如何解决Python计算Debye_A时报错TypeError: can't multiply sequence by non-int of type 'float'
错误原因
- 你定义的
Temp_是Python原生列表类型,原生列表不支持和浮点数直接做逐元素的算术运算,也不支持直接传入math.log这类仅接受单值参数的数学函数中:- 原生列表和数字相乘仅当数字为整数时会返回重复对应次数的新列表,乘以浮点数就会触发你遇到的
TypeError: can't multiply sequence by non-int of type 'float'错误 math.log仅支持传入单个数值参数,传入列表也会触发参数类型错误
- 原生列表和数字相乘仅当数字为整数时会返回重复对应次数的新列表,乘以浮点数就会触发你遇到的
解决方法
方法1:使用numpy实现向量化运算(推荐)
转换为numpy数组后支持批量逐元素运算,修改后代码如下:
import numpy as np # 温度列表 Temp_ = [274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523] # 转换为numpy数组 Temp_arr = np.array(Temp_) # 批量计算Debye_A Debye_A = 3.3690e-01 - 6.3210e-04*Temp_arr + (9.1425/Temp_arr) - (1.3514e-02*np.log(Temp_arr)) + (2.2609e-03/(Temp_arr-263)) + (1.9212e-06*(Temp_arr**2)) + (45.2586/(680-Temp_arr))
方法2:使用循环逐个计算(无需额外依赖)
如果不想安装numpy,也可以通过循环遍历每个温度值单独计算:
import math as mt Temp_ = [274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523] Debye_A = [] for T in Temp_: val = 3.3690e-01 - 6.3210e-04*T + (9.1425/T) - (1.3514e-02*mt.log(T)) + (2.2609e-03/(T-263)) + (1.9212e-06*(T**2)) + (45.2586/(680-T)) Debye_A.append(val)
内容的提问来源于stack exchange,提问作者Ayodeji001
相关产品推荐
相关产品推荐

