mstz commited on
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af160bd
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1 Parent(s): 4ce4e67

Upload heart.py

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Files changed (1) hide show
  1. heart.py +11 -10
heart.py CHANGED
@@ -184,25 +184,26 @@ class Heart(datasets.GeneratorBasedBuilder):
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  data = data.infer_objects()
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  for f in data.columns:
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  if "?" in data[f].values:
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  print(f)
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- data = data["resting_blood_pressure" != "?"]
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- data = data["fasting_blood_sugar" != "?"]
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- data = data["rest_electrocardiographic_type" != "?"]
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- data = data["maximum_heart_rate" != "?"]
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- data = data["has_exercise_induced_angina" != "?"]
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  data = data.astype({"is_male": bool, "has_exercise_induced_angina": bool,
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  "serum_cholesterol": float, "maximum_heart_rate": float,
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  "resting_blood_pressure": float, "fasting_blood_sugar": float})
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  else:
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  data = data[data.thal != "?"]
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  data = data[data.number_of_major_vessels_colored_by_flourosopy != "?"]
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- data = data["resting_blood_pressure" != "?"]
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- data = data["fasting_blood_sugar" != "?"]
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- data = data["rest_electrocardiographic_type" != "?"]
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- data = data["maximum_heart_rate" != "?"]
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- data = data["has_exercise_induced_angina" != "?"]
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  for f in data.columns:
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  if "?" in data[f].values:
 
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  data = data.infer_objects()
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+ data = data[data.resting_blood_pressure != "?"]
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+ data = data[data.fasting_blood_sugar != "?"]
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+ data = data[data.rest_electrocardiographic_type != "?"]
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+ data = data[data.maximum_heart_rate != "?"]
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+ data = data[data.has_exercise_induced_angina != "?"]
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+
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  for f in data.columns:
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  if "?" in data[f].values:
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  print(f)
 
 
 
 
 
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  data = data.astype({"is_male": bool, "has_exercise_induced_angina": bool,
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  "serum_cholesterol": float, "maximum_heart_rate": float,
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  "resting_blood_pressure": float, "fasting_blood_sugar": float})
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  else:
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  data = data[data.thal != "?"]
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  data = data[data.number_of_major_vessels_colored_by_flourosopy != "?"]
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+ data = data[data.resting_blood_pressure != "?"]
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+ data = data[data.fasting_blood_sugar != "?"]
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+ data = data[data.rest_electrocardiographic_type != "?"]
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+ data = data[data.maximum_heart_rate != "?"]
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+ data = data[data.has_exercise_induced_angina != "?"]
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  for f in data.columns:
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  if "?" in data[f].values: