大Pandas的同位素当量

Question

我一直在绞尽脑汁试图将一个解决方案复制到熊猫的sql练习中。 本练习包含使用NTILE函数创建1个百分位箱，以计算某些指标

源数据集如下所示，我要除以的百分位数是度量值列：

source df

这就是我想要得到的（首先创建“Ntile”等价物，然后按它分组，用min max和count标记）

destination df

尝试使用qcut，但由于值相似而遇到错误

尝试的代码：

cuts = 100
weightdf = healthdf[healthdf["measure"] == "weight"].copy()
weightdf["Ntile"] = pd.qcut(weightdf["measure_value"].sort_values(), cuts , labels = range(1, 
cuts + 1))

这创建了一个“Bin edges must unique”错误，更改duplicates参数无效。 希望有人能帮忙，我相信有办法解决这个问题。 谢谢

根据david kaftan的请求编辑目标列输出

{0: 46.03959,
 7: 129.060012817,
 84: 114.758776,
 97: 39.916096,
 132: 114.8494944,
 133: 69.39963261,
 139: 73.93555631,
 143: 73.93555631,
 148: 75.069537235,
 149: 68.0388,
 177: 74.389088,
 181: 34.926582,
 188: 115.1670088,
 189: 75.29633342,
 202: 115.9381152,
 212: 34.0194,
 214: 89.819007874,
 216: 91.295005798,
 218: 65.317248,
 220: 80.28584949,
 222: 123.1,
 223: 123.6,
 224: 123.0,
 225: 122.7,
 229: 122.7,
 230: 121.0,
 231: 121.7,
 243: 64.9543744,
 244: 65.0450928,
 257: 38.55532,
 261: 64.6822192,
 265: 79.151868565,
 267: 79.151868565,
 271: 93.0,
 272: 91.4,
 279: 63.50288,
 282: 128.820128,
 301: 36.28736,
 304: 63.049288,
 346: 65.77084,
 369: 119.8390064,
 388: 64.863656,
 396: 78.698276195,
 400: 79.151868565,
 401: 79.151868565,
 415: 78.698276195,
 416: 78.698276195,
 419: 78.92507238,
 420: 78.47148001,
 424: 78.698276195,
 463: 63.50288,
 478: 88.7225952,
 491: 116.6638624,
 499: 119.9,
 501: 115.0309312,
 505: 102.96547699,
 512: 65.1358112,
 518: 78.698276195,
 519: 78.698276195,
 520: 78.698280334,
 532: 70.6696336,
 534: 69.39963261,
 540: 75.8,
 558: 63.50288,
 574: 94.0,
 590: 79.151868565,
 610: 94.5,
 614: 63.50288,
 631: 57.6,
 659: 63.50288,
 674: 38.101727,
 676: 108.86208,
 717: 70.0,
 756: 125.917145,
 780: 118.6596672,
 865: 79.83225712,
 872: 80.73944186,
 925: 42.63765,
 946: 68.12952,
 1007: 68.0388,
 1066: 74.389088,
 1067: 74.389088,
 1068: 74.389088,
 1069: 74.389088,
 1070: 74.389088,
 1131: 69.5,
 1164: 92.532768,
 1168: 78.698212,
 1172: 64.410064,
 1255: 79.832192,
 1267: 65.77084,
 1271: 65.317248,
 1272: 65.77084,
 1273: 65.77084,
 1282: 65.77084,
 1291: 65.317248,
 1300: 66.224432,
 1314: 121.750007629,
 1315: 119.1,
 1318: 122.900009155,
 1385: 69.5,
 1387: 110.5,
 1496: 40.36969,
 1536: 119.1,
 1541: 122.750007629,
 1543: 122.850006104,
 1642: 91.1,
 1643: 90.4,
 1671: 57.6,
 1699: 74.615884,
 1700: 75.069476,
 1779: 66.678024,
 1784: 52.7527496,
 1789: 105.46014,
 1790: 68.9913432,
 1791: 129.071,
 1792: 128.935012817,
 1793: 68.49244787,
 1794: 68.49244787,
 1799: 65.77084,
 1852: 68.8099064,
 1905: 59.42055,
 1981: 64.863656,
 1995: 92.079176,
 1998: 74.0262144,
 1999: 73.3458264,
 2000: 73.481904,
 2018: 31.3885664,
 2019: 31.0256928,
 2022: 65.317248,
 2027: 136.036010742,
 2030: 65.77084,
 2040: 84.368112,
 2108: 42.184055,
 2139: 38.1,
 2287: 124.100006104,
 2293: 123.350006104,
 2297: 119.1,
 2298: 119.1,
 2341: 119.1,
 2356: 97.965065785,
 2358: 98.127905446,
 2438: 85.27536556,
 2494: 69.12742,
 2496: 68.40167,
 2497: 67.67593,
 2540: 96.61517481,
 2542: 96.433737862,
 2546: 96.705893284,
 2599: 173.725736,
 2607: 75.0,
 2654: 80.0,
 2696: 53.0,
 2700: 69.2181392,
 2703: 68.5831104,
 2873: 70.30676,
 2879: 73.481904,
 2881: 31.3432072,
 2882: 65.77084,
 2886: 66.224432,
 2892: 65.77084,
 2914: 38.101728,
 2930: 134.263232,
 2947: 72.0,
 2951: 99.79024,
 2981: 70.0,
 2986: 109.769264,
 2987: 29.029888,
 2994: 15.422128,
 2995: 27.21552,
 3005: 29.48348,
 3006: 58.96696,
 3010: 32.658623,
 3032: 101.198958525,
 3037: 136.531192,
 3039: 32.205032,
 3050: 25.854744,
 3064: 85.0,
 3065: 84.0,
 3069: 96.070863966,
 3071: 96.433737862,
 3072: 95.889427018,
 3076: 95.70799007,
 3079: 97.159485654,
 3087: 100.243832,
 3088: 82.100152,
 3093: 81.64656,
 3097: 102.798948211,
 3107: 20.865232,
 3109: 93.439952,
 3110: 78.4,
 3111: 102.421074,
 3149: 128.504013062,
 3150: 129.27382,
 3151: 128.50272,
 3152: 130.40192,
 3153: 130.402008057,
 3154: 129.288009644,
 3164: 102.398950789,
 3172: 97.0,
 3179: 109.4063904,
 3185: 83.91452,
 3214: 68.492392,
 3216: 108.0909736,
 3221: 66.224432,
 3226: 100.243832,
 3257: 42.184055,
 3286: 75.6137864,
 3310: 45.812794,
 3313: 44.452015,
 3319: 40.82328,
 3321: 97.0,
 3326: 97.25,
 3330: 41.27687,
 3332: 42.63765,
 3376: 44.90561,
 3397: 68.49244787,
 3398: 68.49244787,
 3406: 68.49244787,
 3408: 68.49244787,
 3409: 68.49244787,
 3411: 68.49244787,
 3413: 68.49244787,
 3415: 122.4,
 3479: 112.490816,
 3515: 34.926582,
 3527: 76.430314345,
 3539: 119.0,
 3541: 118.0,
 3547: 76.20351816,
 3556: 64.2286272,
 3573: 68.49244787,
 3579: 130.38014,
 3580: 131.43384,
 3581: 129.844,
 3586: 128.302001953,
 3588: 131.434005737,
 3589: 130.542007446,
 3591: 130.380004883,
 3594: 129.762008667,
 3595: 130.54207,
 3597: 129.86485,
 3598: 130.08621,
 3599: 130.086013794,
 3600: 130.539001465,
 3601: 129.865005493,
 3604: 130.5389,
 3605: 131.562011719,
 3606: 131.42204,
 3607: 133.11394,
 3608: 133.114013672,
 3613: 130.89587,
 3614: 131.154006958,
 3616: 134.708007812,
 3617: 134.350006104,
 3618: 134.35,
 3622: 76.430314345,
 3624: 64.863656,
 3625: 76.883906715,
 3636: 65.0450928,
 3637: 76.883906715,
 3638: 76.883906715,
 3648: 78.017824,
 3658: 94.982239509,
 3670: 133.53804,
 3672: 67.58526313,
 3673: 67.58526313,
 3676: 67.58526313,
 3678: 133.76485,
 3681: 87.3,
 3685: 132.736,
 3686: 133.222000122,
 3687: 132.73600769,
 3690: 132.866,
 3691: 131.011,
 3692: 132.1251,
 3693: 132.78418,
 3694: 131.93187,
 3695: 132.125,
 3696: 131.998001099,
 3697: 131.523,
 3698: 131.992,
 3706: 64.1379088,
 3723: 122.197685,
 3768: 64.9543744,
 3770: 67.58526313,
 3786: 62.142104,
 3788: 62.595696,
 3792: 62.142104,
 3794: 62.595696,
 3798: 62.142104,
 3801: 62.142104,
 3802: 38.55532,
 3809: 96.524456336,
 3810: 96.343016619,
 3811: 96.343016619,
 3812: 96.343019388,
 3813: 96.343016619,
 3838: 64.5915008,
 3846: 98.610978469,
 3848: 118.387512,
 3858: 65.1358112,
 3859: 64.863656,
 3860: 65.0450928,
 3861: 65.0450928,
 3862: 64.6822192,
 3868: 67.58526313,
 3875: 98.610978469,
 3876: 98.610978469,
 3877: 124.5,
 3878: 123.4,
 3881: 64.863656,
 3889: 96.52445772,
 3891: 79.151804,
 3915: 122.6,
 3916: 122.6,
 3922: 31.297848,
 3923: 31.3885664,
 3924: 31.3432072,
 3926: 65.0450928,
 3935: 79.151868565,
 3936: 79.151868565,
 3939: 56.3,
 3952: 62.595696,
 3957: 62.142104,
 3962: 61.688512,
 3965: 63.049288,
 3966: 62.595696,
 3968: 62.595696,
 3972: 61.688512,
 3973: 62.142104,
 3977: 64.5007824,
 3978: 64.5915008,
 3980: 64.863656,
 3990: 38.55532,
 4004: 121.9,
 4056: 64.863656,
 4106: 35.380177,
 4113: 38.55532,
 4115: 92.98636,
 4119: 62.142104,
 4120: 63.049288,
 4121: 123.2863056,
 4138: 64.6822192,
 4141: 64.9543744,
 4179: 56.2,
 4182: 95.85,
 4888: 34.926582,
 4891: 131.995272,
 4897: 74.84268,
 4899: 36.74095,
 4901: 37.194546,
 4915: 37.194546,
 4919: 99.427447504,
 4959: 64.5915008,
 4960: 65.0450928,
 4966: 65.0450928,
 4967: 80.28584949,
 4971: 65.317248,
 4973: 64.6822192,
 4975: 121.4719376,
 4990: 54.099960447,
 4992: 35.833767,
 4995: 36.74095,
 4997: 34.0194,
 4998: 62.595696,
 5006: 65.317248,
 5008: 87.6340445,
 5009: 87.724761589,
 5060: 75.1601944,
 5083: 74.38914868,
 5102: 114.985572,
 5157: 69.39963261,
 5158: 74.162292,
 5160: 75.29633342,
 5189: 115.439164,
 5199: 73.935496,
 5209: 67.222389234,
 5229: 47.62716,
 5234: 69.39963261,
 5427: 66.5,
 5479: 62.595696,
 5497: 98.157388868,
 5506: 80.28584949,
 5508: 65.1358112,
 5515: 80.28584949,
 5533: 64.863656,
 5548: 78.698212,
 5551: 78.698276195,
 5572: 65.317248,
 5606: 57.6,
 5607: 65.317248,
 5636: 63.956472,
 5641: 65.317248,
 5642: 65.77084,
 5685: 85.0,
 5712: 128.739013672,
 5714: 130.042999268,
 5730: 73.481904,
 5757: 64.6822192,
 5760: 87.089664,
 5792: 64.6822192,
 5796: 89.6297792,
 5797: 32.4771872,
 5798: 64.410064,
 5804: 125.463554,
 5816: 87.0,
 5824: 65.1358112,
 5865: 84.6,
 5874: 61.6,
 5907: 75.5,
 5930: 39.00891,
 5936: 33.112216,
 5939: 63.50288,
 5943: 64.410064,
 5946: 64.410064,
 5951: 63.049288,
 5971: 88.722670341,
 6019: 130.430999756,
 6029: 89.176262711,
 6030: 89.176262711,
 6031: 90.3555264,
 6032: 90.35559872,
 6033: 89.176262711,
 6035: 89.176262711,
 6037: 38.101727,
 6054: 69.8,
 6055: 68.7,
 6062: 69.39963261,
 6074: 67.222389234,
 6137: 65.317248,
 6139: 69.4,
 6141: 89.1761872,
 6164: 69.5,
 6205: 97.29549,
 6225: 88.994822994,
 6269: 103.237632751,
 6286: 103.963378906,
 6301: 117.5710464,
 6376: 79.832260132,
 6377: 79.83225712,
 6378: 79.83225712,
 6380: 79.83225712,
 6381: 79.832192,
 6383: 79.83225712,
 6386: 86.4,
 6392: 79.83225712,
 6395: 79.832192,
 6411: 79.83225712,
 6413: 79.83225712,
 6416: 80.059053305,
 6418: 80.059053305,
 6421: 80.059053305,
 6422: 80.059053305,
 6433: 79.605460935,
 6437: 79.83225712,
 6443: 79.605460935,
 6444: 79.151868565,
 6445: 79.151868565,
 6446: 79.151868565,
 6448: 80.73944186,
 6472: 41.730465,
 6519: 74.389088,
 6520: 73.481904,
 6561: 86.6,
 6648: 65.317248,
 6652: 65.317248,
 6653: 65.77084,
 6682: 103.056190491,
 6699: 84.0,
 6740: 112.0,
 6743: 110.500087415,
 6798: 79.151868565,
 6801: 120.4740352,
 6805: 40.36969,
 6808: 134.889007568,
 6817: 79.605396,
 6838: 75.3,
 6845: 53.98,
 6911: 65.77084,
 6958: 38.55532,
 6980: 73.481904,
 6983: 99.79024,
 7021: 80.013691299,
 7024: 52.163082,
 7027: 48.534344,
 7383: 8.0,
 7411: 39.916096,
 7477: 170.5506,
 7489: 37.648136,
 7510: 116.119552,
 7517: 65.317248,
 7522: 81.0,
 7525: 65.77084,
 7528: 65.997636,
 7535: 65.77084,
 7537: 65.317248,
 7573: 123.450004578,
 7578: 124.850006104,
 7579: 122.250007629,
 7581: 121.350006104,
 7582: 119.1,
 7583: 119.1,
 7758: 77.11064,
 7759: 77.11064,
 7765: 39.00891,
 7787: 80.013691299,
 7788: 80.013691299,
 7793: 31.75144,
 7796: 63.50288,
 7801: 105.8230136,
 7806: 108.0,
 7808: 52.163082,
 7818: 52.16308,
 7822: 70.0,
 7824: 93.893544,
 7836: 98.338825816,
 7837: 97.703796498,
 7838: 76.657048,
 7847: 119.9297248,
 7850: 94.0,
 7852: 96.705893284,
 7860: 102.6,
 7863: 70.0,
 7866: 66.0,
 7871: 37.194546,
 7873: 62.142104,
 7874: 77.9,
 7875: 86.2,
 7876: 86.2,
 7878: 86.3,
 7885: 29.48348,
 7886: 99.79024,
 7898: 117.026736,
 7912: 84.0,
 7916: 99.79024,
 7918: 58.96696,
 7919: 76.20345,
 7920: 72.57472,
 7923: 78.0,
 7932: 103.0,
 7941: 99.79024,
 7942: 71.213944,
 7944: 70.7,
 7950: 121.0183456,
 7955: 54.0,
 7958: 43.998425,
 7975: 75.296272,
 7992: 29.48348,
 7998: 101.604608,
 7999: 59.0,
 8003: 99.79024,
 8009: 42.63765,
 8022: 83.007336,
 8027: 72.57472,
 8035: 106.4126832,
 8044: 113.85168487,
 8049: 82.0,
 8052: 107.501305,
 8055: 107.047712,
 8057: 52.16308,
 8064: 34.0194,
 8065: 83.0,
 8066: 69.5810128,
 8072: 157.5778608,
 8083: 91.625584,
 8094: 84.821704,
 8095: 107.3198672,
 8123: 57.424794042,
 8128: 120.20188,
 8131: 99.0,
 8137: 93.893544,
 8139: 79.3786,
 8140: 49.89512,
 8143: 108.4992064,
 8144: 108.9074392,
 8154: 108.9074392,
 8160: 86.18248,
 8163: 92.079176,
 8168: 65.77084,
 8197: 101.698953395,
 8199: 79.83219,
 8234: 130.52802,
 8235: 120.4,
 8244: 75.29633342,
 8248: 75.29633342,
 8249: 75.523068,
 8252: 75.976721975,
 8253: 99.335006714,
 8276: 64.0471904,
 8277: 64.2286272,
 8281: 64.5915008,
 8284: 64.410064,
 8285: 65.1358112,
 8377: 75.29633342,
 8378: 79.832192,
 8379: 68.49244787,
 8384: 68.49244787,
 8385: 68.49244787,
 8391: 68.49244787,
 8396: 75.29633342,
 8398: 75.29633342,
 8399: 74.84274105,
 8401: 74.84274105,
 8402: 73.93555631,
 8412: 75.296272,
 8429: 48.080753,
 8445: 42.63765,
 8449: 129.926010132,
 8455: 130.01701355,
 8468: 73.93555631,
 8478: 68.49244787,
 8480: 68.49244787,
 8484: 68.49244787,
 8485: 68.49244787,
 8507: 121.3,
 8509: 124.2,
 8510: 124.6,
 8515: 75.296272,
 8516: 75.29633342,
 8519: 75.069476,
 8523: 74.615944865,
 8524: 74.162352495,
 8532: 74.162352495,
 8533: 73.93555631,
 8534: 74.162352495,
 8535: 74.162292,
 8536: 75.29633342,
 8538: 74.162292,
 8539: 74.84274105,
 8556: 68.49244787,
 8557: 68.49244787,
 8560: 68.49244787,
 8574: 75.74992579,
 8591: 98.361051399,
 8609: 76.20351816,
 8610: 64.863656,
 8611: 100.697426,
 8613: 68.49244787,
 8630: 68.49244787,
 8631: 68.49244787,
 8634: 68.49244787,
 8637: 68.49244787,
 8638: 90.352005005,
 8639: 91.86100769,
 8645: 64.1379088,
 8651: 68.49244787,
 8654: 68.49244787,
 8656: 68.49244787,
 8657: 68.49244787,
 8659: 68.49244787,
 8660: 68.49244787,
 8666: 68.49244787,
 8671: 68.49244787,
 8673: 68.49244787,
 8675: 68.49244787,
 8677: 68.49244787,
 8679: 68.49244787,
 8687: 118.8,
 8695: 119.9,
 8711: 44.452015,
 8718: 63.956472,
 8720: 64.183268,
 8722: 64.2286272,
 8723: 76.20351816,
 8725: 76.20351816,
 8734: 88.178353959,
 8735: 87.18045213,
 8737: 87.724761589,
 8738: 87.724761589,
 8740: 87.724761589,
 8746: 76.430314345,
 8771: 68.49244787,
 8774: 76.883906715,
 8796: 74.5705248,
 8797: 74.5705248,
 8799: 68.49244787,
 8800: 68.49244787,
 8809: 68.49244787,
 8818: 94.0,
 8824: 76.20351816,
 8835: 97.522475529,
 8836: 65.77084,
 8843: 63.50288,
 8845: 75.523129605,
 8848: 75.749864,
 8852: 77.791091455,
 8873: 77.337499085,
 8874: 77.337499085,
 8886: 64.5915008,
 8887: 64.5915008,
 8888: 64.1379088,
 8891: 133.135009766,
 8892: 96.25229953,
 8894: 95.980145492,
 8895: 112.490816,
 8897: 62.595696,
 8915: 133.765,
 8922: 62.595696,
 8946: 63.50288,
 8947: 63.50288,
 8957: 34.472992,
 8959: 39.00891,
 8973: 87.54332741,
 8978: 67.58526313,
 8980: 67.58526313,
 8983: 67.58526313,
 8984: 67.58526313,
 8987: 121.109064,
 8994: 77.337499085,
 9005: 131.523010254,
 9016: 40.36969,
 9017: 78.01788764,
 9025: 77.791091455,
 9037: 126.0,
 9038: 126.0,
 9039: 124.6,
 9042: 123.4,
 9054: 122.6,
 9057: 78.47148001,
 9063: 98.610978469,
 9064: 98.610978469,
 9066: 98.610978469,
 9067: 98.610978469,
 9068: 98.610978469,
 9069: 98.610978469,
 9078: 64.5915008,
 9088: 78.92507238,
 9089: 79.83225712,
 9109: 112.490816,
 9110: 113.398,
 9113: 38.101727,
 9119: 62.142104,
 9120: 78.698276195,
 9132: 118.387512,
 9138: 67.58526313,
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 ...}

编辑#2由于练习需要将值放入相等的零件箱中，因此我使用了在david发布的链接中找到的以下代码：

cuts = 100
weightdf = healthdf[healthdf["measure"] == "weight"].copy()
weightdf["Ntile"] = 
pd.qcut(weightdf["measure_value"].rank(method='first'), cuts, labels = 
range(1, cuts + 1))
weightdf.groupby("Ntile")["measure_value"].agg(["min","max","count"])

它现在的工作方式与sql中的工作方式完全相同

Answer 1

如果您发布的imgur实际上是您的数据帧，那么问题在于您正在单行数据帧上执行qcut。如何将一行分割成100个分位数？Pandas正在尝试创建一组具有不同分位数值的容器，但由于您只有一个观测值，因此所有这些容器都在同一个位置开始和结束。我可以通过使用单行df重新创建错误来证明这一点：

weightdf = pd.DataFrame(dict(weights=[10])) 
pd.qcut(weightdf["weights"].sort_values(), cuts )

返回

ValueError: Bin edges must be unique:

TLDR：如果要将df拆分为分位数，则需要在df中包含多行