Patientname,covidnegative
Raju,True
Meena,False
Happy,True
……,……

#包括所需库
import pandas as pd
import numpy as np

#需要此库来制作散点图
import plotly.express as pxx

#读取csv文件并创建dataframe
dff = pd.read_csv("data.csv")

#打印列和数据，绘制散点图
figg = pxx.scatter(dff, x="patientname", y="covidnegative")

#设置散点图的属性
figg.update_traces(marker=dict(size=12, line=dict(width=2, color="blue")), selector=dict(mode='markers'))

#显示图表
figg.show()
covidstatus=dff["covidnegative"]
arr = covidstatus.to_numpy()

#print(arr)
arr_inver = np.invert(arr)

#print(arr_inver)
dff['covidpositive'] = arr_inver.tolist()

#print(dff)
#制作散点图
figg = pxx.scatter(dff, x="patientname", y="covidpositive")

#设置散点图的属性
figg.update_traces(marker=dict(size=12, line=dict(width=2, color="red")), selector=dict(mode='markers'))

#显示图表
figg.show() 

#包含所需的库
import pandas as pd
import numpy as npp

#读取csv文件并创建数据框
dff = pd.read_csv("data.csv")
print("\n数据框显示CSV文件中的布尔值列")
print(dff)
covidstatus=dff["covidnegative"]
arr01 = covidstatus.to_numpy()
print("\nCSV中的布尔列作为数组：")
print(arr01)
inverted_arr01 = ~npp.array(arr01, dtype=bool)
print("\nCSV中的布尔列作为反转数组：")
print(inverted_arr01)
dff['covidpositive'] = inverted_arr01.tolist()
print("\n添加了反转列的新数据框：")
print(dff) 

#包含所需的库
import pandas as pd
import numpy as npp

#读取csv文件并创建数据框
dff = pd.read_csv("data.csv")
covidstatus=dff["covidnegative"]
arr01 = covidstatus.to_numpy()
print("\n给定布尔数组：", arr01)
arr_inver = npp.logical_not(arr01)
print("\n反转的布尔数组：", arr_inver)
dff['covidpositive'] = arr_inver.tolist()

#print(dff) 

#导入所需的库
import csv

#打开文件并读取
with open('data.csv', 'r') as file:
    reader = csv.DictReader(file)
    covidstatus=[]
    #将CSV中的布尔列值附加到一个数组中
    for row in reader:
        covidstatus.append(row['covidnegative'])

#定义函数：翻转true和false
def reverse_bool(value):
    if value=='True':
        return 'False'
    else:
        return 'True'

#将嵌套的列表转换为简单列表
covidstatus=[x for xs in covidstatus for x in xs.split(',')]

#使用map函数反转布尔数组并将其打印
inverted_covidstatus=list(map(reverse_bool, covidstatus))
print("\n翻转后的布尔数组：")
print(inverted_covidstatus) 

invertbool3.py
# 导入模块
import csv

# 以只读模式打开文件
filename01 = open('data.csv', 'r')

# 创建 DictReader 对象
file01 = csv.DictReader(filename01)

# 创建空列表
covidstatus = []
name=[]

# 定义反转布尔值的函数
def reverse_bool(status):
   if status == "True":
      return "False"
   elif status == "False":
      return "True"

# 遍历每一行并将值添加到空列表
print('\n从 data.csv 文件的列中构造数组')
for col in file01:
   covidstatus.append(col['covidnegative'])
   name.append(col['patientname'])

# 输出列表
print('\n患者姓名：',name)
print('\nCovid 阴性状态：', covidstatus)

# 反转二进制数组
print('\n从 data.csv 文件的列中反转布尔数组')
resultbool = list(map(reverse_bool, covidstatus))
print('\nCovid 阴性状态：', covidstatus)
print('\nCovid 阳性状态：', resultbool)