Datasets:

wangdx25
/

time_series_dataset

Name: time_series_dataset
Creator: wangdx

Tasks:

Time Series Forecasting

Modalities:

Tags:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    ValueError
Message:      Some splits are duplicated in data_files: ['train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1215, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1190, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 646, in get_module
                  patterns = sanitize_patterns(next(iter(metadata_configs.values()))["data_files"])
                File "/usr/local/lib/python3.14/site-packages/datasets/data_files.py", line 151, in sanitize_patterns
                  raise ValueError(f"Some splits are duplicated in data_files: {splits}")
              ValueError: Some splits are duplicated in data_files: ['train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train']

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include six common Time-series-forcasting dataset

ETTsmall
- ETTh1
- ETTh2
- ETTm1
- ETTm2
traffic
eletricity
illness
exchange_rate

TsFile Conversion

Original dataset: ym0v0my/Time_series_dataset
Modalities: Time-series
Converted data files are listed in the YAML metadata above.
Source README text and dataset-specific metadata are retained; the source Usage section is replaced with the executable TsFile Python SDK example below.
The source archive's wide CSV tables are each retained as one TsFile table.
date becomes millisecond Time; numeric series columns are preserved as FIELD measurements.
electricity.csv fields map to {"0": "c_0", "1": "c_1", "2": "c_2", "3": "c_3", "4": "c_4", "5": "c_5", "6": "c_6", "7": "c_7", "8": "c_8", "9": "c_9", "10": "c_10", "11": "c_11", "12": "c_12", "13": "c_13", "14": "c_14", "15": "c_15", "16": "c_16", "17": "c_17", "18": "c_18", "19": "c_19", "20": "c_20", "21": "c_21", "22": "c_22", "23": "c_23", "24": "c_24", "25": "c_25", "26": "c_26", "27": "c_27", "28": "c_28", "29": "c_29", "30": "c_30", "31": "c_31", "32": "c_32", "33": "c_33", "34": "c_34", "35": "c_35", "36": "c_36", "37": "c_37", "38": "c_38", "39": "c_39", "40": "c_40", "41": "c_41", "42": "c_42", "43": "c_43", "44": "c_44", "45": "c_45", "46": "c_46", "47": "c_47", "48": "c_48", "49": "c_49", "50": "c_50", "51": "c_51", "52": "c_52", "53": "c_53", "54": "c_54", "55": "c_55", "56": "c_56", "57": "c_57", "58": "c_58", "59": "c_59", "60": "c_60", "61": "c_61", "62": "c_62", "63": "c_63", "64": "c_64", "65": "c_65", "66": "c_66", "67": "c_67", "68": "c_68", "69": "c_69", "70": "c_70", "71": "c_71", "72": "c_72", "73": "c_73", "74": "c_74", "75": "c_75", "76": "c_76", "77": "c_77", "78": "c_78", "79": "c_79", "80": "c_80", "81": "c_81", "82": "c_82", "83": "c_83", "84": "c_84", "85": "c_85", "86": "c_86", "87": "c_87", "88": "c_88", "89": "c_89", "90": "c_90", "91": "c_91", "92": "c_92", "93": "c_93", "94": "c_94", "95": "c_95", "96": "c_96", "97": "c_97", "98": "c_98", "99": "c_99", "100": "c_100", "101": "c_101", "102": "c_102", "103": "c_103", "104": "c_104", "105": "c_105", "106": "c_106", "107": "c_107", "108": "c_108", "109": "c_109", "110": "c_110", "111": "c_111", "112": "c_112", "113": "c_113", "114": "c_114", "115": "c_115", "116": "c_116", "117": "c_117", "118": "c_118", "119": "c_119", "120": "c_120", "121": "c_121", "122": "c_122", "123": "c_123", "124": "c_124", "125": "c_125", "126": "c_126", "127": "c_127", "128": "c_128", "129": "c_129", "130": "c_130", "131": "c_131", "132": "c_132", "133": "c_133", "134": "c_134", "135": "c_135", "136": "c_136", "137": "c_137", "138": "c_138", "139": "c_139", "140": "c_140", "141": "c_141", "142": "c_142", "143": "c_143", "144": "c_144", "145": "c_145", "146": "c_146", "147": "c_147", "148": "c_148", "149": "c_149", "150": "c_150", "151": "c_151", "152": "c_152", "153": "c_153", "154": "c_154", "155": "c_155", "156": "c_156", "157": "c_157", "158": "c_158", "159": "c_159", "160": "c_160", "161": "c_161", "162": "c_162", "163": "c_163", "164": "c_164", "165": "c_165", "166": "c_166", "167": "c_167", "168": "c_168", "169": "c_169", "170": "c_170", "171": "c_171", "172": "c_172", "173": "c_173", "174": "c_174", "175": "c_175", "176": "c_176", "177": "c_177", "178": "c_178", "179": "c_179", "180": "c_180", "181": "c_181", "182": "c_182", "183": "c_183", "184": "c_184", "185": "c_185", "186": "c_186", "187": "c_187", "188": "c_188", "189": "c_189", "190": "c_190", "191": "c_191", "192": "c_192", "193": "c_193", "194": "c_194", "195": "c_195", "196": "c_196", "197": "c_197", "198": "c_198", "199": "c_199", "200": "c_200", "201": "c_201", "202": "c_202", "203": "c_203", "204": "c_204", "205": "c_205", "206": "c_206", "207": "c_207", "208": "c_208", "209": "c_209", "210": "c_210", "211": "c_211", "212": "c_212", "213": "c_213", "214": "c_214", "215": "c_215", "216": "c_216", "217": "c_217", "218": "c_218", "219": "c_219", "220": "c_220", "221": "c_221", "222": "c_222", "223": "c_223", "224": "c_224", "225": "c_225", "226": "c_226", "227": "c_227", "228": "c_228", "229": "c_229", "230": "c_230", "231": "c_231", "232": "c_232", "233": "c_233", "234": "c_234", "235": "c_235", "236": "c_236", "237": "c_237", "238": "c_238", "239": "c_239", "240": "c_240", "241": "c_241", "242": "c_242", "243": "c_243", "244": "c_244", "245": "c_245", "246": "c_246", "247": "c_247", "248": "c_248", "249": "c_249", "250": "c_250", "251": "c_251", "252": "c_252", "253": "c_253", "254": "c_254", "255": "c_255", "256": "c_256", "257": "c_257", "258": "c_258", "259": "c_259", "260": "c_260", "261": "c_261", "262": "c_262", "263": "c_263", "264": "c_264", "265": "c_265", "266": "c_266", "267": "c_267", "268": "c_268", "269": "c_269", "270": "c_270", "271": "c_271", "272": "c_272", "273": "c_273", "274": "c_274", "275": "c_275", "276": "c_276", "277": "c_277", "278": "c_278", "279": "c_279", "280": "c_280", "281": "c_281", "282": "c_282", "283": "c_283", "284": "c_284", "285": "c_285", "286": "c_286", "287": "c_287", "288": "c_288", "289": "c_289", "290": "c_290", "291": "c_291", "292": "c_292", "293": "c_293", "294": "c_294", "295": "c_295", "296": "c_296", "297": "c_297", "298": "c_298", "299": "c_299", "300": "c_300", "301": "c_301", "302": "c_302", "303": "c_303", "304": "c_304", "305": "c_305", "306": "c_306", "307": "c_307", "308": "c_308", "309": "c_309", "310": "c_310", "311": "c_311", "312": "c_312", "313": "c_313", "314": "c_314", "315": "c_315", "316": "c_316", "317": "c_317", "318": "c_318", "319": "c_319", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
ETTh1.csv fields map to {"HUFL": "HUFL", "HULL": "HULL", "MUFL": "MUFL", "MULL": "MULL", "LUFL": "LUFL", "LULL": "LULL", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
ETTh2.csv fields map to {"HUFL": "HUFL", "HULL": "HULL", "MUFL": "MUFL", "MULL": "MULL", "LUFL": "LUFL", "LULL": "LULL", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
ETTm1.csv fields map to {"HUFL": "HUFL", "HULL": "HULL", "MUFL": "MUFL", "MULL": "MULL", "LUFL": "LUFL", "LULL": "LULL", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
ETTm2.csv fields map to {"HUFL": "HUFL", "HULL": "HULL", "MUFL": "MUFL", "MULL": "MULL", "LUFL": "LUFL", "LULL": "LULL", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
exchange_rate.csv fields map to {"0": "c_0", "1": "c_1", "2": "c_2", "3": "c_3", "4": "c_4", "5": "c_5", "6": "c_6", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
national_illness.csv fields map to {"% WEIGHTED ILI": "WEIGHTED_ILI", "%UNWEIGHTED ILI": "UNWEIGHTED_ILI", "AGE 0-4": "AGE_0_4", "AGE 5-24": "AGE_5_24", "ILITOTAL": "ILITOTAL", "NUM. OF PROVIDERS": "NUM_OF_PROVIDERS", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
traffic.csv fields map to {"0": "c_0", "1": "c_1", "2": "c_2", "3": "c_3", "4": "c_4", "5": "c_5", "6": "c_6", "7": "c_7", "8": "c_8", "9": "c_9", "10": "c_10", "11": "c_11", "12": "c_12", "13": "c_13", "14": "c_14", "15": "c_15", "16": "c_16", "17": "c_17", "18": "c_18", "19": "c_19", "20": "c_20", "21": "c_21", "22": "c_22", "23": "c_23", "24": "c_24", "25": "c_25", "26": "c_26", "27": "c_27", "28": "c_28", "29": "c_29", "30": "c_30", "31": "c_31", "32": "c_32", "33": "c_33", "34": "c_34", "35": "c_35", "36": "c_36", "37": "c_37", "38": "c_38", "39": "c_39", "40": "c_40", "41": "c_41", "42": "c_42", "43": "c_43", "44": "c_44", "45": "c_45", "46": "c_46", "47": "c_47", "48": "c_48", "49": "c_49", "50": "c_50", "51": "c_51", "52": "c_52", "53": "c_53", "54": "c_54", "55": "c_55", "56": "c_56", "57": "c_57", "58": "c_58", "59": "c_59", "60": "c_60", "61": "c_61", "62": "c_62", "63": "c_63", "64": "c_64", "65": "c_65", "66": "c_66", "67": "c_67", "68": "c_68", "69": "c_69", "70": "c_70", "71": "c_71", "72": "c_72", "73": "c_73", "74": "c_74", "75": "c_75", "76": "c_76", "77": "c_77", "78": "c_78", "79": "c_79", "80": "c_80", "81": "c_81", "82": "c_82", "83": "c_83", "84": "c_84", "85": "c_85", "86": "c_86", "87": "c_87", "88": "c_88", "89": "c_89", "90": "c_90", "91": "c_91", "92": "c_92", "93": "c_93", "94": "c_94", "95": "c_95", "96": "c_96", "97": "c_97", "98": "c_98", "99": "c_99", "100": "c_100", "101": "c_101", "102": "c_102", "103": "c_103", "104": "c_104", "105": "c_105", "106": "c_106", "107": "c_107", "108": "c_108", "109": "c_109", "110": "c_110", "111": "c_111", "112": "c_112", "113": "c_113", "114": "c_114", "115": "c_115", "116": "c_116", "117": "c_117", "118": "c_118", "119": "c_119", "120": "c_120", "121": "c_121", "122": "c_122", "123": "c_123", "124": "c_124", "125": "c_125", "126": "c_126", "127": "c_127", "128": "c_128", "129": "c_129", "130": "c_130", "131": "c_131", "132": "c_132", "133": "c_133", "134": "c_134", "135": "c_135", "136": "c_136", "137": "c_137", "138": "c_138", "139": "c_139", "140": "c_140", "141": "c_141", "142": "c_142", "143": "c_143", "144": "c_144", "145": "c_145", "146": "c_146", "147": "c_147", "148": "c_148", "149": "c_149", "150": "c_150", "151": "c_151", "152": "c_152", "153": "c_153", "154": "c_154", "155": "c_155", "156": "c_156", "157": "c_157", "158": "c_158", "159": "c_159", "160": "c_160", "161": "c_161", "162": "c_162", "163": "c_163", "164": "c_164", "165": "c_165", "166": "c_166", "167": "c_167", "168": "c_168", "169": "c_169", "170": "c_170", "171": "c_171", "172": "c_172", "173": "c_173", "174": "c_174", "175": "c_175", "176": "c_176", "177": "c_177", "178": "c_178", "179": "c_179", "180": "c_180", "181": "c_181", "182": "c_182", "183": "c_183", "184": "c_184", "185": "c_185", "186": "c_186", "187": "c_187", "188": "c_188", "189": "c_189", "190": "c_190", "191": "c_191", "192": "c_192", "193": "c_193", "194": "c_194", "195": "c_195", "196": "c_196", "197": "c_197", "198": "c_198", "199": "c_199", "200": "c_200", "201": "c_201", "202": "c_202", "203": "c_203", "204": "c_204", "205": "c_205", "206": "c_206", "207": "c_207", "208": "c_208", "209": "c_209", "210": "c_210", "211": "c_211", "212": "c_212", "213": "c_213", "214": "c_214", "215": "c_215", "216": "c_216", "217": "c_217", "218": "c_218", "219": "c_219", "220": "c_220", "221": "c_221", "222": "c_222", "223": "c_223", "224": "c_224", "225": "c_225", "226": "c_226", "227": "c_227", "228": "c_228", "229": "c_229", "230": "c_230", "231": "c_231", "232": "c_232", "233": "c_233", "234": "c_234", "235": "c_235", "236": "c_236", "237": "c_237", "238": "c_238", "239": "c_239", "240": "c_240", "241": "c_241", "242": "c_242", "243": "c_243", "244": "c_244", "245": "c_245", "246": "c_246", "247": "c_247", "248": "c_248", "249": "c_249", "250": "c_250", "251": "c_251", "252": "c_252", "253": "c_253", "254": "c_254", "255": "c_255", "256": "c_256", "257": "c_257", "258": "c_258", "259": "c_259", "260": "c_260", "261": "c_261", "262": "c_262", "263": "c_263", "264": "c_264", "265": "c_265", "266": "c_266", "267": "c_267", "268": "c_268", "269": "c_269", "270": "c_270", "271": "c_271", "272": "c_272", "273": "c_273", "274": "c_274", "275": "c_275", "276": "c_276", "277": "c_277", "278": "c_278", "279": "c_279", "280": "c_280", "281": "c_281", "282": "c_282", "283": "c_283", "284": "c_284", "285": "c_285", "286": "c_286", "287": "c_287", "288": "c_288", "289": "c_289", "290": "c_290", "291": "c_291", "292": "c_292", "293": "c_293", "294": "c_294", "295": "c_295", "296": "c_296", "297": "c_297", "298": "c_298", "299": "c_299", "300": "c_300", "301": "c_301", "302": "c_302", "303": "c_303", "304": "c_304", "305": "c_305", "306": "c_306", "307": "c_307", "308": "c_308", "309": "c_309", "310": "c_310", "311": "c_311", "312": "c_312", "313": "c_313", "314": "c_314", "315": "c_315", "316": "c_316", "317": "c_317", "318": "c_318", "319": "c_319", "320": "c_320", "321": "c_321", "322": "c_322", "323": "c_323", "324": "c_324", "325": "c_325", "326": "c_326", "327": "c_327", "328": "c_328", "329": "c_329", "330": "c_330", "331": "c_331", "332": "c_332", "333": "c_333", "334": "c_334", "335": "c_335", "336": "c_336", "337": "c_337", "338": "c_338", "339": "c_339", "340": "c_340", "341": "c_341", "342": "c_342", "343": "c_343", "344": "c_344", "345": "c_345", "346": "c_346", "347": "c_347", "348": "c_348", "349": "c_349", "350": "c_350", "351": "c_351", "352": "c_352", "353": "c_353", "354": "c_354", "355": "c_355", "356": "c_356", "357": "c_357", "358": "c_358", "359": "c_359", "360": "c_360", "361": "c_361", "362": "c_362", "363": "c_363", "364": "c_364", "365": "c_365", "366": "c_366", "367": "c_367", "368": "c_368", "369": "c_369", "370": "c_370", "371": "c_371", "372": "c_372", "373": "c_373", "374": "c_374", "375": "c_375", "376": "c_376", "377": "c_377", "378": "c_378", "379": "c_379", "380": "c_380", "381": "c_381", "382": "c_382", "383": "c_383", "384": "c_384", "385": "c_385", "386": "c_386", "387": "c_387", "388": "c_388", "389": "c_389", "390": "c_390", "391": "c_391", "392": "c_392", "393": "c_393", "394": "c_394", "395": "c_395", "396": "c_396", "397": "c_397", "398": "c_398", "399": "c_399", "400": "c_400", "401": "c_401", "402": "c_402", "403": "c_403", "404": "c_404", "405": "c_405", "406": "c_406", "407": "c_407", "408": "c_408", "409": "c_409", "410": "c_410", "411": "c_411", "412": "c_412", "413": "c_413", "414": "c_414", "415": "c_415", "416": "c_416", "417": "c_417", "418": "c_418", "419": "c_419", "420": "c_420", "421": "c_421", "422": "c_422", "423": "c_423", "424": "c_424", "425": "c_425", "426": "c_426", "427": "c_427", "428": "c_428", "429": "c_429", "430": "c_430", "431": "c_431", "432": "c_432", "433": "c_433", "434": "c_434", "435": "c_435", "436": "c_436", "437": "c_437", "438": "c_438", "439": "c_439", "440": "c_440", "441": "c_441", "442": "c_442", "443": "c_443", "444": "c_444", "445": "c_445", "446": "c_446", "447": "c_447", "448": "c_448", "449": "c_449", "450": "c_450", "451": "c_451", "452": "c_452", "453": "c_453", "454": "c_454", "455": "c_455", "456": "c_456", "457": "c_457", "458": "c_458", "459": "c_459", "460": "c_460", "461": "c_461", "462": "c_462", "463": "c_463", "464": "c_464", "465": "c_465", "466": "c_466", "467": "c_467", "468": "c_468", "469": "c_469", "470": "c_470", "471": "c_471", "472": "c_472", "473": "c_473", "474": "c_474", "475": "c_475", "476": "c_476", "477": "c_477", "478": "c_478", "479": "c_479", "480": "c_480", "481": "c_481", "482": "c_482", "483": "c_483", "484": "c_484", "485": "c_485", "486": "c_486", "487": "c_487", "488": "c_488", "489": "c_489", "490": "c_490", "491": "c_491", "492": "c_492", "493": "c_493", "494": "c_494", "495": "c_495", "496": "c_496", "497": "c_497", "498": "c_498", "499": "c_499", "500": "c_500", "501": "c_501", "502": "c_502", "503": "c_503", "504": "c_504", "505": "c_505", "506": "c_506", "507": "c_507", "508": "c_508", "509": "c_509", "510": "c_510", "511": "c_511", "512": "c_512", "513": "c_513", "514": "c_514", "515": "c_515", "516": "c_516", "517": "c_517", "518": "c_518", "519": "c_519", "520": "c_520", "521": "c_521", "522": "c_522", "523": "c_523", "524": "c_524", "525": "c_525", "526": "c_526", "527": "c_527", "528": "c_528", "529": "c_529", "530": "c_530", "531": "c_531", "532": "c_532", "533": "c_533", "534": "c_534", "535": "c_535", "536": "c_536", "537": "c_537", "538": "c_538", "539": "c_539", "540": "c_540", "541": "c_541", "542": "c_542", "543": "c_543", "544": "c_544", "545": "c_545", "546": "c_546", "547": "c_547", "548": "c_548", "549": "c_549", "550": "c_550", "551": "c_551", "552": "c_552", "553": "c_553", "554": "c_554", "555": "c_555", "556": "c_556", "557": "c_557", "558": "c_558", "559": "c_559", "560": "c_560", "561": "c_561", "562": "c_562", "563": "c_563", "564": "c_564", "565": "c_565", "566": "c_566", "567": "c_567", "568": "c_568", "569": "c_569", "570": "c_570", "571": "c_571", "572": "c_572", "573": "c_573", "574": "c_574", "575": "c_575", "576": "c_576", "577": "c_577", "578": "c_578", "579": "c_579", "580": "c_580", "581": "c_581", "582": "c_582", "583": "c_583", "584": "c_584", "585": "c_585", "586": "c_586", "587": "c_587", "588": "c_588", "589": "c_589", "590": "c_590", "591": "c_591", "592": "c_592", "593": "c_593", "594": "c_594", "595": "c_595", "596": "c_596", "597": "c_597", "598": "c_598", "599": "c_599", "600": "c_600", "601": "c_601", "602": "c_602", "603": "c_603", "604": "c_604", "605": "c_605", "606": "c_606", "607": "c_607", "608": "c_608", "609": "c_609", "610": "c_610", "611": "c_611", "612": "c_612", "613": "c_613", "614": "c_614", "615": "c_615", "616": "c_616", "617": "c_617", "618": "c_618", "619": "c_619", "620": "c_620", "621": "c_621", "622": "c_622", "623": "c_623", "624": "c_624", "625": "c_625", "626": "c_626", "627": "c_627", "628": "c_628", "629": "c_629", "630": "c_630", "631": "c_631", "632": "c_632", "633": "c_633", "634": "c_634", "635": "c_635", "636": "c_636", "637": "c_637", "638": "c_638", "639": "c_639", "640": "c_640", "641": "c_641", "642": "c_642", "643": "c_643", "644": "c_644", "645": "c_645", "646": "c_646", "647": "c_647", "648": "c_648", "649": "c_649", "650": "c_650", "651": "c_651", "652": "c_652", "653": "c_653", "654": "c_654", "655": "c_655", "656": "c_656", "657": "c_657", "658": "c_658", "659": "c_659", "660": "c_660", "661": "c_661", "662": "c_662", "663": "c_663", "664": "c_664", "665": "c_665", "666": "c_666", "667": "c_667", "668": "c_668", "669": "c_669", "670": "c_670", "671": "c_671", "672": "c_672", "673": "c_673", "674": "c_674", "675": "c_675", "676": "c_676", "677": "c_677", "678": "c_678", "679": "c_679", "680": "c_680", "681": "c_681", "682": "c_682", "683": "c_683", "684": "c_684", "685": "c_685", "686": "c_686", "687": "c_687", "688": "c_688", "689": "c_689", "690": "c_690", "691": "c_691", "692": "c_692", "693": "c_693", "694": "c_694", "695": "c_695", "696": "c_696", "697": "c_697", "698": "c_698", "699": "c_699", "700": "c_700", "701": "c_701", "702": "c_702", "703": "c_703", "704": "c_704", "705": "c_705", "706": "c_706", "707": "c_707", "708": "c_708", "709": "c_709", "710": "c_710", "711": "c_711", "712": "c_712", "713": "c_713", "714": "c_714", "715": "c_715", "716": "c_716", "717": "c_717", "718": "c_718", "719": "c_719", "720": "c_720", "721": "c_721", "722": "c_722", "723": "c_723", "724": "c_724", "725": "c_725", "726": "c_726", "727": "c_727", "728": "c_728", "729": "c_729", "730": "c_730", "731": "c_731", "732": "c_732", "733": "c_733", "734": "c_734", "735": "c_735", "736": "c_736", "737": "c_737", "738": "c_738", "739": "c_739", "740": "c_740", "741": "c_741", "742": "c_742", "743": "c_743", "744": "c_744", "745": "c_745", "746": "c_746", "747": "c_747", "748": "c_748", "749": "c_749", "750": "c_750", "751": "c_751", "752": "c_752", "753": "c_753", "754": "c_754", "755": "c_755", "756": "c_756", "757": "c_757", "758": "c_758", "759": "c_759", "760": "c_760", "761": "c_761", "762": "c_762", "763": "c_763", "764": "c_764", "765": "c_765", "766": "c_766", "767": "c_767", "768": "c_768", "769": "c_769", "770": "c_770", "771": "c_771", "772": "c_772", "773": "c_773", "774": "c_774", "775": "c_775", "776": "c_776", "777": "c_777", "778": "c_778", "779": "c_779", "780": "c_780", "781": "c_781", "782": "c_782", "783": "c_783", "784": "c_784", "785": "c_785", "786": "c_786", "787": "c_787", "788": "c_788", "789": "c_789", "790": "c_790", "791": "c_791", "792": "c_792", "793": "c_793", "794": "c_794", "795": "c_795", "796": "c_796", "797": "c_797", "798": "c_798", "799": "c_799", "800": "c_800", "801": "c_801", "802": "c_802", "803": "c_803", "804": "c_804", "805": "c_805", "806": "c_806", "807": "c_807", "808": "c_808", "809": "c_809", "810": "c_810", "811": "c_811", "812": "c_812", "813": "c_813", "814": "c_814", "815": "c_815", "816": "c_816", "817": "c_817", "818": "c_818", "819": "c_819", "820": "c_820", "821": "c_821", "822": "c_822", "823": "c_823", "824": "c_824", "825": "c_825", "826": "c_826", "827": "c_827", "828": "c_828", "829": "c_829", "830": "c_830", "831": "c_831", "832": "c_832", "833": "c_833", "834": "c_834", "835": "c_835", "836": "c_836", "837": "c_837", "838": "c_838", "839": "c_839", "840": "c_840", "841": "c_841", "842": "c_842", "843": "c_843", "844": "c_844", "845": "c_845", "846": "c_846", "847": "c_847", "848": "c_848", "849": "c_849", "850": "c_850", "851": "c_851", "852": "c_852", "853": "c_853", "854": "c_854", "855": "c_855", "856": "c_856", "857": "c_857", "858": "c_858", "859": "c_859", "860": "c_860", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.
weather.csv fields map to {"p (mbar)": "p_mbar", "T (degC)": "T_degC", "Tpot (K)": "Tpot_K", "Tdew (degC)": "Tdew_degC", "rh (%)": "rh", "VPmax (mbar)": "VPmax_mbar", "VPact (mbar)": "VPact_mbar", "VPdef (mbar)": "VPdef_mbar", "sh (g/kg)": "sh_g_kg", "H2OC (mmol/mol)": "H2OC_mmol_mol", "rho (g/m**3)": "rho_g_m_3", "wv (m/s)": "wv_m_s", "max. wv (m/s)": "max_wv_m_s", "wd (deg)": "wd_deg", "rain (mm)": "rain_mm", "raining (s)": "raining_s", "SWDR (W/m�)": "SWDR_W_m", "PAR (�mol/m�/s)": "PAR_mol_m_s", "max. PAR (�mol/m�/s)": "max_PAR_mol_m_s", "Tlog (degC)": "Tlog_degC", "OT": "OT"} and are stably sorted by Time; repeated timestamps receive deterministic millisecond offsets.

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("electricity.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())

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Total file size:

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