DROP | Drone Parser | Continous Integration library
kandi X-RAY | DROP Summary
kandi X-RAY | DROP Summary
Drone Parser
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Top functions reviewed by kandi - BETA
- Parse a GPS packet
- Convert to Euler
- Compute the quaternion of a quaternion
- Parses the payload
- Decodes the given payload into a bytes object
- Generate a KML file
- Generate the KML element
- Parse the packet
- Parse quaternion from payload
- Adds a GPS packet
- Get the items from the payload
- Parse latitude and longitude data
- The coordinates of the node
- Add coordinates
- Create a new data set
- Creates a new GxSoundCue
- Creates a new GxWait primitive
- Creates a new GxTourControl object
- Return a new GxAnimatedUpdate object
- Create a new feature string
- Creates a new GxFlyto object
- Create a Folder feature feature
- Create a new feature overlay
- Create a new network link
- Create a new LineString feature
- Create a new polygon feature
DROP Key Features
DROP Examples and Code Snippets
Community Discussions
Trending Discussions on DROP
QUESTION
I've ran into problem getting UI lags when this line is running:
...ANSWER
Answered 2021-Jun-16 at 00:29I don't believe you can use SharedPreferences within an Isolate without support for MethodChannel / accessing platform-specific underlying OS frameworks on iOS / Android.
You would need to use FlutterIsolate or a similar package to provide that support.
chunhunghan has a good answer detailing this.
Alternatively, you could run the crypt.generateKeys()
by itself in your Isolate.spawn()
call and use the results after in a separate method accessing SharedPreferences
. (Assuming that crypt
package is also not relying on platform-specific code.)
QUESTION
I have a column with the datatype 'object', but it actually contains numbers (408, 415, 510) with no missing values. I want to convert this to integer with the code below, but I get the error: invalid literal for int() with base 10: 'A415' (I added the first line of code after reading other posts, but I get the same error even if I drop the first line of code).
...ANSWER
Answered 2021-Jun-15 at 23:03Looks like there is a "A415" value in your column. Could be a typo?
You can check if this is the case by getting a list of the unique values in this pandas column, like below. This is a quick way of knowing if all values look alright.
QUESTION
Consider this dataframe:
...ANSWER
Answered 2021-Jun-15 at 20:30Try:
QUESTION
I am querying a database for an item using R2DBC and Spring Integration. I want to extend the transaction boundary a bit to include a handler - if the handler fails I want to roll back the database operation. But I'm having difficulty even establishing transactionality explicitly in my integration flow. The flow is defined as
...ANSWER
Answered 2021-Jun-15 at 18:32Well, it's indeed not possible that declarative way since we don't have hook for injecting to the reactive type in the middle on that level.
Try to look into a TransactionalOperator
and its usage from the Java DSL's fluxTransform()
:
QUESTION
I am using Formik for a bunch of admin console forms that I have in my application. So far I did not have this use case.
My Formik forms use one of 2 custom components, either a Myinputtext(input box) or a MySelect(drop down). I dont have a need for any other components so far. Here is how my Myselect component looks like.
...ANSWER
Answered 2021-Jun-15 at 15:19You need to map your array and render options inside your select like this:
QUESTION
I have a dataframe output from the python script which gives following output
Datetime High Low Time 546 2021-06-15 14:30:00 15891.049805 15868.049805 14:30:00 547 2021-06-15 14:45:00 15883.000000 15869.900391 14:45:00 548 2021-06-15 15:00:00 15881.500000 15866.500000 15:00:00 549 2021-06-15 15:15:00 15877.750000 15854.549805 15:15:00 550 2021-06-15 15:30:00 15869.250000 15869.250000 15:30:00i Want to remove all rows where time is equal to 15:30:00. tried different things but unable to do. Help please.
...ANSWER
Answered 2021-Jun-15 at 15:55The way I did was the following,
First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.
Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.
rm_time = dt.time(15,30)
With this, we can go about using the DataFrame.drop()
df.drop(df[df.Datetime.dt.time == rm_time].index)
QUESTION
I have a dataframe where I want to group rows based on a column. Some of the columns in the rows I want to sum up and the others I want to aggregate as a list.
...ANSWER
Answered 2021-Jun-15 at 15:15Use groupby.aggregate
QUESTION
I am trying to remove duplicates based on the column item_id
from a dataframe df
.
df
:
ANSWER
Answered 2021-Jun-15 at 14:29You can apply a function to the column that will make the item_id "uniform", then can drop_duplicates()
QUESTION
This question is related to Azure MSIX Build and Package task only has Release and Debug configurations
We have a WinForms project that has an MSIX installer. Manually, we can successfully create
- An MSIXBUNDLE and deploy it to Kudu
- An MSIX and deploy it to an Azure VM through a VHDX. We have manually convert the MSIX to a VHDX first
We are now trying to automate the build and release process to create the VHDX. However, we are getting a blank screen when the VHDX is mounted using a process that we have already validated. The only thing different is the build method (i.e., MSBuild versus VS Publish).
How do we create a working VHDX in Azure CI Build Pipeline?
Below is the YAML.
...ANSWER
Answered 2021-Jun-15 at 14:26Actually, there is nothing wrong with the YAML. The problem was a delay in the virtual machine loading the VHDX. In other words, wait about 5 minutes once the VHDX is mounted before trying to run the application. I am leaving this here in case anyone else runs into this issue
.
QUESTION
I try to write a (postgres) sql query which returns the last rows before a specific numeric column drops below it's preceding value, for multiple services
.
Let's say the given data looks like:
...ANSWER
Answered 2021-Jun-15 at 12:28Based on your data, you want to see where the values increase from the value on the immediately preceding value for that service. For that, use lag()
:
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Install DROP
You can use DROP 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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