sic | 🦜 Accessible image processing and conversion | Computer Vision library
kandi X-RAY | sic Summary
kandi X-RAY | sic Summary
sic (sic image cli) is a front-end for the image crate. Aside from image operations supplied by the image crate, a few additional helpful operations such as diff, are included. Operations provided by the imageproc crate can be enabled by compiling with the imageproc-ops feature. We intend to provide more extensive support for imageproc operations in a future release. sic supports operations on both static and animated images.
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sic Examples and Code Snippets
Lines of Code : 469
License : No License
Copy# Set up logging; The basic log level will be DEBUG
import logging
logging.basicConfig(level=logging.DEBUG)
# Set transitions' log level to INFO; DEBUG messages will be omitted
logging.getLogger('transitions').setLevel(logging.INFO)
# Business as us Community Discussions
Trending Discussions on sic
QUESTION
I am working on a dataset. I have one dataset which has three column company SIC code, the second column is also a company SIC code , and third column is their relationship score between two SIC code.
first dataframe
...ANSWER
Answered 2022-Apr-16 at 07:53import pandas as pd
df20 = pd.DataFrame([
[10, 10, 0],
[10, 12, 15],
[10, 15, 17.9],
], columns=['SIC', 'SIC.1', 'value'])
df21 = pd.DataFrame(
index=[10, 12, 13], columns=[10, 12, 13]
)
for i, row in df20.iterrows():
for SIC in df21.index:
for SIC1 in df21.columns:
if row['SIC'] == SIC and row['SIC.1'] == SIC1:
df21.loc[SIC, SIC1] = row['value']
print(df21)
QUESTION
What is the best way to apply a row-wise function and create multiple new columns?
I have two dataframes and a working code, but it's most likely not optimal
df1 (dataframe has thousands of rows and xx number of columns)
sic data1 data2 data3 data4 data5 5 0.90783598 0.84722083 0.47149924 0.98724123 0.50654476 6 0.53442684 0.59730371 0.92486887 0.61531646 0.62784041 3 0.56806423 0.09619383 0.33846097 0.71878313 0.96316724 8 0.86933042 0.64965755 0.94549745 0.08866519 0.92156389 12 0.651328 0.37193774 0.9679044 0.36898991 0.15161838 6 0.24555531 0.50195983 0.79114578 0.9290596 0.10672607df2 (column header maps to the sic-code in df1. There are in total 12 sic-codes and the dataframe is thousands of rows long)
1 2 3 4 5 6 7 8 9 10 11 12 c_bar 0.4955329 0.92970292 0.68049726 0.91325006 0.55578465 0.78056519 0.53954711 0.90335326 0.93986402 0.0204794 0.51575764 0.61144255 a1_bar 0.75781444 0.81052669 0.99910449 0.62181902 0.11797144 0.40031316 0.08561665 0.35296894 0.14445697 0.93799762 0.80641802 0.31379671 a2_bar 0.41432552 0.36313911 0.13091618 0.39251953 0.66249636 0.31221897 0.15988528 0.1620938 0.55143589 0.66571044 0.68198944 0.23806947 a3_bar 0.38918855 0.83689178 0.15838139 0.39943204 0.48615188 0.06299899 0.86343819 0.47975619 0.05300611 0.15080875 0.73088725 0.3500239 a4_bar 0.47201384 0.90874121 0.50417142 0.70047698 0.24820601 0.34302454 0.4650635 0.0992668 0.55142391 0.82947194 0.28251699 0.53170308I achieved the result I need with the following code:
...ANSWER
Answered 2022-Apr-14 at 08:05Try transposing df2 and applying transformations to it. Transposing a data frame means converting the rows into columns of your data frame.
df2_tr = df2.T.map(lambda col:mapFunc(col),axis=0)
then, you can use concatenate the transformed columns of df2 with the columns of df1, using df1 = pd.concat([df1,df2],axis=1).
QUESTION
I've tried to set up the minimal possible HTTPS server in Java based on Simple Java HTTPS server, with one difference: it uses a dynamically generated certificate signed by a static CA. (The purpose of this is to facilitate man-in-the-middle proxying, but for simplicity I'm just using a regular server here.)
...ANSWER
Answered 2022-Mar-18 at 03:15Here's what ended up working:
QUESTION
I want to get apple's financial data , download https://www.sec.gov/files/dera/data/financial-statement-and-notes-data-sets/2022_01_notes.zip from https://www.sec.gov/dera/data/financial-statement-and-notes-data-set.html.Extract it and put it in the /tmp/2022_01_notes.You can get the table sub,num and field definiton in the webpage https://www.sec.gov/files/aqfsn_1.pdf.
I compute the zip file's MD5 message digest.
...ANSWER
Answered 2022-Mar-06 at 13:11To explain these figures, you have to tie back to the filing from which they were extracted. In this case, the filing with the accession-number of 0000320193-22-000007 is Form 10-Q For the Fiscal Quarter Ended December 25, 2021. If you check in that filing, you'll find, for example, seven of the value numbers in your dataframe in the table Net sales by reportable segment specifically Three Months Ended December 26,2020.
So, for example, 8285000000 refers to the Japan segment for that period, while 15761000000 is in the Net sales by category table for the Services category for the same reporting period. That table contains six more of the values in the dataframe.
QUESTION
I have a folder full of CSV's amounting to a total of 50 files that contain a lot of different data, I am trying to combine them into files that will contain around 500000 entries, as I'll be taking around 10000 rows from every file if possible and combine put them into the new file, like repeat this process for 50 files to make a single file
Right now, I have this code that I've written which I am still stuck with and can not figure out how to continue from here
...ANSWER
Answered 2022-Mar-03 at 14:37My solution does open two CSV files, read them line by line, "glue" the lines together and write them to a third result file. It also checks for an expected header and takes care that this header, if it appears in each input file, is not repeated in the result file.
QUESTION
I have a deeply nested json as below :
...ANSWER
Answered 2022-Feb-07 at 18:39Try the below JSONPath
QUESTION
Consider the code bellow.
...ANSWER
Answered 2022-Jan-31 at 14:58There is an open issue on typing repo for this particular case.
QUESTION
I would like to perform a bootstrap linear regression, because of concerns about normally distributed error terms. I have a data set that is big enough to ignore this fact, but I just want to double check if a linear regression model relying on analytically computed standard errors yields the same results as results obtained from a bootstrapped linear regression.
So far, I have used the follwing code:
...ANSWER
Answered 2022-Jan-29 at 14:51As requested by the OP, this should be the appropriate way to proceed with in his specific case.
It is not necessary (and I would even advise against it) to change the arguments within the function itself. Instead, specify appropriate character stings and integers as arguments in a call to the function. This should be done as follows.
First we specify our linear model.
QUESTION
Related to Security Cloud Run services for end-users and other services
I'm using:
- Firebase Auth to generate id tokens for users with Google, Microsoft, GitHub ... identities
- Cloud Endpoints on Cloud Run to invoke (Cloud Run) gRPC services
- Firebase Auth users are auth'd by one of my services
Where I'm struggling....
My app provides 1 or more Cloud Run services that the app's users should be able to curl. But authenticating Cloud Run services require per-service id tokens; the id token's audience must use the Cloud Run service URL and the Cloud Run service URL is service-specific.
It seems as though I ought to be able to exchange the Firebase Auth id token for (Google Account) id tokens (with appropriate audiences) that can then be used to invoke the Cloud Run service. The proxy could also run on Cloud Run and it would use my app's auth service to verify whether the id token user should be issued with a Google id token.
Guillaume Blaquire's answer proposes either Coud Endpoints or a proxy similar to what I describe above. However, Cloud Endpoints requires that the backend services be known at deploy time (which these Cloud Run services won't be) and I want to provide the user with the id token so that they can use curl or some other tool to make the auth'd request.
Cloud Run has some compelling documentation for Authenticate (sic.) but I want something between:
- Authenticating users -- I have the JWT but I want to receive a Google id token for the Cloud Run service
- Authenticating service-to-service which Guillaume's alternative proposal in the answer.
ANSWER
Answered 2022-Jan-29 at 11:03Rather than place your Cloud Run behind Cloud Endpoints, where you have to know the Cloud Run instances ahead of time, you can handle the request and authentication inside the Cloud Run instance itself.
To be able to handle Firebase Authentication tokens inside the Cloud Run instance, they must be setup so that they can be invoked unauthenticated. Then, inside the Cloud Run, it should launch a web server, parse the incoming request (paying attention to the Authorization header - Firebase Auth sample) and then either action or terminate the request.
To achieve this, take a look at this thread for details on how you can handle both HTTP and service-service requests. Alternatively, you could just deploy the Functions Framework image from which that thread's code is based.
If you want cleaner URLs, host multiple endpoints within a single Cloud Run instance and then place that instance behind Cloud Endpoints or you can take a more manual approach via a custom domain using a service like Firebase Hosting.
QUESTION
I'm relatively new to Python and thought that I had a basic understanding of pip install, but I'm stumped with the following:
ANSWER
Answered 2022-Jan-12 at 22:49From your current folder ., there is probably a file setup.py. In this file you have some extra options. One of them is full that probably contains the full dependencies for the current package.
So the command, try to install the package in the current folder and all its dependencies. full is just a convenient name, it doesn't mean nothing special for pip (or setup.py)
A better explanation is given here
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Install sic
run cargo install sic
download from releases.
Setup rust and cargo (for example using rustup)
Clone this repo: git clone https://github.com/foresterre/sic.git && cd sic
Build a release: cargo build --release
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