I use smartgrid with 'in the grid' edition of values. To do this, I use the .represent function to add the row_id to the variable name, so that I can retrieve what to update in request.post_vars, where I can retrieve the list of filed name, ids, with the submitted value.
But I'd like to identify what has been changed by the user in the smartgrid without making an additional I/O in the DB. Is there a global variable where the form fields and initial values are recorded before user change ? Or a function to extract form fields and values before sending it to the view?
db.define_table('cny',Field('f_cny'))
def tst():
tb = db.cny
if len(request.post_vars) >0:
d = {}
for k,v in request.post_vars.iteritems():
(f,sep,r) = k.partition('_r_')
if r:
if not r in d:
d[r] = {}
d[r][f] = v #should only be done if d[r][f] was changed!!!
for r in d:
if len(d[r]):
db(tb.id==r).update(**d[r])
tb.f_cny.represent=lambda v,r:string_widget(tb.f_cny, v, **{'_name':'f_cny_r_%s' % r.id})
f = SQLFORM.smartgrid(tb,
linked_tables=[],
selectable=(lambda ids:redirect(URL(request.controller,request.function,args=request.args))))
return dict(f=f)
Related
I have a polygon file in form of a fishnet. Also another feature class with polygons named Trawl_Buffers. There is a unique field within Trawl_Buffers based on YEAR. I'd like to create a script to run a selection on YEAR, and then perform a union analysis with the fishnet polygon for each YEAR. So the desired output would be "Trawl_Buffers_union2003", "Trawl_Buffers_union2004" etc. I have a function that will get me the unique list of the years, and puts them in a list which i called vals.
Then seems I need to run a for loop over this list of unique years, create a temporary selection, then use that as input for the union, but I am having trouble implementing the query process.
Here is where I started, but seriously tripping
import arcpy
#Set the data environment
arcpy.env.overwriteOutput = True
arcpy.env.workspace = r'C:\Data\working\AK_Fishing_VMS\2021_Delivery\ArcPro_proj\ArcPro_proj.gdb'
trawlBuffs = r'C:\Data\working\AK_Fishing_VMS\2021_Delivery\ArcPro_proj\ArcPro_proj.gdb\buffers\buffers_testing'
fishnet = r'C:\Data\working\AK_Fishing_VMS\2021_Delivery\ArcPro_proj\ArcPro_proj.gdb\fishnets\vms_net1k'
unionOut = r'C:\Data\working\AK_Fishing_VMS\2021_Delivery\ArcPro_proj\ArcPro_proj.gdb\unions\union'
# function to get unique values for the YEAR field found within the trawlBuffs fc
def unique_values(table, field):
with arcpy.da.SearchCursor(table, [field]) as cursor:
return sorted({row[0] for row in cursor})
# Get the unique values for the field 'YEAR' found within the 'trawl_buffs' featureclass table
vals = unique_values(trawlBuffs, "YEAR")
# Create a query string for the selected country
yearSelectionClause = '"YEAR" = ' + "'" + vals + "'"
#loop through the years, create selection, union, make permanent
for year in vals:
year_layer = str(year) + "_union"
arcpy.MakeFeatureLayer_management(trawlBuffs, year_layer)
arcpy.SelectLayerByAttribute_management(year_layer, "NEW_SELECTION", "\"YEAR"\" = %d" % (year))
arcpy.Union_analysis(fishnet, year_layer , unionOut)
arcpy.CopyFeatures_management(year_layer, "union_" + str(year))
I created a form in Infopath with a rich text box field. The field is used to keep a list of usernames (first and last). I want to be able to keep a of count each entry and keep a tally. I then want to use that total # of entries to add or subtract from other fields. Is there any way to do that?
Is the rich text box field just a large string? If so you could just use python's built in split function, and either split by ("\r\n"), or (",").
Example:
u = "Bob, Michael, Jean"
x = u.split(",")
X will be a list of usernames. If you are using line breaks for each new username, then replace (",") with ("\r\n").
Now to count the items in a list you just need to iterate on the list you created with a for loop.
Example:
b = 0
u = "Bob, Michael, Jean"
x = u.split(",")
for i in x:
b += 1 // b will be the number of usernames
I'm using RJDBC in RStudio to pull a set of data from an Oracle database into R.
After loading the RJDBC package I have the following lines:
drv = JDBC("oracle.jdbc.OracleDriver", classPath="C:/R/ojdbc7.jar", identifier.quote = " ")
conn = dbConnect(drv,"jdbc:oracle:thin:#private_server_info", "804301", "password")
rs = dbSendQuery(conn, statement= paste("LONG SQL QUERY TO SELECT REQUIRED DATA INCLUDING REQUEST FOR VARIABLE x"))
masterdata = fetch(rs, n = -1) # extract all rows
Run through the usual script, they always execute without fail; it can sometimes take a few minutes dependent on variable x, e.g. may result in 100K rows or 1M rows being pulled. masterdata will return everything in a dataframe.
I'm now trying to place all of the above into a function, with one required argument, variable x which is a TEXT argument (a city name); this input however is also part of the LONG SQL QUERY.
The function I wrote called Data_Grab is as follows:
Data_Grab = function(x) {
drv = JDBC("oracle.jdbc.OracleDriver", classPath="C:/R/ojdbc7.jar", identifier.quote = " ")
conn = dbConnect(drv,"jdbc:oracle:thin:#private_server_info", "804301", "password")
rs = dbSendQuery(conn, statement= paste("LONG SQL QUERY TO SELECT REQUIRED DATA,
INCLUDING REQUEST FOR VARIABLE x"))
masterdata = fetch(rs, n = -1) # extract all rows
return (masterdata)
}
My function appears to execute in seconds (no error is produced) however I get just the 21 column headings for the dataframe and the line
<0 rows> (or 0-length row.names)
Not sure what is wrong here; obviously expecting function to still take minutes to execute as data being pulled is large, but not being returned any actual data frame.
Help is appreciated!
if you want to parameterize your query to a JDBC database, try also using the gsubfn package. code might look like this:
library(gsubfn)
library(RJDBC)
Data_Grab = function(x) {
rd1 = x
df <- fn$dbGetQuery(conn,"SELECT BLAH1, BLAH2
FROM TABLENAME
WHERE BLAH1 = '$rd1')
return(df)
basically, you need to put a $ before the variable name that stores the parameter you wish to pass.
Say i have a csv containing exactly one column Name, here's the first few values:
Name
A
B
B
C
C
C
D
Now i wish to create a bar plot using dimple.js that displays the distribution of the Name (i.e the count of each distinct Name) but i can't find a way to do that in dimple without having the actual counts of each name. I looked up the documentation of chart.addMeasureAxis(
https://github.com/PMSI-AlignAlytics/dimple/wiki/dimple.chart#addMeasureAxis) and found that for the measure argument:
measure (Required): This should be a field name from the data. If the field contains numerical values they will be aggregated, if it contains any non-numeric values the distinct count of values will be used.
So basically what that says is it doesn't matter how many times each category occurred, dimple is just going to treat each of them as if they occurred once ??
I tried the following chart.addMeasureAxis('y', 'Name') and the result was a barplot that had each bar at value of 1 (i.e each name occurred only once).
Is there a way to achieve this without changing the data set ?
You do need something else in your data which distinguishes the rows:
e.g.
Type Name
X A
Y A
Z A
X B
Y B
A C
You could do it with:
chart.addCategoryAxis("x", "Name");
chart.addMeasureAxis("y", "Type");
or add a count in:
Name Count
A 1
A 1
A 1
B 1
B 1
C 1
Then it's just
chart.addCategoryAxis("x", "Name");
chart.addMeasureAxis("y", "Count");
But there isn't a way to do it with just the name.
Hope this helps.. First use d3.nest() to get the unique values of the dataset. then add the count of each distinct values to the newly created object.
var countData = d3.nest()
.key(function (d) {
return d["name];
})
.entries(yourDate);
countData.forEach(function (c) {
c.count = c.values.length;
});
after this created the dimple chart from the new "countData Object"
var myChart = new dimple.chart(svg, countData);
Then for 'x' and 'y' axis,
myChart.addCategoryAxis("x", "key");
myChart.addMeasureAxis("y", "count");
Please look in to d3.nest() to understand the "countData" object.
Basically:
I am making a game in the LÖVE Engine where you click to create blocks
Every time you click, a block gets created at your Mouse X and Mouse Y
But, I can only get one block to appear, because I have to name that block (or table) 'object1'
Is there any way to create table after table with increasing values? (like object1{}, object2{}, object3{}, etc... But within the main table, 'created_objects')
But only when clicked, which I suppose rules out the looping part (but if it doesn't please tell me)
Here's my code so far, but it doesn't compile.
function object_create(x, y, id) **--Agruments telling the function where the box should spawn and what the ID of the box is (variable 'obj_count' which increases every time a box is spawned)**
currobj = "obj" .. id **--Gives my currently created object a name**
crob.[currobj] = {} **--Is supposed to create a table for the current object, which holds all of its properties. **
crob.[currobj].body = love.physics.newBody(world, x, y, "dynamic")
crob.[currobj].shape = love.physics.newRectangleShape(30, 30)
crob.[currobj].fixture = love.physics.newFixture(crob.[currobj].body, crob.[currobj].shape, 1) **--The properties**
crob.[currobj].fixture:setRestitution(0.3)
But what should I replace [currobj] with?
Solved
Found what I was looking for. Here's the code if people are wondering:
function block_create(x, y, id) --(the mouse x and y, and the variable that increases)
blocks[id] = {}
blocks[id][1] = love.physics.newBody(world, x, y, "dynamic")
blocks[id][2] = love.physics.newRectangleShape(45, 45)
blocks[id][3] = love.physics.newFixture(blocks[id][1], blocks[id][2])
blocks[id][3]:setRestitution(0.2)
blocks[id][4] = math.random(0, 255) --The Color
blocks[id][5] = math.random(0, 255)
blocks[id][6] = math.random(0, 255)
blockcount = blockcount + 1
i would probably do something like this.
local blocks = {} -- equivalent of your crob table
function create_block(x, y)
local block = funcToCreateBlock() -- whatever code to create the block
table.insert(blocks, block)
return block
end
if you wanted to get a reference to the block you just created with the function, just capture it.
-- gives you the new block, automatically adds it to the list of created blocks
local new_block = create_block(0, 10)
that sticks block objects in your block table and automatically gives each one a numeric index in the table. so if you called create_block() 3 times for 3 different mouse clicks, the blocks table would look like this:
blocks = {
[1] = blockobj1,
[2] = blockobj2,
[3] = blockobj3
}
you could get the second block obj from the blocks table by doing
local block2 = blocks[2]
or you could loop over all the blocks in the table using pairs or ipairs
for idx, block in pairs(blocks) do
-- do something with each block
end
sorry if this doesn't exactly answer your question. but from what you wrote, there didn't seem to be a real reason why you'd need to name the blocks anything specific in the crob table.
If you want those tables to be global, then you can do something like:
sNameOfTable = "NAME"
_G[sNameOfTable] = {1,2}
and then you will have a table variable NAME as depicted here (Codepad).
Otherwise, if you want it to be a child to some other table, something like this would also do:
tTbl = {}
for i = 1, 20 do
local sName = string.format( "NAME%02d", i )
tTbl[sName] = {1,2}
end
for i, v in pairs(tTbl) do
print( i, v )
end
Don't worry about the unsorted output here(Codepad). Lua tables with indexes need not be sorted to be used.