I'm new to q and I'm trying to save a file on my Mac. Currently using Jupyter Notebook if that makes a difference.
A quick table:
t:([] c1:`a`b`c; c2:1.1 2.2 3.3)
I first extract my current location by using \cd and i get: "/Users/Gorlomi/Documents/q"
but when I try
`:/Users/Gorlomi/Documents/q set t
I get:
evaluation error:
type
[1] (.q.set)
[0] `:/Users/Gorlomi/Documents/q set t
^
I'm following examples from "Q for Mortals" from the kx website:
https://code.kx.com/q4m3/1_Q_Shock_and_Awe/#11-starting-q
For easy find use cmd (or ctrl) + F and find "t set t"
Thank you in advance.
There are two answers to this question, depending on whether you want to save your file as a flat table, or a splayed table.
If you want to save you table as a flat table, you need to give a file name for your table. Currently, you're just giving it the directory that you want to save it in. So for instance, the following should work for you:
`:/Users/Gorlomi/Documents/q/t set t
If instead, you want to save your table as a splayed table, then you will need to pass it a directory (ideally, one that is not already being used by the file system). To do this, you will pass set a file path with a trailing forward slash. So the following should work for you:
`:/Users/Gorlomi/Documents/q/t/ set t
Related
TLDR: How can I make a notebook cell save its own python code to a file so that I can reference it later?
I'm doing tons of small experiments where I make adjustments to Python code to change its behaviour, and then run various algorithms to produce results for my research. I want to save the cell code (the actual python code, not the output) into a new uniquely named file every time I run it so that I can easily keep track of which experiments I have already conducted. I found lots of answers on saving the output of a cell, but this is not what I need. Any ideas how to make a notebook cell save its own code to a file in Google Colab?
For example, I'm looking to save a file that contains the entire below snippet in text:
df['signal adjusted'] = df['signal'].pct_change() + df['baseline']
results = run_experiment(df)
All cell codes are stored in a List variable In.
For example you can print the lastest cell by
print(In[-1]) # show itself
# print(In[-1]) # show itself
So you can easily save the content of In[-1] or In[-2] to wherever you want.
Posting one potential solution but still looking for a better and cleaner option.
By defining the entire cell as a string, I can execute it and save to file with a separate command:
cell_str = '''
df['signal adjusted'] = df['signal'].pct_change() + df['baseline']
results = run_experiment(df)
'''
exec(cell_str)
with open('cell.txt', 'w') as f:
f.write(cell_str)
I have a specific request. First, I have a Python shell where I print a column of values :
>>> np.savetxt(sys.stdout, np.matrix(bias_new).T)
1.399821417181491778e+00
1.444645285182490690e+00
1.496495907111008439e+00
1.565247584249852775e+00
1.774823934929884883e+00
I have another file edited with vim and I would like to be able to insert this above column of values directly in this file (after the second column of file). For the moment, I can copy in buffer this column by doing CMD+C and on the edited file, I can select a block with CTRL+V but I don't know how to insert directly the buffered column into vim edited file as a third column.
Maybe it is not possible on MacOS. But if it is, this would be nice to explain the way to do it.
Copy the text, then use any of the :put commands with the * register:
:put[!] *
"*p
"*P
"*[p
Etc.
Since you need to paste it as a column, I would suggest pasting as before, the using <C-v> to block-select it, d to delete, then p to paste as column.
I am trying to open an excel file from python, get it to recalculate and then save it with the newly calculated values.
The spreadsheet is large and opens fine in LibreOffice with GUI, and initially shows old values. If I then do a Data->Calculate->Recalculate Hard I see the correct values, and I can of course saveas and all seems fine.
But, there are multiple large spreadsheets I want to do it from so I don't want to use a GUI instead I want to use Python. The following all seems to work to create a new spreadsheet but it doesn't have the new values (unless I again manually do a recalculate hard)
I'm running on Linux. First I do this:
soffice --headless --nologo --nofirststartwizard --accept="socket,host=0.0.0.0,port=8100,tcpNoDelay=1;urp"
Then, here is sample python code:
import uno
local = uno.getComponentContext()
resolver = local.ServiceManager.createInstanceWithContext("com.sun.star.bridge.UnoUrlResolver", local)
context = resolver.resolve("uno:socket,host=localhost,port=8100;urp;StarOffice.ServiceManager")
remoteContext = context.getPropertyValue("DefaultContext")
desktop = context.createInstanceWithContext("com.sun.star.frame.Desktop", remoteContext)
document = desktop.getCurrentComponent()
file_url="file://foo.xlsx"
document = desktop.loadComponentFromURL(file_url, "_blank", 0, ())
controller=document.getCurrentController()
sheet=document.getSheets().getByIndex(0)
controller.setActiveSheet(sheet)
document.calculateAll()
file__out_url="file://foo_out.xlsx"
from com.sun.star.beans import PropertyValue
pv_filtername = PropertyValue()
pv_filtername.Name = "FilterName"
pv_filtername.Value = "Calc MS Excel 2007 XML"
document.storeAsURL(file__out_url, (pv_filtername,))
document.dispose()
After running the above code, and opening foo_out.xlsx it shows the "old" values, not the recalculated values. I know that the calculateAll() is taking a little while, as I would expect for it to do the recalculation. But, the new values don't seem to actually get saved.
If I open it in Excel it does an auto-recalculate and shows the correct values and if I open in LibreOffice and do Recalculate Hard it shows the correct values. But, what I need is to save it, from python like above, so that it already contains the recalculated values.
Is there any way to do that?
Essentially, what I want to do from python is:
open, recalculate hard, saveas
It seems that this was a problem with an older version of LibreOffice. I was using 5.0.6.2, on Linux, and even though I was recalculating, the new values were not even showing up when I extracted the cell values directly.
However, I upgraded to 6.2 and the problem has gone away, using the same code and the same input files.
I decided to just answer my own question, instead of deleting it, as this was leading to a frustration until I solved it.
I want to update nodal values of an existing Abaqus odb file using python script. I already have new nodal valued, but don't how to put them into odb file instead of previous data.
I might be wrong about this, but there is no way of calling some method to replace the existing values in the odb. What you can do, though, is to create a new step and frame (or just a frame in an existing step) and then create a new field output object with the new values.
If you can live with this approach, check documentation for FieldOutput object. You would probably do something like this:
odb = session.odbs['yourOdbName']
instance = odb.rootAssembly.instances['nameOfYourInstance']
field_output = odb.steps['stepName'].frames[frameId].FieldOutput(
name='DefineTheName', description='WhatItRepresents',
type=SCALAR # or whatever other type you need
)
field.addData(
position=NODAL, instance=instance, labels=your_node_labels,
data=your_data
)
After you're done with this, or even better before, try calling the following:
odb = session.odbs['yourOdbName']
del odb.steps['stepWithResults'].frames[frameId].fieldOutputs['variableName']
This is a wild guess but it might work. If it does, you can simply delete the existing field output, create a new one and then save the odb.
Whatever you choose, make sure not to open odb in read-only mode and save the odb and then open it because probably nothing will be visible in the current session.
Django and Python newbie here. Ok, so I want to make a webpage where the user can enter a number between 1 and 10. Then, I want to display an image corresponding to that number. Each number is associated with an image filename, and these 10 pairs are stored in a list in a .txt file.
One way to retrieve the appropriate filename is to create a NumToImage model, which has an integer field and a string field, and store all 10 NumToImage objects in the SQL database. I could then retrieve the filename for any query number. However, this does not seem like such a great solution for storing a simple .txt file which I know is not going to change.
So, what is the way to do this in Python, without using a database? I am used to C++, where I would create an array of strings, one for each of the numbers, and load these from the .txt file when the application starts. This vector would then lie within a static object such that I can access it from anywhere in my application.
How can a similar thing be done in Python? I don't know how to instantiate a Python object and then enable it to be accessible from other Python scripts. The only way I can think of doing this is to pass the object instance as an argument for every single function that I call, which is just silly.
What's the standard solution to this?
Thank you.
The Python way is quite similar: you run code at the module level, and create objects in the module namespace that can be imported by other modules.
In your case it might look something like this:
myimage.py
imagemap = {}
# Now read the (image_num, image_path) pairs from the
# file one line at a time and do:
# imagemap[image_num] = image_path
views.py
from myimage import imagemap
def my_view(image_num)
image_path = imagemap[image_num]
# do something with image_path