I like CSV files for their portability (Python, Excel), ease of debug, and lightweight nature (no SQL databases etc). However, one key aspect of CSV files is that they are column-oriented–that is, you have to keep track of which data is in which column.
csv.DictWriter do this for you–you don’t have to keep track of which data is in which column; the reader/writer does this for you.
I was looking for something similar in Matlab, so that I can read CSV files. In Matlab, the structure array is ideal for this, as it lets you create an array (one record per row) with structured data (one field per column).
The following file is something I wrote to read in CSV data. It returns a structure array, where the field names are given by a header line in the CSV file. It supports both numeric and string data in the CSV fields, with one caveat: all text-valued fields must occur contiguously and be the first columns in the file.
function [ S ] = csv_struct_read( file_name )
%csv_strct_read: S = csv_struct_read( file_name )
% Read CSV file, with headers, as a struct array
% Header fields are struct fields. Dimension of
% struct array is NR x 1 where NR is number of
% non-header lines (rows) in CSV.
A = importdata(file_name, ',', 1);
if size(A.textdata, 1) > 1
D = A.textdata(2:end, :);
D(strcmp(D, '')) = num2cell(A.data);
S = cell2struct(D, A.textdata(1,:), 2);
S = cell2struct(num2cell(A.data), A.colheaders, 2);
Our friend from Brazil (Nilton Jr) sent us the attached update last year: CDSVN. I’m just getting around to posting them now. I haven’t tried them out, but they are “customizations [they] made to [their] environment”.
Also, we got another contribution from Iou Bingyong: svnMenu.il. He says:
I’m in China and I have tried your script today . It works fine in IC615, great works!
I wrote a skill script to add the “Subversion” menu in schematic/layout editor. In this way the “menus” sub-directory is not needed and I think this should be a little easier to setup.
Quality : HD
Title : Brimstone
Release : 2017-01-12.
Language : English.
Runtime : 148 min.
Genre : Mystery, Thriller, Western.
Stars : Guy Pearce, Dakota Fanning, Carice van Houten, Kit Harington, Emilia Jones, Paul Anderson.
In the menacing inferno of the old American West, Liz is a genuine survivor who is hunted by a vengeful preacher for a crime she didnâ€™t commit.
Incoming search term :
Brimstone English Subtitles
Watch Brimstone English Subtitles
Watch Movie Brimstone
Watch Movie Brimstone English Subtitles
Watch Movie Online Brimstone
Watch Movie Online Brimstone English Subtitles
Watch Full Movie Brimstone
Watch Full Movie Brimstone English Subtitles
Watch Full Movie Online Brimstone
Watch Full Movie Online Brimstone English Subtitles
Streaming Brimstone English Subtitles
Streaming Movie Brimstone
Streaming Movie Brimstone English Subtitles
Streaming Online Brimstone
Streaming Online Brimstone English Subtitles
Streaming Full Movie Brimstone
Streaming Full Movie Brimstone English Subtitles
Streaming Full Movie Online Brimstone
Streaming Full Movie Online Brimstone English Subtitles
Download Brimstone English Subtitles
Download Movie Brimstone
Download Movie Brimstone English Subtitles
Download Movie Online Brimstone
Download Movie Online Brimstone English Subtitles
Download Full Movie Brimstone
Download Full Movie Brimstone English Subtitles
Download Full Movie Online Brimstone
Download Full Movie Online Brimstone English Subtitles
Hex & RGB values:
Cadence has a stability analysis that returns loop gain (return ratio). Typically, this is done using a log sweep of frequency. The reason is that doing a uniform linear sweep results in too large frequency steps for low frequencies and/or too large of a step for higher frequencies.
Unfortunately, when you do a logarithmic sweep, you can’t cover from negative to positive frequencies–which is what you want when you generate a Nyquist plot. With the code below, you can reflect the positive frequencies onto negative to get the full Nyquist plot:
; load “~/cadence/skill/abConcatWaveforms.il”
lg = -getData(“loopGain” ?result “stb”)
; abConcatWaveforms externally defined
lg2 = abConcatWaveforms(flip(conjugate(lg)) lg)
w = newWindow()
ocnYvsYplot(?wavex real(lg2) ?wavey imag(lg2))
stb_x = xmin(abs(lg2-complex(-1.0,0.0))**2)
stb_margin = value(lg2, stb_x)
addTitle(sprintf(nil “stb_margin = %f dB” -dB20(stb_margin)))
xLimit( list(-1.6 0.2) )
yLimit( list(-0.5 0.5) )
You’ll need Andrew Beckett’s abConcatWaveforms function defined and loaded.
If one is doing an analysis over a range of variables, one should use the paramAnalysis ocean function. That said, I’m constantly having to look up how to do a for loop in Skill. So, I’m placing a couple examples where I know I can get to them.
I keep having to look this up, so I’m going to put it here for easy reference:
Open a File
h = outfile("new_file.txt", "w")
h = infile("existing_file.txt")
h = outfile("partial_file.txt", "a")
Opens new file for writing, existing file for reading, and partial file for appending, respectively.
Write to a file
write("Hello World!\n", h)
fprintf(h, "gm = %f", OP("/M23" "gm"))
print(OP("/M23" "gm"), h)
pprint(OP("/M23" "gm"), h)
Write “Hello World!” to a file (newlines are explicit); construct formatted string and write to file; print using native format to a file; pretty-print (useful for nested lists etc) to a file. File handle is h.
Read from a file
str = lineread(h)
Reads a single line as a string