Python-VBA函数之旅-float函数

1、float函数：

1-1、Python：

1-2、VBA：

2、相关文章：

个人主页：https://blog.csdn.net/ygb_1024?spm=1010.2135.3001.5421

float函数在 Python 中的实际应用场景非常广泛，几乎涉及到任何需要处理浮点数数据的场景。常见的应用场景有：

1、数学运算：当你需要执行涉及浮点数的数学运算时，float()函数非常有用。例如，计算平均值、百分比、比率等通常需要浮点数。

2、数据处理与清洗：在数据处理和清洗过程中，经常需要将从文件、数据库或用户输入中读取的字符串形式的数字转换为浮点数。

3、图形和可视化：在创建图形、图表或进行可视化时，float()函数常用于确保坐标、大小或其他数值参数是浮点数类型。

4、货币计算和金融分析：尽管货币计算通常使用decimal模块以确保精度，但在某些情况下，你可能仍然需要将货币值转换为浮点数进行快速计算或与其他系统交互。

5、科学研究与计算：在科学研究领域，尤其是物理、化学、生物学等领域，经常需要进行精确的数学计算，这些计算往往涉及浮点数。

6、机器学习和数据分析：在机器学习和数据分析中，特征值和目标变量通常是浮点数。处理这些数据时，float()函数可以帮助确保数据类型的一致性。

7、与外部库和API交互：许多外部库和API要求输入为特定类型，特别是当处理数字数据时。使用 float()可以确保你的数据符合这些要求。

8、传感器数据和物联网：在处理来自传感器或物联网设备的数据时，这些数据通常以字符串形式提供，并且需要转换为浮点数以进行进一步的分析和处理。

总之，任何需要将其他数据类型转换为浮点数以便进行数学运算或满足特定函数和库要求的情况，都可以使用float()函数。

1、float函数：

1-1、Python：

# 1.函数：float
# 2.功能：用于将整数和字符串转换为浮点数
# 3.语法：float(x)
# 4.参数：x 整数或字符串
# 5.返回值：返回浮点数；如果参数x未提供，则返回0.0
# 6.说明：
# 6-1、如果float()函数的参数x是一个字符串，则参数x应该是一个十进制数字的字符串表示形式，即参数x必须是能正确转换成浮点型数值的形式，否则会报ValueError错误：
#      ValueError: could not convert string to float: '0b1101'
#      print(float('0b1101'))
# 7.示例：
# 应用1：数学运算
values = [1, 2, 3, 4, 5]
sum_of_values = sum(values)
count = len(values)
average = float(sum_of_values) / count
print(average)
# 3.0# 应用2：数据处理与清洗
# 从字符串读取数字并转换为浮点数
data = "3.14, 2.71, 6.02"
numbers = data.split(", ")
floats = [float(num) for num in numbers]
print(floats)
# [3.14, 2.71, 6.02]# 应用3：图形和可视化
# import matplotlib.pyplot as plt
# # 创建数据点
# x = [1, 2, 3, 4, 5]
# y = ["1.0", "2.5", "3.1", "4.2", "5.0"]
# # 将y转换为浮点数列表
# y_float = [float(yi) for yi in y]
# # 绘制折线图
# plt.plot(x, y_float)
# plt.show()# 应用4：货币计算和金融分析
# 将货币字符串转换为浮点数
currency_str = "123.45"
currency_float = float(currency_str)
# 进行一些计算，例如计算税率
tax_rate = 0.10
tax = currency_float * tax_rate
print(f"税款是 {tax}")
# 税款是 12.345# 应用5：科学研究与计算
# 假设我们有一个科学实验中测得的数据集
data_strings = ["1.2345", "2.3456", "3.4567"]
# 将字符串转换为浮点数并计算平均值
data_floats = [float(data) for data in data_strings]
average = sum(data_floats) / len(data_floats)
print(f"数据的平均值为: {average}")
# 数据的平均值为: 2.3455999999999997# 应用6：机器学习和数据分析
# 假设我们从某个数据源获取了特征和目标变量
features_str = ["0.1", "0.2", "0.3"]
targets_str = ["1.0", "0.0", "1.0"]
# 将字符串转换为浮点数
features_float = [float(feature) for feature in features_str]
targets_float = [float(target) for target in targets_str]
print(features_float)
print(targets_float)
# [0.1, 0.2, 0.3]
# [1.0, 0.0, 1.0]# 应用7：与外部库和API交互
# 使用外部库进行计算，需要浮点数输入
import math
radius = input("请输入圆的半径: ")
radius_float = float(radius)
area = math.pi * radius_float ** 2
print(f"圆的面积是: {area}")
# 请输入圆的半径: 5
# 圆的面积是: 78.53981633974483# 应用8：处理特殊浮点数值
# 正无穷大
positive_infinity = float('inf')
print(positive_infinity > 1e308)
# 负无穷大
negative_infinity = float('-inf')
print(negative_infinity < -1e308)
# 非数字(NaN)
not_a_number = float('nan')
print(not_a_number == not_a_number)  # 输出: False，因为NaN不等于任何值，包括它自己
# True
# True
# False# 应用9：传感器数据和物联网
import random
import time
class Sensor:def get_temperature(self):"""模拟从传感器获取温度数据"""# 在这里，我们使用随机数来模拟温度数据# 在实际应用中，你将从真实的传感器硬件读取数据return random.uniform(20.0, 30.0)
class IoTPlatform:def send_data(self, data):"""模拟将数据发送到物联网平台"""print(f"Sending data to IoT platform: {data}")
# 在实际应用中，你将使用API或其他方法将数据发送到真实的物联网平台
def main():sensor = Sensor()iot_platform = IoTPlatform()while True:# 从传感器获取温度数据temperature = sensor.get_temperature()# 处理数据（在这个例子中，我们只是简单地打印它）print(f"Sensor data: {temperature}°C")# 将数据发送到物联网平台iot_platform.send_data(temperature)# 等待一段时间再次读取数据（例如，每秒读取一次）time.sleep(1)
if __name__ == "__main__":main()
# Sensor data: 24.35495124775737°C
# Sending data to IoT platform: 24.35495124775737
# Sensor data: 28.555489228660974°C
# Sending data to IoT platform: 28.555489228660974
# Sensor data: 26.19175109694158°C
# Sending data to IoT platform: 26.19175109694158
# Sensor data: 23.442842394488252°C
# Sending data to IoT platform: 23.442842394488252
# Sensor data: 23.305392333104482°C
# Sending data to IoT platform: 23.305392333104482
# Sensor data: 28.318920293397788°C
# Sending data to IoT platform: 28.318920293397788
# Sensor data: 23.241318381210696°C
# Sending data to IoT platform: 23.241318381210696
# Sensor data: 22.93194419578242°C
# Sending data to IoT platform: 22.93194419578242
# Sensor data: 29.633611786850796°C
# Sending data to IoT platform: 29.633611786850796
# Sensor data: 28.789525652001835°C
# Sending data to IoT platform: 28.789525652001835
# Sensor data: 25.842904627594955°C
# Sending data to IoT platform: 25.842904627594955
# Sensor data: 25.638808282557044°C
# Sending data to IoT platform: 25.638808282557044
# Sensor data: 29.32173050465657°C
# Sending data to IoT platform: 29.32173050465657
# Sensor data: 20.165195824226277°C
# Sending data to IoT platform: 20.165195824226277
# Sensor data: 20.737832006367668°C
# Sending data to IoT platform: 20.737832006367668
# Sensor data: 23.253924015751473°C
# Sending data to IoT platform: 23.253924015751473
# Sensor data: 26.033152180188562°C
# Sending data to IoT platform: 26.033152180188562
# Sensor data: 24.672172262270546°C
# Sending data to IoT platform: 24.672172262270546
# Sensor data: 26.962446018513837°C
# Sending data to IoT platform: 26.962446018513837
# Sensor data: 25.624841852560117°C
# Sending data to IoT platform: 25.624841852560117
# Sensor data: 29.199482223621086°C
# Sending data to IoT platform: 29.199482223621086
# Sensor data: 24.938208577744142°C
# Sending data to IoT platform: 24.938208577744142
# Sensor data: 25.07537748796064°C
# Sending data to IoT platform: 25.07537748796064
# Sensor data: 25.582631737952596°C
# Sending data to IoT platform: 25.582631737952596
# Sensor data: 21.61064928872831°C
# Sending data to IoT platform: 21.61064928872831
# Sensor data: 28.000556528836086°C
# Sending data to IoT platform: 28.000556528836086
# Sensor data: 28.933697871076326°C
# Sending data to IoT platform: 28.933697871076326
# Sensor data: 29.74153889499609°C
# Sending data to IoT platform: 29.74153889499609
# Sensor data: 20.99602526908245°C
# Sending data to IoT platform: 20.99602526908245
# Sensor data: 27.63964636272862°C
# Sending data to IoT platform: 27.63964636272862
# Sensor data: 21.41344014798931°C
# Sending data to IoT platform: 21.41344014798931
# Sensor data: 26.64427259178116°C
# Sending data to IoT platform: 26.64427259178116
# Sensor data: 24.152113173007525°C
# Sending data to IoT platform: 24.152113173007525
# Sensor data: 26.14512555533888°C
# Sending data to IoT platform: 26.14512555533888
# Sensor data: 25.971064930704543°C
# Sending data to IoT platform: 25.971064930704543
# Sensor data: 24.002933526454864°C
# Sending data to IoT platform: 24.002933526454864
# Sensor data: 26.077168612363753°C
# Sending data to IoT platform: 26.077168612363753
# Sensor data: 20.005298691687234°C
# Sending data to IoT platform: 20.005298691687234
# Sensor data: 27.461037061526184°C
# Sending data to IoT platform: 27.461037061526184
# Sensor data: 29.799532289131108°C
# Sending data to IoT platform: 29.799532289131108
# Sensor data: 21.17595165361092°C
# Sending data to IoT platform: 21.17595165361092
# Sensor data: 26.913967154058682°C
# Sending data to IoT platform: 26.913967154058682
# Sensor data: 21.580229758211587°C
# Sending data to IoT platform: 21.580229758211587
# Sensor data: 23.072731413594248°C
# Sending data to IoT platform: 23.072731413594248
# Sensor data: 29.28654951908315°C
# Sending data to IoT platform: 29.28654951908315
# Sensor data: 20.907595373780616°C
# Sending data to IoT platform: 20.907595373780616
# Sensor data: 25.894732235004494°C
# Sending data to IoT platform: 25.894732235004494
# Sensor data: 24.4413952471027°C
# Sending data to IoT platform: 24.4413952471027
# Sensor data: 25.184028057117537°C
# Sending data to IoT platform: 25.184028057117537
# Sensor data: 24.660401385577995°C
# Sending data to IoT platform: 24.660401385577995
# Sensor data: 24.64640801088878°C
# Sending data to IoT platform: 24.64640801088878
# Sensor data: 27.622157701248156°C
# Sending data to IoT platform: 27.622157701248156
# Sensor data: 23.365817094313858°C
# Sending data to IoT platform: 23.365817094313858
# Sensor data: 27.07588598861893°C
# Sending data to IoT platform: 27.07588598861893
# Sensor data: 29.92619272137349°C
# Sending data to IoT platform: 29.92619272137349
# Sensor data: 29.593069159742917°C
# Sending data to IoT platform: 29.593069159742917
# Sensor data: 22.63983821332481°C
# Sending data to IoT platform: 22.63983821332481
# Sensor data: 24.65212426204157°C
# Sending data to IoT platform: 24.65212426204157
# Sensor data: 25.30846116751177°C
# Sending data to IoT platform: 25.30846116751177
# Sensor data: 23.188759041615153°C
# Sending data to IoT platform: 23.188759041615153
# Sensor data: 21.07982492326462°C
# Sending data to IoT platform: 21.07982492326462
# Sensor data: 20.11731887149259°C
# Sending data to IoT platform: 20.11731887149259
# Sensor data: 22.473766999092575°C
# Sending data to IoT platform: 22.473766999092575
# Sensor data: 26.39400136262076°C
# Sending data to IoT platform: 26.39400136262076
# Sensor data: 28.713549876825084°C
# Sending data to IoT platform: 28.713549876825084
# Sensor data: 22.169261944188865°C
# Sending data to IoT platform: 22.169261944188865