Datasets:
Upload speeddating.py
Browse files- speeddating.py +58 -0
speeddating.py
CHANGED
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@@ -213,6 +213,64 @@ class Speeddating(datasets.GeneratorBasedBuilder):
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data.drop("has_null", axis="columns", inplace=True)
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data.drop("field", axis="columns", inplace=True)
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data = data[data.age != "?"]
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data = data[data.importance_same_race != "?"]
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data.drop("has_null", axis="columns", inplace=True)
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data.drop("field", axis="columns", inplace=True)
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data.drop("wave", axis="columns", inplace=True)
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data.drop("wave", axis="columns", inplace=True)
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data.drop("d_age", axis="columns", inplace=True)
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data.drop("d_d_age", axis="columns", inplace=True)
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data.drop("d_importance_same_race", axis="columns", inplace=True)
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data.drop("d_importance_same_religion", axis="columns", inplace=True)
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data.drop("d_pref_o_attractive", axis="columns", inplace=True)
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data.drop("d_pref_o_sincere", axis="columns", inplace=True)
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data.drop("d_pref_o_intelligence", axis="columns", inplace=True)
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data.drop("d_pref_o_funny", axis="columns", inplace=True)
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data.drop("d_pref_o_ambitious", axis="columns", inplace=True)
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data.drop("d_pref_o_shared_interests", axis="columns", inplace=True)
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data.drop("d_attractive_o", axis="columns", inplace=True)
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data.drop("d_sinsere_o", axis="columns", inplace=True)
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data.drop("d_intelligence_o", axis="columns", inplace=True)
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data.drop("d_funny_o", axis="columns", inplace=True)
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data.drop("d_ambitous_o", axis="columns", inplace=True)
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data.drop("d_shared_interests_o", axis="columns", inplace=True)
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data.drop("d_attractive_important", axis="columns", inplace=True)
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data.drop("d_sincere_important", axis="columns", inplace=True)
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data.drop("d_intellicence_important", axis="columns", inplace=True)
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data.drop("d_funny_important", axis="columns", inplace=True)
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data.drop("d_ambtition_important", axis="columns", inplace=True)
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data.drop("d_shared_interests_important", axis="columns", inplace=True)
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data.drop("d_attractive", axis="columns", inplace=True)
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data.drop("d_sincere", axis="columns", inplace=True)
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data.drop("d_intelligence", axis="columns", inplace=True)
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data.drop("d_funny", axis="columns", inplace=True)
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data.drop("d_ambition", axis="columns", inplace=True)
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data.drop("d_attractive_partner", axis="columns", inplace=True)
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data.drop("d_sincere_partner", axis="columns", inplace=True)
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data.drop("d_intelligence_partner", axis="columns", inplace=True)
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data.drop("d_funny_partner", axis="columns", inplace=True)
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data.drop("d_ambition_partner", axis="columns", inplace=True)
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data.drop("d_shared_interests_partner", axis="columns", inplace=True)
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data.drop("d_sports", axis="columns", inplace=True)
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data.drop("d_tvsports", axis="columns", inplace=True)
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data.drop("d_exercise", axis="columns", inplace=True)
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data.drop("d_dining", axis="columns", inplace=True)
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data.drop("d_museums", axis="columns", inplace=True)
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data.drop("d_art", axis="columns", inplace=True)
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data.drop("d_hiking", axis="columns", inplace=True)
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data.drop("d_gaming", axis="columns", inplace=True)
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data.drop("d_clubbing", axis="columns", inplace=True)
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data.drop("d_reading", axis="columns", inplace=True)
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data.drop("d_tv", axis="columns", inplace=True)
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data.drop("d_theater", axis="columns", inplace=True)
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data.drop("d_movies", axis="columns", inplace=True)
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data.drop("d_concerts", axis="columns", inplace=True)
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data.drop("d_music", axis="columns", inplace=True)
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data.drop("d_shopping", axis="columns", inplace=True)
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data.drop("d_yoga", axis="columns", inplace=True)
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data.drop("d_interests_correlate", axis="columns", inplace=True)
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data.drop("d_expected_happy_with_sd_people", axis="columns", inplace=True)
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data.drop("d_expected_num_interested_in_me", axis="columns", inplace=True)
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data.drop("d_expected_num_matches", axis="columns", inplace=True)
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data.drop("d_like", axis="columns", inplace=True)
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data.drop("d_guess_prob_liked" axis="columns", inplace=True)
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data = data[data.age != "?"]
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data = data[data.importance_same_race != "?"]
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