In [1]:
import numpy as np
import pandas as pd
from pandas import Series, DataFrame

In [9]:
dframe = pd.read_csv('lect25.csv')

In [10]:
dframe


Out[10]:
q r s t apple
0 2 3 4 5 pear
1 a s d f rabbit
2 5 2 5 7 dog

In [11]:
dframe = pd.read_csv('lect25.csv', header= None)

In [12]:
dframe


Out[12]:
0 1 2 3 4
0 q r s t apple
1 2 3 4 5 pear
2 a s d f rabbit
3 5 2 5 7 dog

In [13]:
dframe = pd.read_table('lect25.csv', sep=',', header = None)

In [14]:
dframe


Out[14]:
0 1 2 3 4
0 q r s t apple
1 2 3 4 5 pear
2 a s d f rabbit
3 5 2 5 7 dog

In [15]:
pd.read_csv('lect25.csv', header=None, nrows=2)


Out[15]:
0 1 2 3 4
0 q r s t apple
1 2 3 4 5 pear

In [16]:
dframe.to_csv('mytextdata_out.csv')

In [18]:
pd.read_csv('mytextdata_out.csv')


Out[18]:
Unnamed: 0 0 1 2 3 4
0 0 q r s t apple
1 1 2 3 4 5 pear
2 2 a s d f rabbit
3 3 5 2 5 7 dog

In [19]:
import sys

In [20]:
dframe.to_csv(sys.stdout)


,0,1,2,3,4
0,q, r, s, t, apple
1,2, 3, 4, 5, pear
2,a, s, d, f, rabbit
3,5, 2, 5, 7, dog

In [21]:
dframe.to_csv(sys.stdout, sep='_')


_0_1_2_3_4
0_q_ r_ s_ t_ apple
1_2_ 3_ 4_ 5_ pear
2_a_ s_ d_ f_ rabbit
3_5_ 2_ 5_ 7_ dog

In [22]:
dframe.to_csv(sys.stdout, sep='?')


?0?1?2?3?4
0?q? r? s? t? apple
1?2? 3? 4? 5? pear
2?a? s? d? f? rabbit
3?5? 2? 5? 7? dog

In [25]:
dframe.to_csv(sys.stdout, columns=[0,1,2])


,0,1,2
0,q, r, s
1,2, 3, 4
2,a, s, d
3,5, 2, 5

In [ ]: