Python 在熊猫中组合列以创建新列
我有下面的数据,希望将下面的列组合成一个新的列,它是二进制的,no=0,yes=1。我想合并到新列中的功能包括: 有没有告诉过你有充血性心力衰竭,有没有告诉过你有冠心病, 有没有告诉过你有心绞痛/心绞痛,有没有告诉过你心脏病发作,有没有告诉过你中风Python 在熊猫中组合列以创建新列,python,pandas,machine-learning,binary,classification,Python,Pandas,Machine Learning,Binary,Classification,我有下面的数据,希望将下面的列组合成一个新的列,它是二进制的,no=0,yes=1。我想合并到新列中的功能包括: 有没有告诉过你有充血性心力衰竭,有没有告诉过你有冠心病, 有没有告诉过你有心绞痛/心绞痛,有没有告诉过你心脏病发作,有没有告诉过你中风 Age in years at screening 15881 non-null float64 Race/Hispanic origin 15881 non-null
Age in years at screening 15881 non-null float64
Race/Hispanic origin 15881 non-null object
Ratio of family income to poverty 15881 non-null float64
Gender 15881 non-null object
year 15881 non-null object
60 sec. pulse (30 sec. pulse * 2) 15881 non-null float64
Weight (kg) 15881 non-null float64
Standing Height (cm) 15881 non-null float64
Waist Circumference (cm) 15881 non-null float64
Arm Circumference (cm) 15881 non-null float64
Ever told had congestive heart failure 15881 non-null object
Ever told you had coronary heart disease 15881 non-null object
Ever told you had angina/angina pectoris 15881 non-null object
Ever told you had heart attack 15881 non-null object
Ever told you had a stroke 15881 non-null object
Do you now smoke cigarettes? 15881 non-null object
Doctor told you have diabetes 15881 non-null object
How often drink alcohol over past 12 mos 15881 non-null float64
Sodium (mmol/L) 15881 non-null float64
Cholesterol, refrigerated serum (mg/dL) 15881 non-null float64
avg_systolic_blood_pres 15881 non-null float64
avg_diastolic_blood_pres 15881 non-null float64
我还担心最终可能会得到比原始数据集更多的数据(15881行,22列)如果要创建一个返回“true”的新列(如果其中任何列有“1”),可以执行以下操作:
df = pd.DataFrame({'congestive': np.random.randint(2, size=10),
'coronary': np.random.randint(2, size=10)})
df['new'] = (df['congestive'] == 1) | (df['coronary'] == 1)
有关将真/假更改为1/0的信息,请参阅。假设您的数据是这种格式(表是转置的,零是虚拟变量) 您可以指定感兴趣的问题并对其进行操作
questions=[“有没有告诉过你患有充血性心力衰竭”,
“有没有告诉过你有冠心病?”,
“有没有告诉过你有心绞痛/心绞痛”,
“你说过你心脏病发作了吗?”,
“你说过你中风了吗?”
df[“Ever\u telled\u combined”]=df[问题].apply(lambda行:np.logical\u或.reduce(行),axis=1)
这会将列“Ever\u tell\u combined”添加到数据帧中
15881 True
15882 False
15883 True
dtype: bool
15881 15882 15883
Q
Age_in_years_at_screening 0 0 0
Race/Hispanic_origin 0 0 0
Ratio_of_family_income_to_poverty 0 0 0
Gender 0 0 0
year 0 0 0
60_sec._pulse_(30_sec._pulse_*_2) 0 0 0
Weight_(kg) 0 0 0
Standing_Height_(cm) 0 0 0
Waist_Circumference_(cm) 0 0 0
Arm_Circumference_(cm) 0 0 0
Ever_told_had_congestive_heart_failure False False False
Ever_told_you_had_coronary_heart_disease True False False
Ever_told_you_had_angina/angina_pectoris True False True
Ever_told_you_had_heart_attack True False True
Ever_told_you_had_a_stroke True False True
Do_you_now_smoke_cigarettes? 0 0 0
Doctor_told_you_have_diabetes 0 0 0
How_often_drink_alcohol_over_past_12_mos 0 0 0
Sodium_(mmol/L) 0 0 0
Cholesterol_refrigerated_serum_(mg/dL) 0 0 0
avg_systolic_blood_pres 0 0 0
avg_diastolic_blood_pres 0 0 0
15881 True
15882 False
15883 True
dtype: bool