Question

df['class'] = np.where(((df['heart rate'] > 50) & (df['heart rate'] < 101 )) & ((df['systolic blood pressure'] > 140 & df['systolic blood pressure'] < 160)) & 
   ((df['dyastolic blood pressure'] > 90 & ['dyastolic blood pressure'] < 100 )) & ((df['temperature'] > 35 & df['temperature'] < 39 )) & 
   ((df['respiratory rate'] >11 & df ['respiratory rate'] <19)) & ((df['pulse oximetry' > 95] & df['pulse oximetry' < 100] )), "excellent", "critical")

对于这段代码，我得到了：

ValueError：系列的真值是不明确的。使用a.empty，a.bool（），a.item（），a.any（）或a.all（）。

Answer 1

也许这会解决你（我们）的问题。

import random
import pandas as pd
import numpy as np
heart_rate = [random.randrange(45, 125) for _ in range(500)]
blood_pressure_systolic = [random.randrange(140, 230) for _ in range(500)]
blood_pressure_dyastolic = [random.randrange(90, 140) for _ in range(500)]
temperature = [random.randrange(34, 42) for _ in range(500)]
respiratory_rate = [random.randrange(8, 35) for _ in range(500)]
pulse_oximetry = [random.randrange(95, 100) for _ in range(500)]

vitalsign = {
    'heart rate' : heart_rate,
    'systolic blood pressure' : blood_pressure_systolic,
    'dyastolic blood pressure' : blood_pressure_dyastolic,
    'temperature' : temperature,
    'respiratory rate' : respiratory_rate,
    'pulse oximetry' : pulse_oximetry
}

vitalsign_maxima = {
    'heart rate' : (50,101),
    'systolic blood pressure' : (140,160),
    'dyastolic blood pressure' : (90,100),
    'temperature' : (35,39),
    'respiratory rate' : (11,19),
    'pulse oximetry' : (95,100)
}

def is_vitalsign_excellent(name):
    lower, upper = vitalsign_maxima[name]
    return (lower < df[name]) & (df[name] < upper)

df = pd.DataFrame(vitalsign)

f = np.where(is_vitalsign_excellent('heart rate') &
            is_vitalsign_excellent('systolic blood pressure') &
            is_vitalsign_excellent('dyastolic blood pressure') &
            is_vitalsign_excellent('temperature') &
            is_vitalsign_excellent('respiratory rate') &
            is_vitalsign_excellent('pulse oximetry'),"excellent", "critical")

这个应该现在可以使用。

系列的真值是模棱两可的

1 个答案: