Question

我正在尝试使用系数在数据中创建一个新列。

（这些系数的计算方法是通过函数f_coef和v_coef）

最后，我尝试了两种不同的方法，但是没有一种起作用。

我不知道如何解决它，我已经找了一段时间，但没有找到答案。

错误：

runfile('C:/Users/Usuario/Desktop/TFM/Task 1/TAS 3.py', wdir='C:/Users/Usuario/Desktop/TFM/Task 1')
Traceback (most recent call last):

  File "<ipython-input-1-fc41d9ffae87>", line 1, in <module>
    runfile('C:/Users/Usuario/Desktop/TFM/Task 1/TAS 3.py', wdir='C:/Users/Usuario/Desktop/TFM/Task 1')

  File "C:\Users\Usuario\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 786, in runfile
    execfile(filename, namespace)

  File "C:\Users\Usuario\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/Usuario/Desktop/TFM/Task 1/TAS 3.py", line 70, in <module>
    table['Fcoef']=f_coef(table['Mfx'],table['X'],table['Press'])

  File "C:/Users/Usuario/Desktop/TFM/Task 1/TAS 3.py", line 43, in f_coef
    water=IAPWS95(P=Press, x=0) # To get density of the liquid

  File "C:\Users\Usuario\Anaconda3\lib\site-packages\iapws\iapws95.py", line 396, in __init__
    self.__call__(**kwargs)

  File "C:\Users\Usuario\Anaconda3\lib\site-packages\iapws\iapws95.py", line 412, in __call__
    if self.calculable:

  File "C:\Users\Usuario\Anaconda3\lib\site-packages\iapws\iapws95.py", line 447, in calculable
    elif self.kwargs["P"] and self.kwargs["rho"]:

  File "C:\Users\Usuario\Anaconda3\lib\site-packages\pandas\core\generic.py", line 1478, in __nonzero__
    .format(self.__class__.__name__))

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

我的代码：

import pandas as pd
import matplotlib.pyplot as plt
import math
import numpy as np
import scipy.stats as stats

from iapws import IAPWS95 

table = pd.read_csv('table_tidy.csv', sep = ',', header = 0)

D=8*10**-3


table=table.loc[table.X <= 0.15 ,:]          
table=table.loc[table.Press > 6.89475728,:]       
table=table.loc[table.Press < 15.857941744,:]       
table=table.loc[table.Mfx<6781.1545,:]           
table=table.loc[table.Mfx>1356.2309,:]        

table=table.loc[table.flag == 'white',:]



def f_coef(Mflux,X,Press):

    water=0
    r=0
    water=IAPWS95(P=Press, x=0) # To get density of the liquid 
    Fcoef=0
    r=water.rho
    Fcoef=((Mflux*(1-X))**2)/r

    return Fcoef

def v_coef(Mflux,X,Press):

    water=0
    r=0
    water=IAPWS95(P=Press, x=1) # To get density of the vapor 
    Vcoef=0
    r=water.rho
    Vcoef=((Mflux*(X))**2)/r

    return Vcoef

def coefs(data):

    data['Fcoef']=f_coef(data['Mfx'],data['X'],data['Press'])
    data['Vcoef']=v_coef(data['Mfx'],data['X'],data['Press'])
    return data

table = coefs(table) #first way   

table['Fcoef']=f_coef(table['Mfx'],table['X'],table['Press']) #second way

熊猫错误和包装功能

0 个答案: