Question

The numpy module is excellent for numerical computations, but to handle missing data or arrays with mixed types takes more work. The pandas module provides objects similar to R’s data frames, and these are more convenient for most statistical analysis. The pandas module also provides many mehtods for data import and manipulaiton that we will explore in this section.

Pandas for R Users

import pandas as pd
import statsmodels.api as sm
from pandas import Series, DataFrame, Panel
from string import ascii_lowercase as letters
from scipy.stats import chisqprob