# Revision history [back]

First, you can put all your lines into a list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, then L is a list ot lines of the file

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a strin with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can do:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can do:

sage: with open('/tmp/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


First, you can put all your lines into a Python list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, then L is a list ot lines of the filefile:

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a strin string with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can do:transform the string into elements of RDF the real double field:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can directly do:

sage: with open('/tmp/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


First, you can put all your lines into a Python list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, L is a list ot lines of the file:

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a string with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can transform the string into elements of RDF RDF, the real double field:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can directly do:

sage: with open('/tmp/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


First, you can put all your lines into a Python list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, L is a list ot lines of the file:

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a string with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can transform the string into elements of RDF, the real double field:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can directly do:

sage: with open('/tmp/file.txt', open('/path/to/your/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


First, you can put all your lines into a Python list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, L is a list ot lines of the file:

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a string with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can transform the string into elements of RDF, the real double field:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can directly do:

sage: with open('/path/to/your/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


sage: with open('/path/to/your/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f]


First, you can put all your lines into a Python list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, L is a list ot lines of the file:

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a string with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can transform the string into elements of RDF, the real double field:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can directly do:

sage: with open('/path/to/your/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


sage: with open('/path/to/your/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f]


First, you can put all your lines into a Python list:

sage: with open('/path/to/your/file.txt', 'r') as f:


So, L is a list ot lines of the file:

sage: L
['2.14\n', '3.15\n', '7.8 \n']


As you can see, the entries are strings, with maybe spaces and newlines at the end. You can clean such a string with the strip() method:

sage: [l.strip() for l in L]
['2.14', '3.15', '7.8']


But you want Sage floating point numbers, not strings representing them, so you can transform the string into elements of RDF, the real double field:

sage: [RDF(l.strip()) for l in L]
[2.14, 3.15, 7.8]


If you want to summarize this, you can directly do:

sage: with open('/path/to/your/file.txt', 'r') as f:
....:     L = [RDF(l.strip()) for l in f.readlines()]

sage: L
[2.14, 3.15, 7.8]


sage: with open('/path/to/your/file.txt', 'r') as f: