Not able to make a class in Python and output it to excel











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I'm fairly new in Python and working in a inventory management position.
One important thing in inventory management is calculating the safety stock.



So, this is what I'm trying to achieve.



I have imported a file with 3 columns; FR, sigma and LT for 3 rows. See hereunder the code and the output:



code:



import pandas as pd
df = pd.read_excel("Desktop\TestPython4.xlsx")
xcol=["FR","sigma","LT"]
x=df[xcol].values


output:
snapshot



To calculate the safety stock, I have the following (simplified) formula of it;



CDF(FR)*sigma*sqrt(LT)


where CDF is the cumulative distribution function of the normal distribution and FR is a number between 0 and 1 (thus the well-knowned z-value is the output).



I want to output a the file with an extra column that displays the safety stock.
For this I made a class safetystock with the following code:



class Safetystock:
def __init__(self,FR,sigma,LT):
self.FR = FR
self.sigma = sigma
self.LT = LT
pass

def calculate():
SS=st.norm.ppf(FR)
return print(SS*sigma*np.sqrt(LT))
pass


Then I made the variable: "output"



Output = Safetystock(df.FR,df.sigma,df.LT)


I said that the data in the file needs to be taken into account.
Then I added a column to df, named output that needs to contain the variable "Output":



df["output"]=Output


Now, when I want to call df, it gives me this:



actual output



What am I doing wrong?



Cheers,



Steven










share|improve this question
























  • It's working exactly like should be, you are saving class instances on Dataframe as output. What do you mean by variable output? BTW pass on init? what is the reason?
    – Tzomas
    Nov 20 at 11:27










  • variable output= output per row (so 3 outputs which displays the safety stock based on the FR, sigma and LT). Pass on init: don't remember it. But even without it doesnt work
    – Steven Pauly
    Nov 20 at 15:07















up vote
1
down vote

favorite
1












I'm fairly new in Python and working in a inventory management position.
One important thing in inventory management is calculating the safety stock.



So, this is what I'm trying to achieve.



I have imported a file with 3 columns; FR, sigma and LT for 3 rows. See hereunder the code and the output:



code:



import pandas as pd
df = pd.read_excel("Desktop\TestPython4.xlsx")
xcol=["FR","sigma","LT"]
x=df[xcol].values


output:
snapshot



To calculate the safety stock, I have the following (simplified) formula of it;



CDF(FR)*sigma*sqrt(LT)


where CDF is the cumulative distribution function of the normal distribution and FR is a number between 0 and 1 (thus the well-knowned z-value is the output).



I want to output a the file with an extra column that displays the safety stock.
For this I made a class safetystock with the following code:



class Safetystock:
def __init__(self,FR,sigma,LT):
self.FR = FR
self.sigma = sigma
self.LT = LT
pass

def calculate():
SS=st.norm.ppf(FR)
return print(SS*sigma*np.sqrt(LT))
pass


Then I made the variable: "output"



Output = Safetystock(df.FR,df.sigma,df.LT)


I said that the data in the file needs to be taken into account.
Then I added a column to df, named output that needs to contain the variable "Output":



df["output"]=Output


Now, when I want to call df, it gives me this:



actual output



What am I doing wrong?



Cheers,



Steven










share|improve this question
























  • It's working exactly like should be, you are saving class instances on Dataframe as output. What do you mean by variable output? BTW pass on init? what is the reason?
    – Tzomas
    Nov 20 at 11:27










  • variable output= output per row (so 3 outputs which displays the safety stock based on the FR, sigma and LT). Pass on init: don't remember it. But even without it doesnt work
    – Steven Pauly
    Nov 20 at 15:07













up vote
1
down vote

favorite
1









up vote
1
down vote

favorite
1






1





I'm fairly new in Python and working in a inventory management position.
One important thing in inventory management is calculating the safety stock.



So, this is what I'm trying to achieve.



I have imported a file with 3 columns; FR, sigma and LT for 3 rows. See hereunder the code and the output:



code:



import pandas as pd
df = pd.read_excel("Desktop\TestPython4.xlsx")
xcol=["FR","sigma","LT"]
x=df[xcol].values


output:
snapshot



To calculate the safety stock, I have the following (simplified) formula of it;



CDF(FR)*sigma*sqrt(LT)


where CDF is the cumulative distribution function of the normal distribution and FR is a number between 0 and 1 (thus the well-knowned z-value is the output).



I want to output a the file with an extra column that displays the safety stock.
For this I made a class safetystock with the following code:



class Safetystock:
def __init__(self,FR,sigma,LT):
self.FR = FR
self.sigma = sigma
self.LT = LT
pass

def calculate():
SS=st.norm.ppf(FR)
return print(SS*sigma*np.sqrt(LT))
pass


Then I made the variable: "output"



Output = Safetystock(df.FR,df.sigma,df.LT)


I said that the data in the file needs to be taken into account.
Then I added a column to df, named output that needs to contain the variable "Output":



df["output"]=Output


Now, when I want to call df, it gives me this:



actual output



What am I doing wrong?



Cheers,



Steven










share|improve this question















I'm fairly new in Python and working in a inventory management position.
One important thing in inventory management is calculating the safety stock.



So, this is what I'm trying to achieve.



I have imported a file with 3 columns; FR, sigma and LT for 3 rows. See hereunder the code and the output:



code:



import pandas as pd
df = pd.read_excel("Desktop\TestPython4.xlsx")
xcol=["FR","sigma","LT"]
x=df[xcol].values


output:
snapshot



To calculate the safety stock, I have the following (simplified) formula of it;



CDF(FR)*sigma*sqrt(LT)


where CDF is the cumulative distribution function of the normal distribution and FR is a number between 0 and 1 (thus the well-knowned z-value is the output).



I want to output a the file with an extra column that displays the safety stock.
For this I made a class safetystock with the following code:



class Safetystock:
def __init__(self,FR,sigma,LT):
self.FR = FR
self.sigma = sigma
self.LT = LT
pass

def calculate():
SS=st.norm.ppf(FR)
return print(SS*sigma*np.sqrt(LT))
pass


Then I made the variable: "output"



Output = Safetystock(df.FR,df.sigma,df.LT)


I said that the data in the file needs to be taken into account.
Then I added a column to df, named output that needs to contain the variable "Output":



df["output"]=Output


Now, when I want to call df, it gives me this:



actual output



What am I doing wrong?



Cheers,



Steven







python-3.x inventory-management






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share|improve this question













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edited Nov 20 at 13:04









Ned

1,0821422




1,0821422










asked Nov 20 at 11:19









Steven Pauly

428




428












  • It's working exactly like should be, you are saving class instances on Dataframe as output. What do you mean by variable output? BTW pass on init? what is the reason?
    – Tzomas
    Nov 20 at 11:27










  • variable output= output per row (so 3 outputs which displays the safety stock based on the FR, sigma and LT). Pass on init: don't remember it. But even without it doesnt work
    – Steven Pauly
    Nov 20 at 15:07


















  • It's working exactly like should be, you are saving class instances on Dataframe as output. What do you mean by variable output? BTW pass on init? what is the reason?
    – Tzomas
    Nov 20 at 11:27










  • variable output= output per row (so 3 outputs which displays the safety stock based on the FR, sigma and LT). Pass on init: don't remember it. But even without it doesnt work
    – Steven Pauly
    Nov 20 at 15:07
















It's working exactly like should be, you are saving class instances on Dataframe as output. What do you mean by variable output? BTW pass on init? what is the reason?
– Tzomas
Nov 20 at 11:27




It's working exactly like should be, you are saving class instances on Dataframe as output. What do you mean by variable output? BTW pass on init? what is the reason?
– Tzomas
Nov 20 at 11:27












variable output= output per row (so 3 outputs which displays the safety stock based on the FR, sigma and LT). Pass on init: don't remember it. But even without it doesnt work
– Steven Pauly
Nov 20 at 15:07




variable output= output per row (so 3 outputs which displays the safety stock based on the FR, sigma and LT). Pass on init: don't remember it. But even without it doesnt work
– Steven Pauly
Nov 20 at 15:07












1 Answer
1






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up vote
0
down vote



accepted










What about



import pandas as pd
import numpy as np
import scipy.stats as st

df = pd.read_excel("Desktop\TestPython4.xlsx")
df["output"] = st.norm.ppf(df.FR)*df.sigma*np.sqrt(df.LT)





share|improve this answer





















  • But how do I do it when I want to use a class?
    – Steven Pauly
    Nov 20 at 14:59











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
0
down vote



accepted










What about



import pandas as pd
import numpy as np
import scipy.stats as st

df = pd.read_excel("Desktop\TestPython4.xlsx")
df["output"] = st.norm.ppf(df.FR)*df.sigma*np.sqrt(df.LT)





share|improve this answer





















  • But how do I do it when I want to use a class?
    – Steven Pauly
    Nov 20 at 14:59















up vote
0
down vote



accepted










What about



import pandas as pd
import numpy as np
import scipy.stats as st

df = pd.read_excel("Desktop\TestPython4.xlsx")
df["output"] = st.norm.ppf(df.FR)*df.sigma*np.sqrt(df.LT)





share|improve this answer





















  • But how do I do it when I want to use a class?
    – Steven Pauly
    Nov 20 at 14:59













up vote
0
down vote



accepted







up vote
0
down vote



accepted






What about



import pandas as pd
import numpy as np
import scipy.stats as st

df = pd.read_excel("Desktop\TestPython4.xlsx")
df["output"] = st.norm.ppf(df.FR)*df.sigma*np.sqrt(df.LT)





share|improve this answer












What about



import pandas as pd
import numpy as np
import scipy.stats as st

df = pd.read_excel("Desktop\TestPython4.xlsx")
df["output"] = st.norm.ppf(df.FR)*df.sigma*np.sqrt(df.LT)






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 20 at 11:30









Nicolas

969




969












  • But how do I do it when I want to use a class?
    – Steven Pauly
    Nov 20 at 14:59


















  • But how do I do it when I want to use a class?
    – Steven Pauly
    Nov 20 at 14:59
















But how do I do it when I want to use a class?
– Steven Pauly
Nov 20 at 14:59




But how do I do it when I want to use a class?
– Steven Pauly
Nov 20 at 14:59


















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