I recently found a great short code Why the irrelevant code made a difference? for obtaining console screen buffer info (which I include below) that replaces the huge code accompanying the standard 'CONSOLE_SCREEN_BUFFER_INFO()' method (which I won't include here!)
import ctypes
import struct
print("xxx",end="") # I added this to show what the problem is
hstd = ctypes.windll.kernel32.GetStdHandle(-11) # STD_OUTPUT_HANDLE = -11
csbi = ctypes.create_string_buffer(22)
res = ctypes.windll.kernel32.GetConsoleScreenBufferInfo(hstd, csbi)
width, height, curx, cury, wattr, left, top, right, bottom, maxx, maxy = struct.unpack("hhhhHhhhhhh", csbi.raw)
# The following two lines are also added
print() # To bring the cursor to next line for displaying infp
print(width, height, curx, cury, wattr, left, top, right, bottom, maxx, maxy) # Display what we got
Output:
80 250 0 7 7 0 0 79 24 80 43
This output is for Windows 10 MSDOS, with clearing the screen before running the code. However. 'curx' = 0 although it should be 3 (after printing "xxx"). The same phenomenon happens also with the 'CONSOLE_SCREEN_BUFFER_INFO()' method. Any idea what is the problem?
Also, any suggestion for a method of obtaining current cursor position -- besides 'curses' library -- will be welcome!
You need to flush the print buffer if you don't output a linefeed:
print("xxx",end="",flush=True)
Then I get the correct curx=3 with your code:
xxx
130 9999 3 0 14 0 0 129 75 130 76
BTW the original answer in the posted question is the "great" code. The "bitness" of HANDLE can break your code, and not defining .argtypes as a "shortcut" is usually the cause of most ctypes problems.
Related
How do I fix USER FATAL MESSAGE 740? This error is generated by Nastran when I try to run a BDF/DAT file of mine.
*** USER FATAL MESSAGE 740 (RDASGN)
UNIT NUMBER 5 HAS ALREADY BEEN ASSIGNED TO THE LOGICAL NAME INPUT
USER ACTION: CHANGE THE UNIT NUMBER ON THE ASSIGN STATEMENT AND IF THE UNIT IS USED FOR
PARAM,POST,<0 THEN SPECIFY PARAM,OUNIT2 WITH THE NEW UNIT NUMBER.
AVOID USING THE FOLLOWING UNIT NUMBERS THAT ARE ASSIGNED TO SPECIAL FILES IN MSC.NASTRAN:
1 THRU 12, 14 THRU 22, 40, 50, 51, 91, 92. SEE THE MSC.NASTRAN INSTALLATIONS/OPERATIONS
GUIDE SECTION ON MAKING FILE ASSIGNMENTS OR MSC.NASTRAN QUICK REFERENCE GUIDE ON
ASSIGN PHYSICAL FILE FOR REFERENCE.
Below is the head of my BDF file.
assign userfile='SUB1_PLATE.csv', status=UNKNOWN, form=formatted, unit=52
SOL 200
CEND
ECHO = NONE
DESOBJ(MIN) = 35
set 30=1008,1007,1015,1016
DESMOD=SUB1_PLATE
SUBCASE 1
$! Subcase name : DefaultLoadCase
$LBCSET SUBCASE1 DefaultLbcSet
ANALYSIS = STATICS
SPC = 1
LOAD = 6
DESSUB = 99
DISPLACEMENT(SORT1,PLOT,REAL)=ALL
STRESS(SORT1,PLOT,VONMISES,CORNER)=ALL
BEGIN BULK
param,xyunit,52
[...]
ENDDATA
Below is the solution
Correct
assign userfile='SUB1_PLAT.csv', status=UNKNOWN, form=formatted, unit=52
I shortened the name of CSV file to SUB1_PLAT.csv. This reduced the length of the line to 72 characters.
Incorrect
assign userfile='SUB1_PLATE.csv', status=UNKNOWN, form=formatted, unit=52
The file management section is limited to 72 characters, spaces included. The incorrect line stretches 73 characters. The nastran reader ignores the 73rd character and on. Instead of reading "unit=52" the reader reads "unit=5" which triggers the error.
|<--------------------- 72 Characters -------------------------------->||<- Characters are ignored truncated ->
assign userfile='SUB1_PLATE.csv', status=UNKNOWN, form=formatted, unit=52
References
MSC Nastran Reference Guide
The records of the first four sections are input in free-field format
and only columns 1 through 72 are used for data. Any information in
columns 73 through 80 may appear in the printed echo, but will not be
used by the program. If the last character in a record is a comma,
then the record is continued to the next record.
I am trying to reading this pajek file in Google Colab's version of Jupyter and I get an error when executing the following very simple code:
J = nx.MultiDiGraph()
J=nx.read_pajek("/content/data/graphdatasets/jazz.net")
print(nx.info(J))
The error is the following:
/usr/local/lib/python3.6/dist-packages/networkx/readwrite/pajek.py in parse_pajek(lines)
211 except AttributeError:
212 splitline = shlex.split(str(l))
--> 213 id, label = splitline[0:2]
214 labels.append(label)
215 G.add_node(label)
ValueError: not enough values to unpack (expected 2, got 1)
With pip show networkx, I see that I'm running Networkx version: 2.3. Am I doing something wrong in the code?
Update: Pasting below the file's first few lines:
*Vertices 198
*Arcs
*Edges
1 8 1
1 24 1
1 35 1
1 42 1
1 46 1
1 60 1
1 74 1
1 78 1
According to the Pajek definition the first two lines of your file are not according to the standard. After *vertices n, n lines with details about the vertices are expected. In addition, *edges and *arcs is a duplicate. NetworkX assumes use for an edge list, which started with *arcs a MultiDiGraph and for *edges a MultiGraph (see current code). To resolve your problem, you only need to delete the first two lines of your .net-file.
I am trying to learn linearK estimates on a small linnet object from the CRC spatstat book (chapter 17) and when I use the linearK function, spatstat throws an error. I have documented the process in the comments in the r code below. The error is as below.
Error in seq.default(from = 0, to = right, length.out = npos + 1L) : 'to' cannot be NA, NaN or infinite
I do not understand how to resolve this. I am following this process:
# I have data of points for each data of the week
# d1 is district 1 of the city.
# I did the step below otherwise it was giving me tbl class
d1_data=lapply(split(d1, d1$openDatefactor),as.data.frame)
# I previously create a linnet and divided it into districts of the city
d1_linnet = districts_linnet[["d1"]]
# I create point pattern for each day
d1_ppp = lapply(d1_data, function(x) as.ppp(x, W=Window(d1_linnet)))
plot(d1_ppp[[1]], which.marks="type")
# I am then converting the point pattern to a point pattern on linear network
d1_lpp <- as.lpp(d1_ppp[[1]], L=d1_linnet, W=Window(d1_linnet))
d1_lpp
Point pattern on linear network
3 points
15 columns of marks: ‘status’, ‘number_of_’, ‘zip’, ‘ward’,
‘police_dis’, ‘community_’, ‘type’, ‘days’, ‘NAME’,
‘DISTRICT’, ‘openDatefactor’, ‘OpenDate’, ‘coseDatefactor’,
‘closeDate’ and ‘instance’
Linear network with 4286 vertices and 6183 lines
Enclosing window: polygonal boundary
enclosing rectangle: [441140.9, 448217.7] x [4640080, 4652557] units
# the errors start from plotting this lpp object
plot(d1_lpp)
"show.all" is not a graphical parameter
Show Traceback
Error in plot.window(...) : need finite 'xlim' values
coords(d1_lpp)
x y seg tp
441649.2 4649853 5426 0.5774863
445716.9 4648692 5250 0.5435492
444724.6 4646320 677 0.9189631
3 rows
And then consequently, I also get error on linearK(d1_lpp)
Error in seq.default(from = 0, to = right, length.out = npos + 1L) : 'to' cannot be NA, NaN or infinite
I feel lpp object has the problem, but I find it hard to interpret the errors and how to resolve them. Could someone please guide me?
Thanks
I can confirm there is a bug in plot.lpp when trying to plot the marked point pattern on the linear network. That will hopefully be fixed soon. You can plot the unmarked point pattern using
plot(unmark(d1_lpp))
I cannot reproduce the problem with linearK. Which version of spatstat are you running? In the development version on my laptop spatstat_1.51-0.073 everything works. There has been changes to this code recently, so it is likely that this will be solved by updating to development version (see https://github.com/spatstat/spatstat).
I want to convert some single page postscript files to eps. They are from the same source multiple page ps file, extracted with psselect. Some of the pages (the short ones) are rotated (by 90° to the left) with respect to their original orientation when I do ps2eps $file. In the the ps2eps man pages (ftp://ftp.tex.ac.uk/tex-archive/support/ps2eps/doc/html/ps2eps.html) I found:
ps2eps filters also %%Orientation. But I checked with diff file.ps file.eps that the only difference between the files is
diff tmp.ps tmp.eps
1c1,3
< %!PS-Adobe-3.0
---
> %!PS-Adobe-2.0 EPSF-2.0
> %%BoundingBox: 132 613 466 750
> %%HiResBoundingBox: 132.000000 613.500000 465.500000 749.500000
9d10
< %%Pages: 1 0
12a14,23
> % EPSF created by ps2eps 1.68
> %%BeginProlog
> save
> countdictstack
> mark
> newpath
> /showpage {} def
> /setpagedevice {pop} def
> %%EndProlog
> %%Page 1 1
14d24
<
85d94
<
476a486,490
> %%Trailer
> cleartomark
> countdictstack
> exch sub { end } repeat
> restore
So why does it change orientation and how can I prevent it? Note that I instructed my viewer to display it in original orientation.
On my MacBook Pro in Terminal adding the flag "-R=-" preserves orientation:
ps2eps -R=- input.ps
If your generated eps file is rotated 90 degrees anti-clockwise for example, you can avoid this issue by amending the conversion command to 'ps2eps +R=+ file.ps' which rotates the generated eps file 90 clockwise.
Also looking at the options with '-R' under 'ps2eps --help' shows many options to rotate your generated eps file.
i found a work-around which works for me but some of you might not like. Here goes...
First use
ps2pdf
then delete the original ps
then use
pdf2ps
then use
ps2eps
I know it sounds ridiculous but thats the only thing that works for me without any drawbacks and the quality seems to be still there in my case.
Good luck
I made a matrix and I want to export it to Excel. The matrix looks like this:
1 2 3 4 5 6 7
2 0.4069264
3 0.5142857 0.2948718
4 0.3939394 0.4098639 0.3772894
5 0.3476190 0.3717949 0.3194444 0.5824176
6 0.2809524 0.3974359 0.2222222 0.3388278 0.3974359
7 0.2809524 0.5987654 0.3933333 0.4188713 0.4711538 0.3429487
8 0.4675325 0.4855072 0.4523810 0.4917184 0.3409091 0.4318182 0.4128788
9 0.3896104 0.5189594 0.4404762 0.2667549 0.5471429 0.3604762 0.3081502
10 0.4242424 0.4068878 0.3484432 0.2708333 0.4766484 0.3740842 0.4528219
11 0.3476190 0.3942308 0.2881944 0.3228022 0.4711538 0.2147436 0.3653846
12 0.6060606 0.3949830 0.2971612 0.3541667 0.5022894 0.3484432 0.4466490
13 0.4675325 0.5972222 0.6060606 0.3670635 0.4393939 0.3939394 0.3695652
14 0.4978355 0.4951499 0.4480952 0.4713404 0.3814286 0.3147619 0.4629121
15 0.4632035 0.4033883 0.4508929 0.3081502 0.4728571 0.3528571 0.4828571
16 0.3766234 0.5173993 0.4771825 0.4734432 0.5114286 0.3514286 0.4214286
17 0.3939394 0.5289116 0.3260073 0.3333333 0.5663919 0.2330586 0.3015873
18 0.3939394 0.3708791 0.2837302 0.4102564 0.3392857 0.2559524 0.4123810
19 0.3160173 0.5727041 0.4885531 0.3056973 0.4725275 0.3827839 0.3346561
20 0.3333333 0.5793651 0.4257143 0.4876543 0.4390476 0.2390476 0.3131868
21 0.5281385 0.3762755 0.4052198 0.2997449 0.4180403 0.2898352 0.4951499
22 0.3593074 0.3784014 0.4075092 0.2423469 0.4908425 0.3113553 0.3430335
23 0.5281385 0.5875850 0.4404762 0.4634354 0.6071429 0.3763736 0.3747795
24 0.3549784 0.6252381 0.5957341 0.4328571 0.4429563 0.4429563 0.3422619
25 0.4242424 0.4931973 0.5054945 0.2142857 0.4670330 0.4285714 0.4312169
26 0.3852814 0.5671769 0.4954212 0.4073129 0.3736264 0.4890110 0.4523810
27 0.5238095 0.3269558 0.5187729 0.4051871 0.5412088 0.5155678 0.5859788
28 0.3160173 0.1904762 0.3205128 0.3384354 0.3429487 0.3173077 0.5123457
29 0.2380952 0.4468537 0.5196886 0.4536565 0.4491758 0.4491758 0.4634039
30 0.4545455 0.4295635 0.4080087 0.4791667 0.3474026 0.3019481 0.4627329
31 0.2857143 0.3988095 0.3397436 0.3443878 0.4294872 0.2756410 0.3456790
32 0.3636364 0.3027211 0.3772894 0.3452381 0.4413919 0.3388278 0.3818342
33 0.3333333 0.4482402 0.4080087 0.4275362 0.2888199 0.4047619 0.4301242
34 0.5411255 0.4825680 0.4043040 0.4417517 0.4748168 0.3850733 0.3708113
35 0.3160173 0.5476190 0.4230769 0.3979592 0.3653846 0.3397436 0.2283951
36 0.4603175 0.4653209 0.4778912 0.5170807 0.3928571 0.4508282 0.4254658
37 0.3939394 0.1955782 0.2490842 0.4047619 0.2490842 0.3516484 0.4559083
38 0.3463203 0.4660494 0.4300000 0.4157848 0.3833333 0.2233333 0.2788462
39 0.5844156 0.4668367 0.3809524 0.3843537 0.4803114 0.3008242 0.5026455
40 0.5454545 0.4902211 0.3740842 0.2946429 0.5279304 0.2971612 0.3293651
41 0.5800866 0.3758503 0.5073260 0.5136054 0.3598901 0.5393773 0.4823633
42 0.4458874 0.3937390 0.3785714 0.4686949 0.3768315 0.3127289 0.4954212
43 0.6536797 0.5740741 0.5533333 0.4453263 0.4866667 0.5400000 0.4358974
44 0.5887446 0.5548469 0.4308608 0.3949830 0.5462454 0.3411172 0.5136684
45 0.4069264 0.4357993 0.4308608 0.3830782 0.4308608 0.3795788 0.4025573
46 0.5974026 0.3826531 0.3672161 0.3954082 0.4441392 0.3159341 0.5141093
47 0.2554113 0.4196429 0.4262821 0.4961735 0.2788462 0.3301282 0.3055556
I tried the command:
WriteXLS("my matrix after i converted it to data.frame", "test.xls")
but I got this error:
The Perl script 'WriteXLS.pl' failed to run successfully.
I googled it but I couldn't find a solution.
Thanks in advance.
Any reason why you can't just use write.csv?
write.csv(mymatrix, "test.csv")
Import it in Excel and you're set!
PS: I assume you're not putting quotes around your variable name in the WriteXLS call, right?
One other option on Windows (which seems a reasonable assumption given that you are using Excel):
You can write a matrix (or data frame) to the clipboard using a command like:
write.table(mymat, 'clipboard', sep='\t')
Then just go into Excel, click in the cell that you want to be the top left cell, then do a paste and your matrix is there (the sep='\t' is important for Excel to interpret it correctly).
This is similar to other answers, but you don't need an intermediate file on disk.
You could also check xlsx if you do not mind the Excel 2007 format, as xlsx does not depend on Perl (though depends on rJava).
After loading the packge via library(xlsx) just try the following:
write.xlsx(USArrests, "/usarrests.xlsx")
It's hard to see what is going on here exactly. Might be several things.
I think the easiest way to write a matrix to excell is by using write.table() and importing the data in excell. It takes an extra step but it also keeps your data in a nice format.
If foo is your matrix:
write.table(foo,"foo.txt")
If you get an error maybe trie coercing the object to a matrix:
write.table(as.matrix(foo),"foo.txt")
Does the matrix contain values in the upper triangle as well? Perhaps making a full matrix works:
foo<-foo+t(foo)
write.table(as.matrix(foo),"foo.txt")
But these are all just random shots in the dark since I don't have a matrix to work with.
EDIT: In response to the other answer, you can remove the column and rownames with col.names=FALSE and row.names=FALSE in both write.table() and write.csv() (which are the same function with different default values).
I have met the same problem, after reinstalling strawberry perl : after debugging the WriteXLS function in R, I found out the the perl module Text::CSV_XS was missing from my fresh new install. I installed this module from the DOS command line :
perl -MCPAN -e shell
install Text::CSV_XS
After this, WriteXLS was working fine.
upper # matrix name
write.xlsx2(upper,file = "File.xlsx", sheetName="Sheetname",col.names=TRUE, row.names=TRUE, append=TRUE, showNA=TRUE)