08 | 1.000000e-07 | 1000.0 |
11 | 0.15 | No. 100 | 0.000150 | 5.900000e-06 | 0.000007 | 0.000043 | 0.193 | 200.0 | 15.300 | 100.0 | 12.930 | 13.300 | 1.000000e-07 | 9.000000e-08 | 1.200000e-07 | 1000.0 |
12 | 0.18 | No. 80 | 0.000180 | 7.000000e-06 | 0.000008 | 0.000047 | 0.227 | 200.0 | 16.850 | 100.0 | 14.240 | 14.650 | 1.200000e-07 | 1.100000e-07 | 1.500000e-07 | 1000.0 |
13 | 0.212 | No. 70 | 0.000212 | 8.300000e-06 | 0.000009 | 0.000052 | 0.264 | 160.0 | 18.790 | 80.0 | 15.590 | 16.080 | 1.400000e-07 | 1.200000e-07 | 1.700000e-07 | 800.0 |
14 | 0.25 | No. 60 | 0.000250 | 9.800000e-06 | 0.000010 | 0.000058 | 0.308 | 160.0 | 21.020 | 80.0 | 17.440 | 17.990 | 1.600000e-07 | 1.300000e-07 | 1.900000e-07 | 800.0 |
15 | 0.3 | No. 50 | 0.000300 | 1.170000e-05 | 0.000012 | 0.000065 | 0.365 | 160.0 | 23.700 | 80.0 | 19.660 | 20.290 | 2.000000e-07 | 1.700000e-07 | 2.300000e-07 | 800.0 |
16 | 0.355 | No. 45 | 0.000355 | 1.390000e-05 | 0.000013 | 0.000072 | 0.427 | 160.0 | 26.450 | 80.0 | 21.950 | 22.640 | 2.200000e-07 | 1.900000e-07 | 2.600000e-07 | 800.0 |
17 | 0.425 | No. 40 | 0.000425 | 1.650000e-05 | 0.000016 | 0.000081 | 0.506 | 120.0 | 29.950 | 60.0 | 24.200 | 25.080 | 2.800000e-07 | 2.400000e-07 | 3.200000e-07 | 600.0 |
18 | 0.5 | No. 35 | 0.000500 | 1.970000e-05 | 0.000018 | 0.000089 | 0.589 | 120.0 | 33.230 | 60.0 | 26.850 | 27.820 | 3.200000e-07 | 2.700000e-07 | 3.600000e-07 | 600.0 |
19 | 0.6 | No. 30 | 0.000600 | 2.340000e-05 | 0.000021 | 0.000101 | 0.701 | 100.0 | 38.000 | 50.0 | 30.140 | 31.320 | 4.000000e-07 | 3.400000e-07 | 4.600000e-07 | 500.0 |
20 | 0.71 | No. 25 | 0.000710 | 2.780000e-05 | 0.000025 | 0.000112 | 0.822 | 100.0 | 42.630 | 50.0 | 33.820 | 35.140 | 4.500000e-07 | 3.800000e-07 | 5.200000e-07 | 500.0 |
21 | 0.85 | No. 20 | 0.000850 | 3.310000e-05 | 0.000029 | 0.000127 | 0.977 | 80.0 | 48.760 | 40.0 | 37.730 | 39.360 | 5.000000e-07 | 4.300000e-07 | 5.800000e-07 | 400.0 |
22 | 1 | No. 18 | 0.001000 | 3.940000e-05 | 0.000034 | 0.000140 | 1.140 | 80.0 | 0.055 | 40.0 | 0.042 | 0.044 | 5.600000e-04 | 4.800000e-04 | 6.400000e-04 | 400.0 |
23 | 1.18 | No. 16 | 0.001180 | 4.690000e-05 | 0.000040 | 0.000160 | 1.340 | 80.0 | 0.063 | 40.0 | 0.049 | 0.051 | 6.300000e-04 | 5.400000e-04 | 7.200000e-04 | 400.0 |
24 | 1.4 | No. 14 | 0.001400 | 5.550000e-05 | 0.000046 | 0.000180 | 1.580 | 80.0 | 0.071 | 40.0 | 0.055 | 0.057 | 7.100000e-04 | 6.000000e-04 | 8.200000e-04 | 400.0 |
25 | 1.7 | No. 12 | 0.001700 | 6.610000e-05 | 0.000056 | 0.000200 | 1.900 | 50.0 | 0.081 | 25.0 | 0.059 | 0.062 | 8.000000e-04 | 6.800000e-04 | 9.200000e-04 | 250.0 |
26 | 100 | 4 in. | 0.100000 | 4.000000e-03 | 0.002940 | 0.003820 | 103.820 | NaN | NaN | NaN | NaN | NaN | 6.300000e-03 | 5.400000e-03 | 7.200000e-03 | 20.0 |
27 | 106 | 4.24 in. | 0.106000 | 4.240000e-03 | 0.003120 | 0.003990 | 109.990 | NaN | NaN | NaN | NaN | NaN | 6.300000e-03 | 5.400000e-03 | 7.200000e-03 | 20.0 |
28 | 11.2 | 7/16 in. | 0.011200 | 4.380000e-04 | 0.000346 | 0.000770 | 11.970 | 30.0 | 0.382 | 15.0 | 0.256 | 0.274 | 2.500000e-03 | 2.100000e-03 | 2.900000e-03 | 150.0 |
29 | 12.5 | 1/2 in. | 0.012500 | 5.000000e-04 | 0.000385 | 0.000830 | 13.330 | 30.0 | 0.421 | 15.0 | 0.283 | 0.302 | 2.500000e-03 | 2.100000e-03 | 2.900000e-03 | 150.0 |
30 | 125 | 5 in. | 0.125000 | 5.000000e-03 | 0.003660 | 0.004510 | 129.510 | NaN | NaN | NaN | NaN | NaN | 8.000000e-03 | 6.800000e-03 | 9.200000e-03 | 20.0 |
31 | 13.2 | 0.530 in. | 0.013200 | 5.300000e-04 | 0.000406 | 0.000860 | 14.060 | 30.0 | 0.441 | 15.0 | 0.296 | 0.316 | 2.800000e-03 | 2.400000e-03 | 3.200000e-03 | 150.0 |
32 | 16 | 5/8 in. | 0.016000 | 6.250000e-04 | 0.000490 | 0.000990 | 16.990 | 30.0 | 0.527 | 15.0 | 0.354 | 0.378 | 3.150000e-03 | 2.700000e-03 | 3.600000e-03 | 150.0 |
33 | 19 | 3/4 in. | 0.019000 | 7.500000e-04 | 0.000579 | 0.001130 | 20.130 | 30.0 | 0.622 | 15.0 | 0.418 | 0.446 | 3.150000e-03 | 2.700000e-03 | 3.500000e-03 | 150.0 |
34 | 2 | No. 10 | 0.002000 | 7.870000e-05 | 0.000065 | 0.000230 | 2.230 | 50.0 | 0.094 | 25.0 | 0.068 | 0.072 | 9.000000e-04 | 7.700000e-04 | 1.040000e-03 | 250.0 |
35 | 2.36 | No. 8 | 0.002360 | 9.370000e-05 | 0.000076 | 0.000250 | 2.610 | 40.0 | 0.104 | 20.0 | 0.073 | 0.077 | 1.000000e-03 | 8.500000e-04 | 1.150000e-03 | 200.0 |
36 | 2.8 | No. 7 | 0.002800 | 1.100000e-04 | 0.000090 | 0.000290 | 3.090 | 40.0 | 0.121 | 20.0 | 0.085 | 0.090 | 1.120000e-03 | 9.500000e-04 | 1.300000e-03 | 200.0 |
37 | 22.4 | 7/8 in. | 0.022400 | 8.750000e-04 | 0.000681 | 0.001270 | 23.670 | NaN | 0.734 | 15.0 | 0.493 | NaN | 3.550000e-03 | 3.000000e-03 | 4.100000e-03 | 150.0 |
38 | 25 | 1.00 in. | 0.025000 | 1.000000e-03 | 0.000758 | 0.001380 | 26.380 | NaN | 0.823 | 15.0 | 0.553 | NaN | 3.550000e-03 | 3.000000e-03 | 4.100000e-03 | 20.0 |
39 | 26.5 | 1.06 in. | 0.026500 | 1.060000e-03 | 0.000802 | 0.001440 | 27.940 | NaN | 0.869 | 15.0 | 0.584 | NaN | 3.550000e-03 | 3.000000e-03 | 4.100000e-03 | 20.0 |
40 | 3.35 | No. 6 | 0.003350 | 1.320000e-04 | 0.000107 | 0.000320 | 3.670 | 40.0 | 0.138 | 20.0 | 0.097 | 0.103 | 1.250000e-03 | 1.060000e-03 | 1.500000e-03 | 200.0 |
41 | 31.5 | 1 1/4 in. | 0.031500 | 1.250000e-03 | 0.000950 | 0.001630 | 33.130 | NaN | 1.066 | NaN | NaN | NaN | 4.000000e-03 | 3.400000e-03 | 4.600000e-03 | 20.0 |
42 | 37.5 | 1 1/2 in. | 0.037500 | 1.500000e-03 | 0.001130 | 0.001850 | 39.350 | NaN | 1.374 | NaN | NaN | NaN | 4.500000e-03 | 3.800000e-03 | 5.200000e-03 | 20.0 |
43 | 4 | No. 5 | 0.004000 | 1.570000e-04 | 0.000127 | 0.000370 | 4.370 | 30.0 | 0.161 | 15.0 | 0.108 | 0.115 | 1.400000e-03 | 1.200000e-03 | 1.700000e-03 | 150.0 |
44 | 4.75 | No. 4 | 0.004750 | 1.870000e-04 | 0.000150 | 0.000410 | 5.160 | 30.0 | 0.182 | 15.0 | 0.123 | 0.131 | 1.600000e-03 | 1.300000e-03 | 1.900000e-03 | 150.0 |
45 | 45 | 1 3/4 in. | 0.045000 | 1.750000e-03 | 0.001350 | 0.002120 | 47.120 | NaN | NaN | NaN | NaN | NaN | 4.500000e-03 | 3.800000e-03 | 5.200000e-03 | 20.0 |
46 | 5.6 | No. 3 1/2 | 0.005600 | 2.230000e-04 | 0.000176 | 0.000470 | 6.070 | 30.0 | 0.211 | 15.0 | 0.142 | 0.151 | 1.600000e-03 | 1.300000e-03 | 1.900000e-03 | 150.0 |
47 | 50 | 2 in. | 0.050000 | 2.000000e-03 | 0.001490 | 0.002290 | 52.290 | NaN | NaN | NaN | NaN | NaN | 5.000000e-03 | 4.300000e-03 | 5.800000e-03 | 20.0 |
48 | 53 | 2.12 in. | 0.053000 | 2.120000e-03 | 0.001580 | 0.002390 | 55.390 | NaN | NaN | NaN | NaN | NaN | 5.000000e-03 | 4.300000e-03 | 5.800000e-03 | 20.0 |
49 | 6.3 | 1/4 in. | 0.006300 | 2.500000e-04 | 0.000197 | 0.000510 | 6.810 | 30.0 | 0.233 | 15.0 | 0.157 | 0.167 | 1.800000e-03 | 1.500000e-03 | 2.100000e-03 | 150.0 |
50 | 6.7 | 0.265 in. | 0.006700 | 2.650000e-04 | 0.000210 | 0.000530 | 7.230 | 30.0 | 0.245 | 15.0 | 0.164 | 0.175 | 1.800000e-03 | 1.500000e-03 | 2.100000e-03 | 150.0 |
51 | 63 | 2 1/2 in. | 0.063000 | 2.500000e-03 | 0.001870 | 0.002710 | 65.710 | NaN | NaN | NaN | NaN | NaN | 5.600000e-03 | 4.800000e-03 | 6.400000e-03 | 20.0 |
52 | 75 | 3 in. | 0.075000 | 3.000000e-03 | 0.002220 | 0.003090 | 78.090 | NaN | NaN | NaN | NaN | NaN | 6.300000e-03 | 5.400000e-03 | 7.200000e-03 | 20.0 |
53 | 8 | 5/16 in. | 0.008000 | 3.120000e-04 | 0.000249 | 0.000600 | 8.600 | 30.0 | 0.284 | 15.0 | 0.191 | 0.204 | 2.000000e-03 | 1.700000e-03 | 2.300000e-03 | 150.0 |
54 | 9.5 | 3/8 in. | 0.009500 | 3.750000e-04 | 0.000295 | 0.000680 | 10.180 | 30.0 | 0.330 | 15.0 | 0.222 | 0.237 | 2.240000e-03 | 1.900000e-03 | 2.600000e-03 | 150.0 |
55 | 90 | 3 1/2 in. | 0.090000 | 3.500000e-03 | 0.002650 | 0.003530 | 93.530 | NaN | NaN | NaN | NaN | NaN | 6.300000e-03 | 5.400000e-03 | 7.200000e-03 | 20.0 |
ISO 3310-1:2016 - Test Sieves – Technical Requirements and Testing – Part 1: Test Sieves of Metal Wire Cloth.¶
[3]:
# All units in SI, meters.
dat = {}
for name in Sieve.__slots__:
vals = []
for s in ISO_3310_1_sieves.values():
vals.append(getattr(s, name))
dat[name] = vals
pd.DataFrame(dat).dropna(how='all', axis=1)
[3]:
designation | opening | Y_variation_avg | X_variation_max | compliance_sd | d_wire | d_wire_min | d_wire_max | |
---|---|---|---|---|---|---|---|---|
0 | 0.02 | 0.000020 | 0.000002 | 0.000013 | 0.000005 | 0.000020 | 0.000023 | 0.000023 |
1 | 0.025 | 0.000025 | 0.000002 | 0.000015 | 0.000005 | 0.000025 | 0.000029 | 0.000029 |
2 | 0.032 | 0.000032 | 0.000002 | 0.000017 | 0.000006 | 0.000028 | 0.000033 | 0.000033 |
3 | 0.036 | 0.000036 | 0.000003 | 0.000018 | 0.000006 | 0.000030 | 0.000035 | 0.000035 |
4 | 0.038 | 0.000038 | 0.000003 | 0.000018 | 0.000006 | 0.000030 | 0.000035 | 0.000035 |
5 | 0.04 | 0.000040 | 0.000003 | 0.000019 | 0.000006 | 0.000032 | 0.000037 | 0.000037 |
6 | 0.045 | 0.000045 | 0.000003 | 0.000020 | 0.000007 | 0.000032 | 0.000037 | 0.000037 |
7 | 0.05 | 0.000050 | 0.000003 | 0.000021 | 0.000007 | 0.000036 | 0.000041 | 0.000041 |
8 | 0.053 | 0.000053 | 0.000003 | 0.000021 | 0.000008 | 0.000036 | 0.000041 | 0.000041 |
9 | 0.056 | 0.000056 | 0.000003 | 0.000022 | 0.000008 | 0.000040 | 0.000046 | 0.000046 |
10 | 0.063 | 0.000063 | 0.000003 | 0.000024 | 0.000008 | 0.000045 | 0.000052 | 0.000052 |
11 | 0.071 | 0.000071 | 0.000004 | 0.000025 | 0.000009 | 0.000050 | 0.000043 | 0.000058 |
12 | 0.075 | 0.000075 | 0.000004 | 0.000026 | 0.000009 | 0.000050 | 0.000043 | 0.000058 |
13 | 0.08 | 0.000080 | 0.000004 | 0.000027 | 0.000009 | 0.000056 | 0.000048 | 0.000064 |
14 | 0.09 | 0.000090 | 0.000004 | 0.000029 | 0.000010 | 0.000063 | 0.000054 | 0.000072 |
15 | 0.1 | 0.000100 | 0.000005 | 0.000030 | 0.000011 | 0.000071 | 0.000060 | 0.000082 |
16 | 0.106 | 0.000106 | 0.000005 | 0.000031 | 0.000011 | 0.000071 | 0.000060 | 0.000082 |
17 | 0.112 | 0.000112 | 0.000005 | 0.000032 | 0.000012 | 0.000080 | 0.000068 | 0.000092 |
18 | 0.125 | 0.000125 | 0.000005 | 0.000034 | 0.000012 | 0.000090 | 0.000077 | 0.000104 |
19 | 0.14 | 0.000140 | 0.000006 | 0.000037 | 0.000013 | 0.000100 | 0.000085 | 0.000115 |
20 | 0.15 | 0.000150 | 0.000006 | 0.000038 | 0.000014 | 0.000100 | 0.000085 | 0.000115 |
21 | 0.16 | 0.000160 | 0.000006 | 0.000040 | 0.000014 | 0.000112 | 0.000095 | 0.000130 |
22 | 0.18 | 0.000180 | 0.000007 | 0.000043 | 0.000015 | 0.000125 | 0.000106 | 0.000150 |
23 | 0.2 | 0.000200 | 0.000007 | 0.000045 | 0.000016 | 0.000140 | 0.000120 | 0.000170 |
24 | 0.212 | 0.000212 | 0.000008 | 0.000047 | 0.000017 | 0.000140 | 0.000120 | 0.000170 |
25 | 0.224 | 0.000224 | 0.000008 | 0.000049 | 0.000017 | 0.000160 | 0.000130 | 0.000190 |
26 | 0.25 | 0.000250 | 0.000009 | 0.000052 | 0.000019 | 0.000160 | 0.000130 | 0.000190 |
27 | 0.28 | 0.000280 | 0.000010 | 0.000056 | 0.000020 | 0.000180 | 0.000150 | 0.000210 |
28 | 0.3 | 0.000300 | 0.000010 | 0.000058 | 0.000021 | 0.000200 | 0.000170 | 0.000230 |
29 | 0.315 | 0.000315 | 0.000011 | 0.000060 | 0.000022 | 0.000200 | 0.000170 | 0.000230 |
30 | 0.355 | 0.000355 | 0.000012 | 0.000065 | 0.000024 | 0.000224 | 0.000190 | 0.000260 |
31 | 0.4 | 0.000400 | 0.000013 | 0.000070 | 0.000026 | 0.000250 | 0.000210 | 0.000290 |
32 | 0.425 | 0.000425 | 0.000014 | 0.000073 | 0.000027 | 0.000280 | 0.000240 | 0.000320 |
33 | 0.45 | 0.000450 | 0.000015 | 0.000075 | 0.000028 | 0.000280 | 0.000240 | 0.000320 |
34 | 0.5 | 0.000500 | 0.000016 | 0.000080 | 0.000030 | 0.000315 | 0.000270 | 0.000360 |
35 | 0.56 | 0.000560 | 0.000018 | 0.000087 | 0.000032 | 0.000355 | 0.000300 | 0.000410 |
36 | 0.6 | 0.000600 | 0.000019 | 0.000091 | 0.000034 | 0.000400 | 0.000340 | 0.000460 |
37 | 0.63 | 0.000630 | 0.000020 | 0.000093 | 0.000035 | 0.000400 | 0.000340 | 0.000460 |
38 | 0.71 | 0.000710 | 0.000022 | 0.000101 | 0.000038 | 0.000450 | 0.000380 | 0.000520 |
39 | 0.8 | 0.000800 | 0.000025 | 0.000109 | 0.000042 | 0.000450 | 0.000380 | 0.000520 |
40 | 0.85 | 0.000850 | 0.000026 | 0.000114 | 0.000044 | 0.000500 | 0.000430 | 0.000580 |
41 | 0.9 | 0.000900 | 0.000028 | 0.000118 | 0.000046 | 0.000500 | 0.000430 | 0.000580 |
42 | 1 | 0.001000 | 0.000030 | 0.000130 | 0.000049 | 0.000560 | 0.000480 | 0.000640 |
43 | 1.12 | 0.001120 | 0.000030 | 0.000140 | 0.000053 | 0.000560 | 0.000480 | 0.000640 |
44 | 1.18 | 0.001180 | 0.000040 | 0.000140 | 0.000056 | 0.000630 | 0.000540 | 0.000720 |
45 | 1.25 | 0.001250 | 0.000040 | 0.000150 | 0.000058 | 0.000630 | 0.000540 | 0.000720 |
46 | 1.4 | 0.001400 | 0.000040 | 0.000160 | 0.000063 | 0.000710 | 0.000600 | 0.000820 |
47 | 1.6 | 0.001600 | 0.000050 | 0.000170 | 0.000070 | 0.000800 | 0.000680 | 0.000920 |
48 | 1.7 | 0.001700 | 0.000050 | 0.000180 | 0.000073 | 0.000800 | 0.000680 | 0.000920 |
49 | 1.8 | 0.001800 | 0.000050 | 0.000190 | 0.000076 | 0.000800 | 0.000680 | 0.000920 |
50 | 10 | 0.010000 | 0.000280 | 0.000640 | 0.000307 | 0.002500 | 0.002100 | 0.002900 |
51 | 100 | 0.100000 | 0.002650 | 0.003440 | NaN | 0.006300 | 0.005400 | 0.007200 |
52 | 106 | 0.106000 | 0.002800 | 0.003590 | NaN | 0.006300 | 0.005400 | 0.007200 |
53 | 11.2 | 0.011200 | 0.000310 | 0.000690 | 0.000339 | 0.002500 | 0.002100 | 0.002900 |
54 | 112 | 0.112000 | 0.002960 | 0.003740 | NaN | 0.008000 | 0.006800 | 0.009200 |
55 | 12.5 | 0.012500 | 0.000350 | 0.000750 | 0.000374 | 0.002500 | 0.002100 | 0.002900 |
56 | 125 | 0.125000 | 0.003300 | 0.004060 | NaN | 0.008000 | 0.006800 | 0.009200 |
57 | 13.2 | 0.013200 | 0.000370 | 0.000780 | 0.000392 | 0.002800 | 0.002400 | 0.003200 |
58 | 14 | 0.014000 | 0.000390 | 0.000810 | 0.000413 | 0.002800 | 0.002400 | 0.003200 |
59 | 16 | 0.016000 | 0.000440 | 0.000890 | 0.000467 | 0.003150 | 0.002700 | 0.003600 |
60 | 18 | 0.018000 | 0.000490 | 0.000970 | 0.000520 | 0.003150 | 0.002700 | 0.003600 |
61 | 19 | 0.019000 | 0.000520 | 0.001010 | 0.000548 | 0.003150 | 0.002700 | 0.003600 |
62 | 2 | 0.002000 | 0.000060 | 0.000200 | 0.000083 | 0.000900 | 0.000770 | 0.001040 |
63 | 2.24 | 0.002240 | 0.000070 | 0.000220 | 0.000090 | 0.000900 | 0.000770 | 0.001040 |
64 | 2.36 | 0.002360 | 0.000070 | 0.000230 | 0.000094 | 0.001000 | 0.000850 | 0.001150 |
65 | 2.5 | 0.002500 | 0.000070 | 0.000240 | 0.000098 | 0.001000 | 0.000850 | 0.001150 |
66 | 2.8 | 0.002800 | 0.000080 | 0.000260 | 0.000108 | 0.001120 | 0.000950 | 0.001300 |
67 | 20 | 0.020000 | 0.000550 | 0.001050 | 0.000575 | 0.003150 | 0.002700 | 0.003600 |
68 | 22.4 | 0.022400 | 0.000610 | 0.001140 | 0.000641 | 0.003550 | 0.003000 | 0.004100 |
69 | 25 | 0.025000 | 0.000680 | 0.001240 | 0.000713 | 0.003550 | 0.003000 | 0.004100 |
70 | 26.5 | 0.026500 | 0.000720 | 0.001290 | 0.000757 | 0.003550 | 0.003000 | 0.004100 |
71 | 28 | 0.028000 | 0.000760 | 0.001350 | 0.000801 | 0.003550 | 0.003000 | 0.004100 |
72 | 3.15 | 0.003150 | 0.000090 | 0.000280 | 0.000118 | 0.001250 | 0.001060 | 0.001500 |
73 | 3.35 | 0.003350 | 0.000100 | 0.000290 | 0.000124 | 0.001250 | 0.001060 | 0.001500 |
74 | 3.55 | 0.003550 | 0.000100 | 0.000300 | 0.000130 | 0.001250 | 0.001060 | 0.001500 |
75 | 31.5 | 0.031500 | 0.000850 | 0.001470 | 0.000905 | 0.004000 | 0.003400 | 0.004600 |
76 | 35.5 | 0.035500 | 0.000960 | 0.001600 | 0.001000 | 0.004000 | 0.003400 | 0.004600 |
77 | 37.5 | 0.037500 | 0.001010 | 0.001670 | 0.001000 | 0.004500 | 0.003800 | 0.005200 |
78 | 4 | 0.004000 | 0.000110 | 0.000330 | 0.000143 | 0.001400 | 0.001200 | 0.001700 |
79 | 4.5 | 0.004500 | 0.000130 | 0.000360 | 0.000157 | 0.001400 | 0.001200 | 0.001700 |
80 | 4.75 | 0.004750 | 0.000140 | 0.000370 | 0.000164 | 0.001600 | 0.001300 | 0.001900 |
81 | 40 | 0.040000 | 0.001080 | 0.001750 | 0.001000 | 0.004500 | 0.003800 | 0.005200 |
82 | 45 | 0.045000 | 0.001210 | 0.001910 | 0.001000 | 0.004500 | 0.003800 | 0.005200 |
83 | 5 | 0.005000 | 0.000140 | 0.000390 | 0.000171 | 0.001600 | 0.001300 | 0.001900 |
84 | 5.6 | 0.005600 | 0.000160 | 0.000420 | 0.000188 | 0.001600 | 0.001300 | 0.001900 |
85 | 50 | 0.050000 | 0.001340 | 0.002060 | NaN | 0.005000 | 0.004300 | 0.005800 |
86 | 53 | 0.053000 | 0.001420 | 0.002150 | NaN | 0.005000 | 0.004300 | 0.005800 |
87 | 56 | 0.056000 | 0.001500 | 0.002240 | NaN | 0.005000 | 0.004300 | 0.005800 |
88 | 6.3 | 0.006300 | 0.000180 | 0.000460 | 0.000207 | 0.001800 | 0.001500 | 0.002100 |
89 | 6.7 | 0.006700 | 0.000190 | 0.000480 | 0.000218 | 0.001800 | 0.001500 | 0.002100 |
90 | 63 | 0.063000 | 0.001690 | 0.002440 | NaN | 0.005600 | 0.004800 | 0.006400 |
91 | 7.1 | 0.007100 | 0.000200 | 0.000500 | 0.000229 | 0.001800 | 0.001500 | 0.002100 |
92 | 71 | 0.071000 | 0.001890 | 0.002670 | NaN | 0.005600 | 0.004800 | 0.006400 |
93 | 75 | 0.075000 | 0.002000 | 0.002780 | NaN | 0.006300 | 0.005400 | 0.007200 |
94 | 8 | 0.008000 | 0.000220 | 0.000540 | 0.000254 | 0.002000 | 0.001700 | 0.002300 |
95 | 80 | 0.080000 | 0.002130 | 0.002910 | NaN | 0.006300 | 0.005400 | 0.007200 |
96 | 9 | 0.009000 | 0.000250 | 0.000590 | 0.000281 | 0.002240 | 0.001900 | 0.002600 |
97 | 9.5 | 0.009500 | 0.000270 | 0.000610 | 0.000294 | 0.002240 | 0.001900 | 0.002600 |
98 | 90 | 0.090000 | 0.002390 | 0.003180 | NaN | 0.006300 | 0.005400 | 0.007200 |