Remove name, dtype from pandas output of dataframe or series

DataFrame/Series.to_string

These methods have a variety of arguments that allow you configure what, and how, information is displayed when you print. By default Series.to_string has name=False and dtype=False, so we additionally specify index=False:

s = pd.Series(['race', 'gender'], index=[311, 317])print(s.to_string(index=False))#   race# gender

If the Index is important the default is index=True:

print(s.to_string())#311      race#317    gender

Series.str.cat

When you don't care about the index and just want the values left justified cat with a '\n'. Values need to be strings, so convert first if necessary.

#s = s.astype(str)print(s.str.cat(sep='\n'))#race#gender

You want just the .values attribute:

In [159]:s = pd.Series(['race','gender'],index=[311,317])sOut[159]:311      race317    genderdtype: objectIn [162]:s.valuesOut[162]:array(['race', 'gender'], dtype=object)

You can convert to a list or access each value:

In [163]:list(s)Out[163]:['race', 'gender']In [164]:for val in s:    print(val)racegender

Sometimes I do print(*s, sep='\n'):

s = pd.Series(['race', 'gender'], index=[311, 317])print(*s, sep='\n')

gives

racegender