import pandas as pd
# Create data frame from csv file
df=pd.read_csv(“e://data/state-population.csv”)
# Dataframe column values
df[[‘year’, ‘population’]].head()
# Dataframe column values
df.values
Output
array([[‘AL’, ‘under18’, 2012, 1117489.0], [‘AL’, ‘total’, 2012, 4817528.0], [‘AL’, ‘under18’, 2010, 1130966.0], …, [‘USA’, ‘total’, 2011, 311582564.0], [‘USA’, ‘under18’, 2012, 73708179.0], [‘USA’, ‘total’, 2012, 313873685.0]], dtype=object)
year | ||
---|---|---|
0 | 2012 | 1117489.0 |
1 | 2012 | 4817528.0 |
2 | 2010 | 1130966.0 |
3 | 2010 | 4785570.0 |
4 | 2011 | 1125763.0 |