I am trying to solve a Linear programming problem by using the PuLP library. After defining the problem correctly, when I run the solver (CBC) I get a very strange error.

PulpSolverError: Pulp: Error while executing c:\users\hp\appdata\local\programs\python\python38\lib\site-packages\pulp\apis..\solverdir\cbc\win\64\cbc.exe

I do not what is the issue, and I think I have hit the wall as I have tried several ways without any success. I also used the following link but it did not help me so I thought to pose it a question: - puLP solver error

The problem defined by me is as follows: -

prob = LpProblem('Diet_Problem', LpMinimize)

#Using only the first 17 rows in the data set

df = pd.read_excel('diet.xls',nrows=17)

food = list(df.Foods)

#Create a dictionary of calories for all items of food
calories = dict(zip(food,df['Calories']))

Similarly created dictionaries for Carbohydrates, proteins, vitamin_A and other components. Exact similar code was used in each case.

# A dictionary called 'food_vars' is created to contain the referenced Variables
food_vars = LpVariable.dicts("Food",food,lowBound=0,cat='Continuous')

#Defined the objective function in the problem
prob += lpSum([costs[i]*food_vars[i] for i in food])

#Defined the constraints and added to the problem
prob += lpSum([food_vars[x]*calories[x] for x in food]) >= 800, "CaloriesMinimum"
prob += lpSum([food_vars[x]*calories[x] for x in food]) <= 1300, "CaloriesMaximum"

After defining all this, when I run the solver I get following error: -

prob.solve()

A snapshot of the data set is here follows: -

Please let me know the solution for this. I have tried all my ways. Thanks in advance