I'm working in PyCharm on Windows. In the project I'm currently working on I have "large" matrices, but when i output them Pycharm automatically adds linebreaks so that one row occupys two lines instead of just one:
[[ 3. -1.73205081 0. 0. 0. 0. 0.
0. 0. 0. ]
[-1.73205081 1. -1. -2. 0. 0. 0.
0. 0. 0. ]
[ 0. -1. 1. 0. -1.41421356 0. 0.
0. 0. 0. ]
[ 0. -2. 0. 1. -1.41421356 0.
-1.73205081 0. 0. 0. ]
[ 0. 0. -1.41421356 -1.41421356 0. -1.41421356
0. -1.41421356 0. 0. ]
[ 0. 0. 0. 0. -1.41421356 0. 0.
0. -1. 0. ]
[ 0. 0. 0. -1.73205081 0. 0. 3.
-1.73205081 0. 0. ]
[ 0. 0. 0. 0. -1.41421356 0.
-1.73205081 1. -2. 0. ]
[ 0. 0. 0. 0. 0. -1. 0.
-2. 0. -1.73205081]
[ 0. 0. 0. 0. 0. 0. 0.
0. -1.73205081 0. ]]
It make my results very hard to reed and to compare. The window is big enough so that everything should be displayed but it still breaks the rows. Is there any setting to prevent this?
Thanks in advance!
PyCharm default console width is set to 80 characters.
Lines are printed without wrapping unless you set soft wrap
in options:
File -> Settings -> Editor -> General -> Console -> Use soft wraps in console
.
However both options make reading big matrices hard. You can fix this in few ways.
With this test code:
import random
m = [[random.random() for a in range(10)] for b in range(10)]
print(m)
You can try one of these:
Use pprint
module, and override line width:
import pprint
pprint.pprint(m, width=300)
For numpy version 1.13 and lower:
If you use numpy
module, configure arrayprint option:
import numpy
numpy.core.arrayprint._line_width = 300
print(numpy.matrix(m))
For numpy version 1.14 and above (thanks to @Alex Johnson):
import numpy
numpy.set_printoptions(linewidth=300)
print(numpy.matrix(m))
If you use pandas
module, configure display.width option:
import pandas
pandas.set_option('display.width', 300)
print(pandas.DataFrame(m))