wrangle

View on PyPIReverse Dependencies (3)

0.7.6 wrangle-0.7.6-py2.py3-none-any.whl

Wheel Details

Project: wrangle
Version: 0.7.6
Filename: wrangle-0.7.6-py2.py3-none-any.whl
Download: [link]
Size: 53413
MD5: fdbea856ca529cc95f2c05a9471d19c0
SHA256: 99b87e4d11364accbdce542e039852c85dc5a52c9c99961ba229c16f04139cf0
Uploaded: 2024-04-20 14:29:38 +0000

dist-info

METADATA

Metadata-Version: 2.3
Name: wrangle
Version: 0.7.6
Summary: Wrangle - Data Preparation for Deep Learning
Author-Email: Mikko Kotila <mailme[at]mikkokotila.com>
Maintainer-Email: Mikko Kotila <mailme[at]mikkokotila.com>
Project-Url: Download, https://github.com/autonomio/wrangle/
Project-Url: Homepage, http://autonom.io
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Human Machine Interfaces
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: statsmodels (>=0.11.0)
Requires-Dist: tensorflow
Description-Content-Type: text/markdown
License-Expression: MIT
License-File: LICENSE
[Description omitted; length: 3174 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.24.1
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
wrangle/__init__.py sha256=T8YiptqO6mj7U24gHEBgvj4Kj8IVZbZi8D_Q5v7nj2U 265
wrangle/array/__init__.py sha256=HWUOSJSnM5TbY9RSwwyl7cBUTUIQUwf32WGKO_0H9qA 451
wrangle/array/array_detect_task.py sha256=k1i9XaPGGP1v-3g-CQNA9e4aR49RZYCnnNXh0-RLYNI 817
wrangle/array/array_random_shuffle.py sha256=RN-se0i0huwrPxOzsa81PTBL_fd7emXl9SRxZwuClpY 1653
wrangle/array/array_random_weighted.py sha256=-FFxgADDFmu76WG0xxOBQycQyYzuY6N5Uw9UA76VsHk 910
wrangle/array/array_reshape_conv1d.py sha256=DnbCezE8oRTDQsYvPb2bIq6n_k1rnuzr5-4WrXAQW8E 216
wrangle/array/array_reshape_lstm.py sha256=CZkvV0WeIgvaAo-4IBqjcJx8bRpDIV1Zv6EOhqqS3U8 1307
wrangle/array/array_split.py sha256=GcHNuci-dDG6423hCpJk_Q8LjPTvX_5HD7ArZDegxP0 484
wrangle/array/array_to_generator.py sha256=M67NZ1Hl8rZcHRMKOL-2lhaAge8Y6waAgCBcJHpMNZg 602
wrangle/array/array_to_kfold.py sha256=9dGMmPMlNa5eckWf5BPPut2K7fizd-ADKHJRV8UMox4 437
wrangle/array/array_to_multilabel.py sha256=rzvOnfDjcaCjcBW-qz5gXQTQlTSJeHchB96-M9zxy0c 377
wrangle/col/__init__.py sha256=dAFjoLVPQPdkCU5oMyUUJ_LGpO2IqO2UnWFFEaGnGlQ 855
wrangle/col/col_check_allsame.py sha256=gJlwGv3rWRuOX_uRNVFgSyDgmQRU14Vo4KjRO3-urkk 335
wrangle/col/col_corr_category.py sha256=BylxyiA4gheh80zuoOAjw5yKwTUmkZbAnl3WWnf9gVM 1021
wrangle/col/col_corr_ols.py sha256=wmwGfJFWrYWoYnwlk5wf4bGMhujHkgPDik1BPJvCJu0 1254
wrangle/col/col_drop_outliers.py sha256=agLTA_zufpN86bW3YN2XuirWumkS__0rnZJ9c_kf4w8 1075
wrangle/col/col_fill_nan.py sha256=inCvO4L-y4hQV23O_xVMboWueewTyOJm2NX30PgsJOg 513
wrangle/col/col_groupby_cdf.py sha256=yTnHvMJ6E51Y7wWChMmeVlRn-FaNzOJGsTkbanzeRNA 695
wrangle/col/col_groupby_pdf.py sha256=KemdzydbIJnvn8jQETlSbsS0D8uBBFnpcubRtANLcNg 695
wrangle/col/col_groupby_stats.py sha256=zHIyztTCczGhouFNBjqjQpQ5c84bDRVj97h9JHyu8Fc 714
wrangle/col/col_impute_nan.py sha256=bRfcI-EqFgXQCVq8vDS0wHX4IfPVbemerq1F1M_Qi-s 1081
wrangle/col/col_move_place.py sha256=FwHOSt5oY9BTJWH4iH45csffJLrVbjCA9uG5W_L8Vdw 990
wrangle/col/col_resample_equal.py sha256=IhYRe9j-FitPauLG_NIPYQx1G4Mm_B5icnrlLFmoTf0 420
wrangle/col/col_resample_interval.py sha256=ja1gNr483k2JPh-NugPEr0vZqAx9e1pDoZu7tbqh1l0 1282
wrangle/col/col_rescale_max.py sha256=bnjfBgzjQlIUYVU_T0uwxhHIsQaZHhJx-yhHJ793OOA 580
wrangle/col/col_to_biclass.py sha256=hLdCDVUxuuEa5dObcSPnHDVkjphfn4a5SFEWOSn2FII 713
wrangle/col/col_to_binary.py sha256=AmTJ6EoWCfc1gG_Ec2rxW06q7A2tfOXFORFXGSrroh0 1995
wrangle/col/col_to_buckets.py sha256=RFOZPx6FFhBMlV0CL_i5U7Vs5f5qRRmg1WgYb9VWPaA 911
wrangle/col/col_to_cols.py sha256=cRniKda5_lWikw028MYdd9ogoC0WQpbPDATnXEmLitk 553
wrangle/col/col_to_multilabel.py sha256=gZ74vHbf0wlmjMtEpgWqA63mYilad0kyCVMKGT4knpM 1172
wrangle/col/col_to_split.py sha256=ezFDSLC_MpK0NFGwmMyjc3-Ef6otbLtnl9fTWIwKxXc 1094
wrangle/df/__init__.py sha256=VdFoThrh5y-WRNUA9c58xrd0p2KmiBVrXX1eoHVgIA8 1586
wrangle/df/df_add_scorecol.py sha256=nZWOWMeJKkQjt6MRpoM1BWMw5RpHWXswRYfi7NW5B98 1605
wrangle/df/df_clean_colnames.py sha256=5In9YsPG2Zdpph3gO63hDHufhZdZ4KbyS6nhH0sdeI4 949
wrangle/df/df_corr_any.py sha256=1jXPbdNFZKwBl5Wu7OHb6cVbyR_G4bMWMD-JyZAXGtI 495
wrangle/df/df_corr_extratrees.py sha256=_YS9BoEyCthi7Cq77UcFkm9e98Kym0cl5uK-svuS8fE 611
wrangle/df/df_corr_ols.py sha256=0sLDxua5EDEiUiid4mlDq1HpTRzNBUVNLW8C3XEzqzE 991
wrangle/df/df_corr_pearson.py sha256=QjKLTQXtltQdeVBhPgSWEpe5jUvzryzqYmHUz6Jg-uI 906
wrangle/df/df_corr_randomforest.py sha256=Fc-LfkfP3o682C-Vb2hEGz9xZgAwiBSFpySZyQZinkA 934
wrangle/df/df_count_uniques.py sha256=UxQnWG8qOFSkZXQDm1rqvwHu0toyhackfE-hpy__nDg 154
wrangle/df/df_drop_col.py sha256=CtMDB-nWDKgX2q8j2ydPTo5pZOBpCydF2qbuKMLaxVw 228
wrangle/df/df_drop_duplicates.py sha256=bQ1yzzdNFUTslKTJuekjeJRv4AgiHsQrW3ug81W1xBI 64
wrangle/df/df_drop_nancols.py sha256=tsSY2CrMZttgljlvxhD3gNnULM2dgdCW16sQ6gBt-lE 844
wrangle/df/df_drop_nanrows.py sha256=FVWUeKO6U2y1BZQhoGet8N1TsodUoaxmhUNRT8oFJVg 639
wrangle/df/df_drop_weak.py sha256=lBzdANFaXazJz_p5ZFJtEdl_lf3r1en9mGTzWnYLXiw 1185
wrangle/df/df_fill_empty.py sha256=IVis6ysCPV1LMzak8Ii0_zDrJQhzNiEwQ-KJBwe7KqM 596
wrangle/df/df_find_nan.py sha256=8I3UBVKwZh8dZbnjVmHdUZycpGp3qfsugdl9Jy43ID0 724
wrangle/df/df_groupby_params.py sha256=pPe5OMXope5SjXkDppBIx56gpfkyTQTeQB52ldT8xpk 1468
wrangle/df/df_impute_nan.py sha256=7Wi905PB6imQplbssGQwGdEb528dK9PQaRe58oT3LUk 1069
wrangle/df/df_merge.py sha256=ZQ9vLPuXUwirIX2n4x8I9JMcORFw1Y6FGn4v3ki395w 494
wrangle/df/df_parallelize_process.py sha256=_DsZsPU2hy_XSurODb2GGBfH_m9oT7Nty_-1l1tmaGU 587
wrangle/df/df_print_values.py sha256=LyUx6HaleLiKMEkJDyKAB0LZL0FlW4_TQToD7kAJRkc 442
wrangle/df/df_rename_col.py sha256=3etRWLeVU6UqhudX5F8CTBf4X0lLGny9joVFLapRWzM 684
wrangle/df/df_rename_cols.py sha256=H9snt6bmEjFDYgpbltU6M-FwC2ApkWCmJnh-kU9y_XE 1022
wrangle/df/df_resample_id.py sha256=oMFqIDq2YDWWBP-uUa5RWt_tyDM7f0_7_ZhwlZJh3EE 658
wrangle/df/df_resample_stratified.py sha256=t4PFH8yZg0-iWu70vDgDZ6k4ScWbiYIgPmTOwZupaVc 961
wrangle/df/df_rescale_log.py sha256=D_oTmdXQ3bb8MWPPVjdpBYt3L4t90NGXwiWKHnTrXQg 908
wrangle/df/df_rescale_meanzero.py sha256=sc_nJlm5Kdw2dkNl8skfU2VDCHFDyuo8rXMH2mbKm8E 1334
wrangle/df/df_rescale_sqrt.py sha256=fh-AHDbcns63DoX8eBa4uHeX_9Bbh9d62BBTncYndG8 878
wrangle/df/df_restructure_values.py sha256=QZpvZxl1_GH6c2OM7CpbO6gqjw5LqslIvi3bd2vOLUA 896
wrangle/df/df_to_binary.py sha256=zHYhp2HPfIb238AbhHMu8shlBFBNYGTwQ7hLSCF3_qE 134
wrangle/df/df_to_dfs.py sha256=Phn0PP6mtQJ4sXc7g7y59fFX_yjlA74MehzQ-IsHQ5s 1283
wrangle/df/df_to_groupby.py sha256=NaVU7t2FpqjM6fFNho8RcOZmRMAZq9X7DfBhySUpqFg 500
wrangle/df/df_to_lower.py sha256=gwGhoc-GssW2btN5XmZBWdTQ2cMocj_0kI6diR_xfpU 527
wrangle/df/df_to_multiclass.py sha256=1yucd0rNPyfLtR6Tmz-c67DeVyyDNBDZSIQwlHDAWNE 1173
wrangle/df/df_to_multilabel.py sha256=VxgPbYSQkMyAwSU_P6IyaI1xqJTGzpVEuZqxdM7iOjE 1352
wrangle/df/df_to_numeric.py sha256=iGyWkUofoW8ppvy9S7-LEYjQFE2Jw3SZg2bx4j3ib70 1195
wrangle/df/df_to_xy.py sha256=pnyuyo-6H3657Lc0wR6BWcu-o-zZO1UGE_QcSH0n8xU 286
wrangle/dic/__init__.py sha256=fs6yyS0yHH2VFsAohZVBoTLFwOrEgG3WkQR5UGFCJxw 149
wrangle/dic/dic_corr_perc.py sha256=OACerCwjvOwV4PhCBztMWCxsjm2Ntnw6y6TpdynlnyQ 1641
wrangle/dic/dic_count_complexity.py sha256=d6FubaNqeZiy9QgISTA5tP8tZvSH33rHHxCT1M26XQ0 116
wrangle/dic/dic_resample_values.py sha256=bDaod8p7dn2EQImPhune0NuPeOYJwj2V4apdAKLEyKQ 226
wrangle/utils/__init__.py sha256=_WXpHg-sqlkzB_Vw-1Hl7o3_fd47ERjt2pcIWth2mFk 181
wrangle/utils/category_labeling.py sha256=iqhxc_Jv1Wc__An9mZ0gRXaaoSSgGpubyFP4lBVHSZU 2361
wrangle/utils/connection_check.py sha256=Sy5RS_wgxqKOep43d1-Vj7C2CJv41af0EdS2QUefx7U 172
wrangle/utils/create_datetime_col.py sha256=HtXMkMNfq_M5R2XkeP4biHsDwytlYLIeuewOs6rwZJw 1645
wrangle/utils/create_synth_data.py sha256=Txr8nc13y-D_NUvAzvD7Ho2DnJBfIozLZwSOXOdfUKs 1098
wrangle/utils/create_synth_model.py sha256=AJIXrhGGHfwM5Ue-PS268cKunLT5H3e_v_xire_3BXM 1621
wrangle/utils/create_time_sequence.py sha256=N9mG5ADCqptPgVSNYJaJc0m6f5r5Eev36Pb_cMDF3a0 1125
wrangle/utils/datetime_handler.py sha256=FzFeklZDGeXl1PwE5eLQwcdzgmYj-2jDobR51_tI7-U 2589
wrangle/utils/groupby_func.py sha256=NdHukCX-sr5amwy8ZmSOQGcnyeyusb8_I6qO_VdZhQo 1564
wrangle/utils/int_to_string.py sha256=2nyxAcWFCu9Rfl7PKGQFpuHjXjzTumuzXOT4JELErqs 121
wrangle/utils/is_number.py sha256=EOZ12TaJzACAHVWfbh1oUD1kMULXxh4p5kHhGCAgi2o 254
wrangle/utils/multi_input_support.py sha256=dtG61hqDfJzsRusjKOMBdCEpm7W_31xu_cVWcMphYpo 1171
wrangle/utils/nan_dropper.py sha256=IUq-MO4Ob49N69MOnkQ6UM3Uxq4h2tVppQO0JpaThmE 607
wrangle/utils/network_check.py sha256=0HYVxjkzIIUuqC2khRS8_Z9KP-sU6b874cQhycJgr58 173
wrangle/utils/read_large_csv.py sha256=x3GueeXdUZJJjcVoKk7Ml_ZQ2kvlKRG9R-4qodN5bqY 1178
wrangle/utils/transform_data.py sha256=3ZpK6obaJKE6Ium01wrDLFOvvI-cV_V8T5lYjxx2ADg 1202
wrangle/utils/value_starts_with.py sha256=RMRDqotDzxGpNWUdx7S5BA64kuzQGaT6zwNCXWX3lM8 1072
wrangle/utils/wrangler_utils.py sha256=NH0fOwUhddEBodzpDLvIIlQm02OEr4mtVSpzctaLBOY 3193
wrangle-0.7.6.dist-info/METADATA sha256=EJxuaLX7iF36mN6_Idq2zsKtFCD5rX76KvRT7Nyp9uM 4207
wrangle-0.7.6.dist-info/WHEEL sha256=lA-f9Lj70wKOLrgpRcgvGFxEoHnVMUTjYbvYas0c5ow 105
wrangle-0.7.6.dist-info/licenses/LICENSE sha256=41atCOF59aLZRsK0AeeIPfo3STmYio729ZyB9bJhg80 1069
wrangle-0.7.6.dist-info/RECORD