Select how much data the pd.mean() displays?

When returning the pd.mean(), how to show only specific information?

Example

Now it gives this:

new_df = pd.read_excel('example.xls', usecols = ['weight'] )
print('avg value for column weight is here: '+ str(data.mean()))

Result

avg value for column weight is here: weight 2311.000000 dtype: float64

it should return:

avg value for column weight is here: 2311.000000

>Solution :

For avoid one value Series select column weight. If use Series.mean – call function for one column get scalar output:

print('avg value for column weight is here: '+ str(data['weight'].mean()))

Or use f-strings for same ouput:

print(f'avg value for column weight is here: {data["weight"].mean()}')