{"library":"pygrinder","type":"library","category":null,"description":"A Python toolkit for introducing missing values into datasets under various missingness mechanisms (MCAR, MAR, MNAR) and patterns (point, sequential, block). Current version: 0.7. Requires Python >=3.8. Released quarterly.","language":"python","status":"active","version":"0.7","tags":["missing-data","data-imputation","MCAR","MAR","MNAR","data-augmentation","time-series"],"install":[{"cmd":"pip install pygrinder","imports":["from pygrinder import mcar","from pygrinder import mar_logistic","from pygrinder import mnar_x","from pygrinder import mnar_t","from pygrinder import mnar_nonuniform","from pygrinder import seq_missing","from pygrinder import block_missing","from pygrinder import rdo","from pygrinder import fill_and_get_mask","from pygrinder import little_mcar_test","from pygrinder import calc_missing_rate"]}],"homepage":"https://pypots.com","github":"https://github.com/WenjieDu/PyGrinder","docs":"https://docs.pypots.com","changelog":null,"pypi":"https://pypi.org/project/pygrinder/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":81.7,"avg_import_s":12.84,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pygrinder/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Wed Jul 29","install_tag":null}}