Hi there,
It seems a little odd to me that rec2csv would overthrow float formatting,
such as FormatFloat(2). I am reading in a file that looks like (with
csv2rec):
ES2006a C 2_1 if 23.53 23.66 0.13 0.17 -0.7844
-2.2863 IN 4.819 1.981 2.838 if 0 0
ES2006a C 2_1 it 23.66 23.74 0.08 0.21 -1.3039
-1.7667 PRP 2.802 1.518 1.284 it 0 0
ES2006a C 2_1 was 23.74 23.9 0.16 0.27 -0.663
-2.5537 AUX 2.694 0.955 1.739 was 0 0
ES2006a C 2_1 sent 23.9 24.17 0.27 0.36 -2.62
-4.062 VBN 6.964 1.317 5.647 sent 1 2
And I am doing a few numpy things to it, and then spitting the results back
out into a file that ends up looking like this:
ES2006a C 2_1 if 23.530000000000001 23.66 0.13
0.170000
00000000001 -0.78439999999999999 -2.2863000000000002 IN
4.819
1.9810000000000001 2.8380000000000001 if 0 0 0.0
ES2006a C 2_1 it 23.66 23.739999999999998
0.08000000000000
0002 0.20999999999999999 -1.3039000000000001 -1.7666999999999999
PRP 2.802 1.518 1.284 it 0 0 0.0
ES2006a C 2_1 was 23.739999999999998 23.899999999999999
0.16 0.27000000000000002 -0.66300000000000003 -2.5537000000000001
AUX 2.694 0.95499999999999996 1.7390000000000001 was 0
0 0.0
ES2006a C 2_1 sent 23.899999999999999 24.170000000000002
0.27000000000000002 0.35999999999999999 -2.6200000000000001
-4.0620000000000003 VBN 6.964 1.3169999999999999
5.6470000000000002 sent 1 2 0.0
which is not at all what I want. I want the numbers to look like the
originally did in the input file...or at least better truncated.
I tried to use FormatFloat(n), but the documentation (plus the mlib code)
says that rec2csv overrides the FormatFloat to get a %r format.
My stopgap measure is to create my own FormatFloatForce that looks like
this:
class FormatFloatForce(mlab.FormatFormatStr):
def __init__(self):
mlab.FormatFormatStr.__init__(self, "%g")
def toval(self, x):
return x
def fromstr(self, s):
return float(s)
But this seems rather hideous to me, especially since I have to apply it to
every numerical column. Am I simply doing this all wrong?
Yours,
--Asad.
···
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