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!pip install jovian --upgrade --quiet
# Run the next line to install Pandas
!pip install pandas --upgrade
Requirement already up-to-date: pandas in /srv/conda/envs/notebook/lib/python3.7/site-packages (1.1.3) Requirement already satisfied, skipping upgrade: numpy>=1.15.4 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (1.19.2) Requirement already satisfied, skipping upgrade: pytz>=2017.2 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2020.1) Requirement already satisfied, skipping upgrade: python-dateutil>=2.7.3 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2.8.0) Requirement already satisfied, skipping upgrade: six>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.12.0) 
from urllib.request import urlretrieve
#Get Adult data from UCI-ML repository
urlretrieve('http://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data', 
            'adult.csv')
('adult.csv', <http.client.HTTPMessage at 0x7f4856de0550>)
#Reading Adult Data to Pandas dataframe
import pandas as pd
header_names = ['age','workclass','fnlwgt','education','education-num','marital-status','occupation','relationship','race','sex','capital-gain','capital-loss','hours-per-week','native-country','income']
#adult_df = pd.read_csv('adult.csv',index_col= 0,names=header_names)
adult_df = pd.read_csv('adult.csv',names=header_names)