tesla | Golang client for the Tesla owner 's API | REST library
kandi X-RAY | tesla Summary
kandi X-RAY | tesla Summary
Package tesla is a client for interacting with the Tesla Owner's API. Unofficial documentation can be found at This package implements all of the documented endpoints, as well as websocket streaming for live data while driving.
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- Authenticate authenticates the connection with the given email and password .
- NewConn creates a new Conn
tesla Key Features
tesla Examples and Code Snippets
Lines of Code : 363License : Permissive (ISC)
Copyconst (
// DefaultBaseURL is the URL for the Tesla owner's API.
DefaultBaseURL = "https://owner-api.teslamotors.com"
)
var (
// TrunkFront is the front trunk, or frunk.
TrunkFront = Trunk("front")
// TrunkRear is the rear trunk.
TrunkRear = Tr def sparse_tensor_dense_matmul(sp_a,
b,
adjoint_a=False,
adjoint_b=False,
name=None):
# pylint: disable=line-too-long
"""M def B_field(r, n, r0, R):
"""
returns the magnetic field from an arbitrary current loop calculated from
eqns (1) and (2) in Phys Rev A Vol. 35, N 4, pp. 1535-1546; 1987.
Parameters
----------
n is normal vector to the pla def get_gpu_type():
"""Retrieves GPU type.
Returns:
String that is the name of the detected NVIDIA GPU.
e.g. 'Tesla K80'
'unknown' will be returned if detected GPU type is an unknown name.
Unknown name refers to any GPU name Community Discussions
Trending Discussions on tesla
QUESTION
I have a 10 year dataset from Tesla returns (2 day difference percentage)
...ANSWER
Answered 2022-Mar-12 at 16:10Use na.locf0 which stands for last occurrence carried forward. Below we have simplified the code. Omit facet = NULL if you want separate panels. The code below does not use dplyr so you can write just lag in place of stats::lag if you don't have dplyr loaded. (dplyr clobbers R's lag with its own incompatible version.)
QUESTION
I am attempting to construct a pie chart of the weighting of certain sectors in a index.
given this sample data frame.
...ANSWER
Answered 2022-Feb-20 at 19:33There are two problems:
- the values need to be numeric, now they are strings
- the individual values shouldn't be put into lists, they need to be just one number, e.g. taking the sum of all values belonging to the same category
As the original data only has one entry per category, the following example adds an extra 'Tech'.
QUESTION
I have this python dictionary and I want to write this data to an Excel file.
NOTE: there are many categories and each category has many cars (I used 2 categories for simplicity)
...ANSWER
Answered 2022-Feb-13 at 20:17TL;DR - the best solution is in the end.
The most straightforward way would be to go over your data and append rows one by one:
QUESTION
Companies are allowed to create their own concepts. The conccept AccruedAndOtherCurrentLiabilities is generated by tesla. Get all us-gaap concepts from ssec's RESTful api with python code:
ANSWER
Answered 2022-Jan-25 at 11:38If I understand you correctly, one way to get the company's US GAAP taxonomy concept extensions (there may be others) is to do the following. Note that the data is in xml format, not json, so you will need to use an xml parser.
If you look at the company's 10-K filing for 2020, for example, you will notice that, at the bottom, there is a list of data files, the first one described as "XBRL TAXONOMY EXTENSION SCHEMA" and named "tsla-20201231.xsd". That's the file you're looking for. Copy the url and get started. BTW, it's probably possible to automate all this, but that's a different topic.
QUESTION
I am dealing with probably simple yet difficult problem for me. I am taking photos of parked cars and save them by car's plate and timestamp it. Same car could be photographed several times during the day.
Sample Data
Plate Brand Model InsertDate 99AA111 Tesla S 2022-01-17 04:00:00 99AA111 Tesla S 2022-01-17 04:30:00 99AA111 Tesla S 2022-01-17 05:00:00 59TA3312 Nissan Skyline 2022-01-17 04:00:00 59TA3312 Nissan Skyline 2022-01-17 04:30:00 129EA512 Subaru Impreza 2022-01-17 03:30:00What i am trying to achieve is;
Plate Brand Model FirstPhotoDate SecondPhotoDate 99AA111 Tesla S 2022-01-17 04:00:00 2022-01-17 04:30:00 99AA111 Tesla S 2022-01-17 05:00:00 - 59TA3312 Nissan Skyline 2022-01-17 04:00:00 2022-01-17 04:30:00 129EA512 Subaru Impreza 2022-01-17 03:30:00 -I have came up with;
...ANSWER
Answered 2022-Jan-16 at 22:25Well, having (let use named tuple to demo):
QUESTION
I have a df:
ANSWER
Answered 2021-Dec-30 at 09:06If original ordering is not important, use DataFrame.stack:
QUESTION
My function is receiving a JsValue, now this json have lists, and this lists element could also be lists, for example:
ANSWER
Answered 2021-Nov-09 at 13:58As you can see in the documentation, you can use the Reads typeclass to define the way to decode types from JSON.
QUESTION
I have these classes:
...ANSWER
Answered 2021-Nov-04 at 06:56Your first solution is incorrect given that you required a non editable BRAND for an electric car.
Your second solution just doesn't work at all excepted if you override both getter and setter of brand field to use your static field, which is not "elegant and mantainable"
Your third solution doesn't make use of object oriented concept.
A simple solution I would use is to let the field brand and its getter in Car superclass, but I'd only define the setter in the CombustionCar class. Alternatively, if you extend your model, you could create an intermediate abstract superclass "FreeBrandCar" which implements the setter.
Solution with the setter in CombustionCar
QUESTION
I'm writing a inference script for already trained NER model, but I have trouble with converting encoded tokens (their ids) into original words.
...ANSWER
Answered 2021-Sep-22 at 14:13Provided you only want to "merge" company names one could do that in a linear time with pure Python.
Skipping the beginning of sentence token [CLS] for brevity:
QUESTION
My Data-Structure looks like this:
...ANSWER
Answered 2021-Sep-08 at 19:01Query
- lookup with it self, join only with the type that the id=3 has.
- empty join results => different type so they are filtered out
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