如何在python中的单元格值旁边添加标题名称

Question

I have this table as an input and I would like to add the name of the header to its corresponding cells before converting it to a dataframe

I am generating association rules after converting the table to a dataframe and each rule is not clear if it belongs to which antecedent/consequent.

Example for the first column of my desired table:

Age
Age = 45
Age = 30 
Age = 45
Age = 80 

. . and so on for the rest of the columns. What is the best way to access each column and rewrite them? And is there a better solution to reference my values after generating association rules other than adding the name of the header to each cell?

Answer 1

Here is one way to add the column names to all cells:

df = pd.DataFrame({'age':[1,2],'sex':['M','F']})
df = df.applymap(str)

for c in df.columns:
    df[c] = df[c].apply(lambda s: "{} = {}".format(c,s))

This yields:

    age     sex
0   age = 1 sex = M
1   age = 2 sex = F