从数据框中分配变量

Question

I have the below dataframe:

df:

Name    Value
A       30
B       40
C       50

How can i read this dataframe so that i can use these values as variables for my code?

Like:

A=30
B=40
C=50

I was trying something on these lines:

for n in range(len(df)):
    A = df.at[n, "A"]
    B = df.at[n, "B"]
    C = df.at[n, "C"]

Answer 1

I think simliest is create Series by index from Name column by DataFrame.set_index and then select by labels by Series.at or Series.loc :

s = df.set_index('Name')['Value']
print (s)
Name
A    30
B    40
C    50
Name: Value, dtype: int64

A = s.at["A"]
B = s.at["B"]
C = s.at["C"]

print (A,B,C)
30 40 50

Or if want filter by columns names it is possible by boolean indexing , but output is Series, so for first value use Series.iat or Series.iloc :

A = df.at[df['Name'].eq("A"), 'Value'].iat[0]
B = df.at[df['Name'].eq("B"), 'Value'].iat[0]
C = df.at[df['Name'].eq("C"), 'Value'].iat[0]