给定一个具有x、y和f_xy三列的数据集,我如何制定关于x、y与f_xy之间关系的假设?
数据可以通过以下python代码进行复制:
将熊猫作为pd导入
数据
{'x':{0:0.3745401188473625,
1: 0.7319939418114051,
2: 0.1560186404424365,
3: 0.0580836121681994,
4: 0.6011150117432088,
5: 0.0205844942958024,
6: 0.8324426408004217,
7: 0.1818249672071006,
8: 0.3042422429595377,
9: 0.4319450186421157,
10: 0.6118528947223795,
11: 0.2921446485352181,
12: 0.4560699842170359,
13: 0.1996737821583597,
14: 0.5924145688620425,
15: 0.6075448519014384,
16: 0.0650515929852795,
17: 0.9656320330745594,
18: 0.3046137691733707,
19: 0.6842330265121569,
20: 0.1220382348447788,
21: 0.0343885211152183,
22: 0.2587799816000169,
23: 0.3117110760894109,
24: 0.5467102793432796,
25: 0.9695846277645586,
26: 0.9394989415641892,
27: 0.5978999788110851,
28: 0.0884925020519195,
29: 0.045227288910538,
30: 0.388677289689482,
31: 0.8287375091519293,
32: 0.2809345096873807,
33: 0.1409242249747626,
34: 0.0745506436797708,
35: 0.7722447692966574,
36: 0.0055221171236023,
37: 0.7068573438476171,
38: 0.7712703466859457,
39: 0.3584657285442726,
40: 0.8631034258755935,
41: 0.3308980248526492,
42: 0.3109823217156622,
43: 0.7296061783380641,
44: 0.8872127425763265,
45: 0.1195942459383017,
46: 0.7607850486168974,
47: 0.770967179954561,
48: 0.5227328293819941,
49: 0.0254191267440951},
“y”:{0:0.9507143064099162,
1: 0.5986584841970366,
2: 0.1559945203362026,
3: 0.8661761457749352,
4: 0.7080725777960455,
5: 0.9699098521619944,
6: 0.2123391106782761,
7: 0.1834045098534338,
8: 0.5247564316322378,
9: 0.2912291401980419,
10: 0.1394938606520418,
11: 0.3663618432936917,
12: 0.7851759613930136,
13: 0.5142344384136116,
14: 0.0464504127199977,
15: 0.1705241236872915,
16: 0.9488855372533332,
17: 0.8083973481164611,
18: 0.0976721140063838,
19: 0.4401524937396013,
20: 0.4951769101112702,
21: 0.909320402078782,
22: 0.662522284353982,
23: 0.5200680211778108,
24: 0.184854455525527,
25: 0.7751328233611146,
26: 0.8948273504276488,
27: 0.9218742350231168,
28: 0.1959828624191452,
29: 0.3253303307632643,
30: 0.2713490317738959,
31: 0.3567533266935893,
32: 0.5426960831582485,
33: 0.8021969807540397,
34: 0.9868869366005172,
35: 0.1987156815341724,
36: 0.8154614284548342,
37: 0.7290071680409873,
38: 0.0740446517340903,
39: 0.1158690595251297,
40: 0.6232981268275579,
41: 0.0635583502860236,
42: 0.325183322026747,
43: 0.6375574713552131,
44: 0.4722149251619493,
45: 0.713244787222995,
46: 0.5612771975694962,
47: 0.4937955963643907,
48: 0.4275410183585496,
49: 0.1078914269933044},
‘f_xy’:{0:0.157130801863798,
1: 0.1713440485863025,
2: 3.129805110672629,
3: 0.204050792591901,
4: 0.1696344532792451,
5: 0.3507700760080584,
6: 0.6976759541933626,
7: 2.6420140332120847,
8: 0.6010195813501505,
9: 1.0230332050209543,
10: 1.2445986467211745,
11: 1.196766856155742,
12: 0.1560149760139054,
13: 0.9482903687042544,
14: 1.6336636832821407,
15: 1.1513253320985553,
16: 0.2340182514559566,
17: 0.0273325941782971,
18: 2.632976880968226,
19: 0.2266532986907281,
20: 1.16935854022532,
21: 0.3966214152543048,
22: 0.4876505603989647,
23: 0.656928500996059,
24: 1.0169235000222618,
25: 0.0241795100124299,
26: 0.014129531411363,
27: 0.017154888508862,
28: 3.1910192671449296,
29: 2.3823461725425723,
30: 1.4519917624809175,
31: 0.3668196629680049,
32: 0.7050384080679081,
33: 0.4011237323170427,
34: 0.0716906504662595,
35: 0.6570333572025112,
36: 0.5406866248448107,
37: 0.3868260229189749,
38: 0.9660682048266296,
39: 2.257494106637491,
40: 0.1340975089516994,
41: 2.6887050797417227,
42: 1.385803460277527,
43: 0.2538626894067123,
44: 0.2901622850453029,
45: 0.479476802610729,
46: 0.3525629145779723,
47: 0.1171668916298969,
48: 0.6217526074701243,
49: 5.13429928758166}}
df=pd.DataFrame(数据)
