5. Importing Data in Python

file = open('moby_dick.txt', mode='r')

print(file.read())

file.close()

print(file.closed) # Check whether file is closed

with open('moby_dick.txt') as file:

print(file.readline())

print(file.readline())

import numpy as np

file = 'digits_header.csv'

d = np.recfromcsv(file, delimiter=',', names=True, dtype=None) # Import file using np.recfromcsv

print(d[:3]) # Print out first three entries of d

import pickle

with open('data.pkl', 'rb') as file: # Open pickle file and load data (read only for a binary file)

d = pickle.load(file)

print(d)

print(type(d))

import pandas as pd

import matplotlib.pyplot as plt

df = pd.read_stata('disarea.dta') # Load Stata file into a pandas DataFrame

print(df.head()) # Print the head of the DataFrame

pd.DataFrame.hist(df[['disa10']]) # Plot histogram of one column of the DataFrame

plt.xlabel('Extent of disease')

plt.ylabel('Number of countries')

plt.show()