Exploring Data in Pandas Using GroupBy

#Importing and Parsing
>>>Import pandas as pd
df = pd.read_csv('file_name.csv')

#Checking the mean of all attributes (columns) in a data set
df.mean()

#Finding the mean of attributes when holding one attribute as an index
_I.e: Here, I want to find the mean of all the other attributes with each occurence of the petal length attribute._
>>>df.groupby('petal_length').mean()

#We can even add multiple entries to hold as an index
>>>df.groupby(['petal_length', 'color']).mean()

#If we don't want the attributes we choose to be made as an index, we can use as_index=false:
>>>df.groupby(['petal_length', 'color'], as_index=False).mean()

#And finally, if we are interested in only one attribute (column) we can index it as follows:
>>>df.groupby(['petal_length', 'color'], as_index=False)['petal_width'].mean()