我在名为RateMatrix1的Excel文件中存储了不同的模型和initialValues。我的模型是WIN,WSW,WPA,WFR ......我的initialValues是WI,WS,WP,WF ......而且Excel上的工作表都是这样命名的。
现在,我想编写一个函数,它使用模型的名称和initialValues作为下面的“sheetnames”。我想知道是否有办法在python中这样做。
import pandas as pd
import numpy as np
def MLA(model, initialValues)
RMatrix=(pd.read_excel("C:\Anaconda3\RateMatrix1.xlsx", sheetname="model", skiprows=0)).as_matrix() #read the matrix values from excel spreadsheet, and converts the values to a matrix
initialAmount = (pd.read_excel("C:\Anaconda3\RateMatrix1.xlsx", sheetname="initialValues", skiprows=0)).as_matrix() #read the column matrix (initial values) from excel spreadsheet, and converts the values to a matrix
return np.dot(RMatrix,initialAmount)
print(MLA(WIN,WI))
非常感谢你的帮助。
答案 0 :(得分:0)
没关系......我找到了解决方案。
对于其他想要做同样事情的人,这是我的代码:
import pandas as pd
import numpy as np
def MLA(model, initialValues)
RMatrix=(pd.read_excel("C:\Anaconda3\RateMatrix1.xlsx", sheetname=model, skiprows=0)).as_matrix() #read the matrix values from excel spreadsheet, and converts the values to a matrix
initialAmount = (pd.read_excel("C:\Anaconda3\RateMatrix1.xlsx", sheetname=initialValues, skiprows=0)).as_matrix() #read the column matrix (initial values) from excel spreadsheet, and converts the values to a matrix
return np.dot(RMatrix,initialAmount)
print(MLA("WIN","WI"))