selecting a specific value from a data frame

Question

I am trying to select a value from a dataframe. But the problem is the output is with data type and column name. Here is my data frame which i am reading from a csv file,

Name,Code
blackberry,1
wineberry,2
rasberry,1
blueberry,1
mulberry,2

And here is my testing code-

dataFrame=pd.read_csv("test.csv")
value = dataFrame.loc[dataFrame['Name'] == 'rasberry']['Code']
print(value)
strvalue=str(value)
if(strvalue=="1"):
    print("got it")

The expected ouput of value would be 1 but it is

2  1\nName: Code, dtype: int64

and that's why the if condition is not working. How can I get the specific value? I am using pandas

Answer 1

The value you get is a Series object. You can use .iloc to extract the value from it:

value.iloc[0]
# 1

Or you can use .values to extract the underlying numpy array and then use index to extract the value:

value.values[0]
# 1