api-python | Python API for NWB | REST library
kandi X-RAY | api-python Summary
kandi X-RAY | api-python Summary
[DEPRECATED] Python API for NWB < 2.0
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Top functions reviewed by kandi - BETA
- Generate dsinfo for a given value
- Make str
- Return a dictionary of datags
- Get the dtype and shape of the object
- Validate all options
- Append a value to the dataset
- Print error message
- Read the Whisker data file
- Set attribute value
- Load format specifications from file
- Open a file
- Create trials from the hdf5 file
- Recursively parse an hdf5 object
- Add a time series to the epoch
- Create ROI map for each trial
- Return the default dtype of the dataset
- Fetch all ROIs for a given image
- Process merge_into section
- Generate test summary summary
- Set an attribute
- Add a reference image
- Create reference image
- Recursively parse an h5 object
- Saves node in file
- Load the node tree
- Create a new nwb_core
- Create documentation for a file
- Create a new group
- Create link
api-python Key Features
api-python Examples and Code Snippets
Community Discussions
Trending Discussions on api-python
QUESTION
What is the difference between Arrow IPC and Feather?
The official documentation says:
Version 2 (V2), the default version, which is exactly represented as the Arrow IPC file format on disk. V2 files support storing all Arrow data types as well as compression with LZ4 or ZSTD. V2 was first made available in Apache Arrow 0.17.0.
While vaex, a pandas alternative, has two different functions, one for Arrow IPC and one for Feather. polars, another pandas alternative, indicate that Arrow IPC and Feather are the same.
...ANSWER
Answered 2021-Jun-09 at 20:18TL;DR There is no difference between the Arrow IPC file format and Feather V2.
There's some confusion because of the two versions of Feather, and because of the Arrow IPC file format vs the Arrow IPC stream format.
For the two versions of Feather, see the FAQ entry:
What about the “Feather” file format?
The Feather v1 format was a simplified custom container for writing a subset of the Arrow format to disk prior to the development of the Arrow IPC file format. “Feather version 2” is now exactly the Arrow IPC file format and we have retained the “Feather” name and APIs for backwards compatibility.
So IPC == Feather(V2). Some places refer to Feather mean Feather(V1) which is different from the IPC file format. However, that doesn't seem to be the issue here: Polars and Vaex appear to use Feather to mean Feather(V2) (though Vaex slightly misleadingly says "Feather is exactly represented as the Arrow IPC file format on disk, but also support compression").
Vaex exposes both export_arrow
and export_feather
. This relates to another point of Arrow, as it defines both an IPC stream format and an IPC file format. They differ in that the file format has a magic string (for file identification) and a footer (to support random access reads) (documentation).
export_feather
always writes the IPC file format (==FeatherV2), while export_arrow
lets you choose between the IPC file format and the IPC stream format. Looking at where export_feather
was added I think the confusion might stem from the PyArrow APIs making it obvious how to enable compression with the Feather API methods (which are a user-friendly convenience) but not with the IPC file writer (which is what export_arrow
uses). But ultimately, the format being written is the same.
QUESTION
We are using conda to maintain a python environment and I'd like to understand why google-cloud-bigquery==1.22.0 is being installed when the latest available version is https://pypi.org/project/google-cloud-bigquery/2.16.1/ and the latest vaailable version on conda-forge (https://anaconda.org/conda-forge/google-cloud-bigquery) is 2.15.0
Here's a Dockerfile that builds our conda environment:
...ANSWER
Answered 2021-May-14 at 10:19To answer your last question first:
QUESTION
I Have few questions about google classroom batch requests
I see this notice in documentation page "The Classroom API is currently experiencing issues with batch requests. Use multithreading for heavy request loads, instead.". But the notice below, leads me to a blog post saying if I use a proper client library version and only send homogeneous requests, it is still fine. So is this notice about Classroom API batch requests having issues still valid with a proper client library(google-api-python-client==1.7.11)?
This one is not about batch requests, but leads to the third question below. When we list courses/teachers/students there is a page-size parameter. If it's below 30 it returns correct number but anything above 30 it still returns 30 and I have to send second request to get the rest. Is this behavior documented somewhere?
With batch requests when requests have more results like in Q2, is there a proper way to gather rest of the results. What I have so far is something like this.
ANSWER
Answered 2021-May-05 at 07:54The warning on top of the page refers to batch requests in general. This certainly includes whatever libraries you use, as long as they are using the same API (and of course, that's the case for the official Python library).
The blog post you mention is about discontinuing support for global batch endpoints, so that batch requests have to be API-specific from now on. That's totally unrelated to the current issues regarding Classroom API batch requests. It's also older than the warning, and is not taking those problems into account.
pageSize maximum value:The documentation for pageSize
doesn't specify the maximum value. For teachers.list and students.list mentions the default value (30). If you're setting a value higher than 30 and still returning only 30, chances are that's the maximum value too.
This doesn't seem to be documented, though:
pageSize: Maximum number of items to return. The default is 30 if unspecified or 0.
Beware, that doesn't seem to be the limit for courses.list (no default pageSize
is mentioned, and a call to it retrieves way more than 30).
You cannot request multiple pages from a list
request at once using batch requests, since you need the nextPageToken
from the previous page to request the next page (using pageToken
). That is to say, you have to make one request after the other.
QUESTION
Received an import error after upgrading to airflow2.0.2-python3.7 image. Package seems to be installed, not sure what is causing the issue and how to fix it. Tried to uninstalling and reinstalling the packages but that does not work either.
...ANSWER
Answered 2021-Apr-22 at 12:15It's a bug (harmless) in definition of the google provider 2.2.0 in fact:
In provider.yaml
:
airflow.providers.google.common.hooks.leveldb.LevelDBHook
should be:
airflow.providers.google.leveldb.hooks.LevelDBHook
This was fixed in https://github.com/apache/airflow/pull/15453 and will be available in next version of google provider.
QUESTION
I'm trying to fetch all issues in JIRA for all projects. When doing the call one at a time, it works perfect. When trying to run it in a for loop I'm prompted with a 400 Client error.
The way that works:
...ANSWER
Answered 2021-Apr-22 at 11:29I found the very simple solution.
In this snippet: results = jira_instance.jql(f"project = {key})", limit = 1000, fields=["issuetype", "status", "summary"])
The )
after {key}
was not supposed to be there.
Thank you for the help
QUESTION
I am writing a python application that uses the Google Admin SDK to search for users in the user directory. I need to search users by the External ID or the Employee ID, it doesn't seem to be implemented in the python library (https://github.com/googleapis/google-api-python-client#installation), but there is support from google as it says in their official docs, see (https://developers.google.com/admin-sdk/directory/v1/guides/search-users#examples)
I would really appreciate it if someone can help point things out.
...ANSWER
Answered 2021-Apr-06 at 15:41It is possible to search for user by the external Id using the query parameter query
.
- Check the Python Quickstart
- Use the method users.list
- Define the customer. You can use
my_customer
- Define your query. Example:
query = 'externalId:someValue'
- Get the users that match the result of the
list
QUESTION
So I don't think its a surprise to anyone but Google's documentation is god awful. It's so scattered and the Python docs still reference their old depreciated library. Anyways.
So what I really needed to look at was this link "Enabling Server Side Access for your App". This is not linked to anywhere. Keep in mind this is entirely different than "Authenticating with a Backend Server"
This was a start. On the iOS side of things, we need to specify the server or backend's client_id
.
ANSWER
Answered 2021-Mar-14 at 21:51So I don't think its a surprise to anyone but Google's documentation is god awful. It's so scattered and the Python docs still reference their old depreciated library. Anyways.
So what I really needed to look at was this link "Enabling Server Side Access for your App". This is not linked to anywhere. Keep in mind this is entirely different than "Authenticating with a Backend Server"
This was a start. On the iOS side of things, we need to specify the server or backend's client_id
.
QUESTION
I'm trying to setup DVC with Google Drive storage as shown here. So far, I've been unsuccessful in pushing data to the remote. I tried both with and without the Google App setup.
After running a dvc push -v
, the following exception is shown:
ANSWER
Answered 2021-Mar-05 at 06:56Can you try to install google-api-python-client==1.12.8
and test in that way?
Edit:
It appears to be that, this was a bug in the 2.0.0-2.0.1 of google-api-client and resolved in 2.0.2. So this should also work google-api-python-client>=2.0.2
QUESTION
I set up a venv for my project and ran pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib to get the Google packages (after activating the venv).
When I attempt to run the Python Quickstart code (which I copy/pasted into my VScode project) I get the error: ModuleNotFoundError: No module named 'google_auth_oauthlib'. I ran pip list and verified that version 0.4.2 is installed.
My setup: MacOS 10.15.07 VScode 1.53.2 venv Python 3.7.7
...ANSWER
Answered 2021-Mar-04 at 09:40To be sure, activate the virtual environment in the shell you will use to run the quickstart and run pip freeze
. Additionally make sure your the python you are using is the one in the venv. You can do which python
QUESTION
From today, I started getting error while installing modules from requirements.txt
, I tried to find the error module and remove it but I couldn't find.
ANSWER
Answered 2021-Jan-17 at 12:41Create a list of all the dependencies and run the following code.
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You can use api-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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