Convert a .csv file into a 2D table in Lua - lua
as the title suggests I'd like to know how to convert a .csv file in Lua into a 2D table.
So, for example, say I have a .csv file that looks like this:
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0
0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0
0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0
0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0
0,0,-1,-1,-1,-1,-1,-1,0,0,0,0,-1,-1,-1,-1,-1,-1,0,0
0,0,0,-1,-1,-1,-1,0,0,0,0,0,0,-1,-1,-1,-1,0,0,0
0,0,0,0,-1,-1,0,0,0,0,0,0,0,0,-1,-1,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
How would I convert it into something like this?
local example_table = {{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0},
{0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0},
{0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0},
{0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0},
{0,0,-1,-1,-1,-1,-1,-1,0,0,0,0,-1,-1,-1,-1,-1,-1,0,0},
{0,0,0,-1,-1,-1,-1,0,0,0,0,0,0,-1,-1,-1,-1,0,0,0},
{0,0,0,0,-1,-1,0,0,0,0,0,0,0,0,-1,-1,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}}
Your help will be greatly appreciated.
1. Don't underestimate CSV.
If you need it generic, get a proper CSV parsing library. If you do the parsing yourself, you will miss lots of special cases that could happen, so it's only suitable for cases where you know your data and would notice if something went wrong.
2. Changing the file
If you want the equivalent Lua code as output, assuming you're doing the parsing in Lua, you could do something like this:
local input = get_input_somehow() -- probably using io.open, etc.
local output =
"local example_table = {\n"
..
input:gmatch("[^\n]*", function(line)
return "{" .. line .. "};"
end)
..
"\n}"
save_output_somehow(output) -- Probably just write to a new file
3. Parsing CSV into a table
If you want to read the CSV file directly into a Lua table, you could instead do it like this:
local input = get_input_somehow() -- probably using io.open, etc.
local output = {}
input:gmatch("[^\n]", function(line)
local row = {}
table.insert(output, row)
line:gmatch("[^,]", function(item)
table.insert(row, tonumber(item))
end)
end)
do_something_with(output) -- Whatever you need your data for
Related
How to create a tables with variable length with string-like keys in lua
I have a file database. Inside that file I have something like: DB_A = ... DB_B = ... . . . DB_N = ... I would like to parse the data and group them in lua code like this: data={} -- the result after parsing a file data={ ["DB_A"] = {...}, ["DB_B"] = {...}, . . . ["DB_N"] = {...} } In other words, is it possible to create a table inside a table dynamically and assign the key to each table without previously knowing what will be the names of the key (that is something I can figure out after parsing the data from a database).
(Just as a note, I am using Lua 5.3.5; also, I apologize that my code resembles C more than Lua!) Iterating through your input file line-by-line--which can be done with the Lua FILE*'s lines method--you can use string.match to grab the information you are looking for from each line. #!/usr/bin/lua local PATTERN = "(%S+)%s?=%s?(%S+)" local function eprintf(fmt, ...) io.stderr:write(string.format(fmt, ...)) return end local function printf(fmt, ...) io.stdout:write(string.format(fmt, ...)) return end local function make_table_from_file(filename) local input = assert(io.open(filename, "r")) local data = {} for line in input:lines() do local key, value = string.match(line, PATTERN) data[key] = value end return data end local function main(argc, argv) if (argc < 1) then eprintf("Filename expected from command line\n") os.exit(1) end local data = make_table_from_file(argv[1]) for k, v in pairs(data) do printf("data[%s] = %s\n", k, data[k]) end return 0 end main(#arg, arg) The variable declared at the top of the file, PATTERN, is your capture pattern to be used by string.match. If you are unfamiliar with how Lua's pattern matching works, this pattern looks for a series of non-space characters with zero or one spaces to its right, an equal sign, another space, and then another series of non-space characters. The two series of non-space characters are the two matches--key and value--returned by string.match in the function make_table_from_file. The functions eprintf and printf are my Lua versions of C-style formatted output functions. The former writes to standard error, io.stderr in Lua; and the latter writes to standard output, io.stdout in Lua. In your question, you give a sample of what your expected output is. Within your table data, you want it to contain keys that correspond to tables as values. Based on the sample input text you provided, I assume the data contained within these tables are whatever comes to the right of the equal signs in the input file--which you represent with .... As I do not know what exactly those ...s represent, I cannot give you a solid example for how to separate that right-hand data into a table. Depending on what you are looking to do, you could take the second variable returned by string.match, which I called value, and further separate it using Lua's string pattern matching. It could look something like this: ... local function make_table_from_value(val) // Split `val` into distinct elements to form a table with `some_pattern` return {string.match(val, some_pattern)} end local function make_table_from_file(filename) local input = assert(io.open(filename, "r")) local data = {} for line in input:lines() do local key, value = string.match(line, PATTERN) data[key] = make_table_from_value(value) end return data end ... In make_table_from_value, string.match will return some number of elements, based on whatever string pattern you provide as its second argument, which you can then use to create a table by enclosing the function call in curly braces. It will be a table that uses numerical indices as keys--rather than strings or some other data type--starting from 1.
LUA: How to Create 2-dimensional array/table from string
I see several posts about making a string in to a lua table, but my problem is a little different [I think] because there is an additional dimension to the table. I have a table of tables saved as a file [i have no issue reading the file to a string]. let's say we start from this point: local tot = "{{1,2,3}, {4,5,6}}" When I try the answers from other users I end up with: local OneDtable = {"{1,2,3}, {4,5,6}"} This is not what i want. how can i properly create a table, that contains those tables as entries? Desired result: TwoDtable = {{1,2,3}, {4,5,6}} Thanks in advance
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How can I get the number of times an enttry in a table was listed
I need to find a way to see how many times an entry is listed in a table. I have tried looking at other code for help, and looking at examples online none of them help local pattern = "(.+)%s?-%s?(.+)" local table = {"Cald_fan:1", "SomePerson:2", "Cald_fan:3","anotherPerson:4"} for i,v in pairs(table) do local UserId, t = string.match(v, pattern) for i,v in next,UserId do --I have tried something like this end end it is suppose to say Cald_fan was listed 2 times
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torch FloatTensor toString method?
I have a torch.FloatTensor that is 2 rows and 200 columns. I want to print the lines to a text file. Is there a toString() method for the torch.FloatTensor? If not, how do you print the line to the file? Thanks. I can convert the FloatTensor into a Lua table: local line = a[1] local table = {} for i=1,line:size(1) do table[i] = line[i] end Is there an easy way to convert the Lua table to a string, so I can write it to file? Thanks!
There is a built-in table conversion called torch.totable. If what you want to do is save and load your tensor, then it's even easier to use Torch native serialization like torch.save('file.txt', tensor, 'ascii').
pandas parse dates from csv
I am trying to read a csv file which includes dates. The csv looks like this: h1,h2,h3,h4,h5 A,B,C,D,E,20150420 A,B,C,D,E,20150420 A,B,C,D,E,20150420 For reading the csv I use this code: df = pd.read_csv(filen, index_col=None, header=0, parse_dates=[5], date_parser=lambda t:parse(t)) The parse function looks like this: def parse(t): string_ = str(t) try: return datetime.date(int(string_[:4]), int(string_[4:6]), int(string_[6:])) except: return datetime.date(1900,1,1) My strange problem now is that in the parsing function, t looks like this: ndarray: ['20150420' '20150420' '20150420'] As you can see t is the whole array of the data column. I think it should be only the first value when parsing the first row, the second value, when parsing the second row, etc. Right now, the parse always ends up in the except-block because int(string_[:4]) contains a bracket, which, obviously, cannot be converted to an int. The parse function is built to parse only one date at a time (e.g. 20150420) in the first place. What am I doing wrong? EDIT: okay, I just read in the pandas doc about the date_parser argument, and it seems to work as expected (of course ;)). So I need to adapt my code to that. My above example is copy&pasted from somewhere else and I expected it to work, hence, my question.. I will report back, when I did my code adaption. EDIT2: My parse function now looks like this, and I think, the code works now. If I am still doing something wrong, please let me know: def parse(t): ret = [] for ts in t: string_ = str(ts) try: tsdt = datetime.date(int(string_[:4]), int(string_[4:6]), int(string_[6:])) except: tsdt = datetime.date(1900,1,1) ret.append(tsdt) return ret
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you can try this parser : parser = lambda x: pd.to_datetime(x, format='%Y%m%d', coerce=True) and use df = pd.read_csv(filen, index_col=None, header=0, parse_dates=[5], date_parser=parser)