Consider the following Python dictionary data and Python list labels:**
data = {\'birds\': [\'Cranes\', \'Cranes\', \'plovers\', \'spoonbills\', \'spoonbills\',
You can reduce some code like:
DataFrame provides us a flexibilty to provide some values like data,columns,index and the list goes on.
If we are dealing with Dictionary, then by default dictionaries keys are treated as column and values will be as rows.
In following Code I have used name attribute through DataFrame object
df=pd.DataFrame(data,index=Labels) # Custom indexes
df.index.name='labels' # After Running df.index.name you will get index as none, by this approach you can set any name to the column
I hope this will be help full for you.