adding zip file support

build/lib/featurewiz/__init__.py

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+# -*- coding: utf-8 -*-
+################################################################################
+#     featurewiz - advanced feature engineering and best features selection in single line of code
+#     Python v3.6+
+#     Created by Ram Seshadri
+#     Licensed under Apache License v2
+################################################################################
+# Version
+from .__version__ import __version__
+from .featurewiz import featurewiz, FE_convert_all_object_columns_to_numeric
+from .featurewiz import FE_split_one_field_into_many, FE_add_groupby_features_aggregated_to_dataframe
+from .featurewiz import FE_create_time_series_features, FE_start_end_date_time_features
+from .featurewiz import FE_remove_variables_using_SULOV_method, classify_features
+from .featurewiz import classify_columns,FE_combine_rare_categories
+from .featurewiz import FE_count_rows_for_all_columns_by_group
+from .featurewiz import FE_add_age_by_date_col, FE_split_add_column, FE_get_latest_values_based_on_date_column
+from .featurewiz import FE_capping_outliers_beyond_IQR_Range, My_LabelEncoder, My_Groupby_Encoder
+from .featurewiz import EDA_classify_and_return_cols_by_type, EDA_classify_features_for_deep_learning
+from .featurewiz import FE_create_categorical_feature_crosses, EDA_find_skewed_variables
+from .featurewiz import FE_kmeans_resampler, FE_find_and_cap_outliers, EDA_find_outliers
+from .featurewiz import split_data_n_ways, FE_concatenate_multiple_columns
+from .featurewiz import simple_XGBoost_model, FE_discretize_numeric_variables, data_transform
+from .featurewiz import FE_transform_numeric_columns, FE_create_interaction_vars
+from .stacking_models import Stacking_Classifier, Blending_Regressor
+from .featurewiz import EDA_binning_numeric_column_displaying_bins, FE_add_lagged_targets_by_date_category
+from .featurewiz import NLP_Pipeline, FE_convert_mixed_datatypes_to_string
+################################################################################
+if __name__ == "__main__":
+    module_type = 'Running'
+else:
+    module_type = 'Imported'
+version_number = __version__
+print("""%s featurewiz: advanced feature engg and selection library. Version=%s
+output = featurewiz(dataname, target, corr_limit=0.70,
+                    verbose=2, sep=',', header=0, test_data='',
+                    feature_engg='', category_encoders='')
+Create new features via 'feature_engg' flag : ['interactions','groupby','target']
+                                """ %(module_type, version_number))
+################################################################################

build/lib/featurewiz/__version__.py

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+# -*- coding: utf-8 -*-
+"""Specifies the version of the featurewiz package."""
+
+__title__ = "featurewiz"
+__author__ = "Ram Seshadri"
+__description__ = "Advanced Feature Engineering and Feature Selection for any data set, any size"
+__url__ = "https://github.com/Auto_ViML/featurewiz.git"
+__version__ = "0.0.37"
+__license__ = "Apache License 2.0"
+__copyright__ = "2020-21 Google"