为了避免浮点数精度问题带来的错误,我们可以使用以下方法来判断float是否为空: 将浮点数转换为字符串,然后去除多余的0。 判断去除多余0后的字符串是否为"0"。 下面是一个示例代码: defis_float_empty(num):num_str=str(num).rstrip('0').rstrip('.')returnnum_str=="0"num=0.0000001ifis_float_empty(num...
importmathdefcheck_float(value):ifvalue==value:print("The float value is not empty")else:print("The float value is empty")defcheck_float_math(value):ifmath.isnan(value):print("The float value is empty")else:print("The float value is not empty")# 检查一个非空的float值a=3.14check_fl...
Checkifa numericvalue(int,float,etc.)is effectively zero.Args:-num:The numeric value to check.-tolerance:The tolerance levelforfloating-point comparisons.Returns:-bool:Trueifnum is effectively zero,False otherwise."""ifisinstance(num,int):# Integer checkreturnnum==0elifisinstance(num,float):# F...
经过一些搜索,发现NumPy提供一个相对更高精度的数值类型numpy.float128()(或者numpy.longdouble(), numpy.longfloat()),根据字面意思就是128位精度的浮点数。经过测试,它的精度确实比64位“稍高”,如下图所示,可以看到,使用了numpy.float128()之后,输出的结果更加接近真实值0.3。 这会导致什么问题?在大多数情况...
4 float(x ) 将x转换到一个浮点数 5 complex(real [,imag ]) 创建一个复数 6 str(x ) 将对象 x 转换为字符串 7 repr(x ) 将对象 x 转换为表达式字符串 8 eval(str ) 用来计算在字符串中的有效Python表达式,并返回一个对象 9 tuple(s ) 将序列 s 转换为一个元组 ...
import expfrom math import logimport numpy# invert box-cox transformdef boxcox_inverse(value, lam):if lam == 0:return exp(value)return exp(log(lam * value + 1) / lam)# load and prepare datasetsdataset = Series.from_csv('dataset.csv')X = dataset.values.astype('float...
class CoffeeShop:specialty = 'espresso'def __init__(self, coffee_price):self.coffee_price = coffee_price# instance methoddef make_coffee(self):print(f'Making {self.specialty}for ${self.coffee_price}')# static method @staticmethoddef check_weather():print('Its sunny') # class method@...
total *= numberreturntotalif__name__ =='__main__': multiply({"10","20"}) 结果如下: $ mypy main.py main.py:9: error: Incompatible typesinassignment (expression hastype"float", variable hastype"int") main.py:14: error: Argument1to"multiply"has incompatibletype"Set[str]"; expected...
print(int(False)) # 0 print(float(True)) # 1.0 ▍44、在算术运算中使用布尔值 x = 10 y = 12 result = (x - False)/(y * True) print(result) # 0.8333333333333334 ▍45、将任何数据类型转换为布尔值 print(bool(.0)) # False print(bool(3)) # True print(bool("-")) # True print(...
''' AIM -> Changing dtypes to save memory INPUT -> List of column names (int, float), df OUTPUT -> updated df with smaller memory --- ''' df[col_int] = df[col_int].astype('int32') df[col_float] = df[col_float].astype('float32')将分类变量转换为...