lignite | Program LEGO Mindstorms EV3 in Ruby
kandi X-RAY | lignite Summary
kandi X-RAY | lignite Summary
Lignite is a set of Ruby tools to interact with LEGO Mindstorms EV3. It uses the original LMS2012 firmware, so ev3dev is not required. At this point the tools are still rather a thin wrapper so it will be useful to have the EV3 Firmware Developer Kit and EV3 Communication Developer Kit documents at hand for reference: see the "Advanced Users – Developer Kits" section of the Mindstorms Downloads page.
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Top functions reviewed by kandi - BETA
- loads the system .
- Write a file .
- draws a keyboard
- Open a file .
- Sets the input data for a device .
- Update a text box in a file .
- Write a BIFF record .
- Draws a chart barcode .
- Generate a QR string for a specific question .
- draws a string .
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QUESTION
I have a simple Spring Boot project in which a scheduler periodically consumes a RESTful API and converts the incoming JSON file.
The JSON file is actually an array of Objects with some Keys and Values:
...ANSWER
Answered 2019-Sep-10 at 06:38The second and third approaches should work fine. You need to check your json response structure.
You could use following jsons for tests (they work with your code):
Second approach:
QUESTION
Well I checked the question Remove index name in pandas, and it is not working for my case.
So I had a df, I normalized it with pandas melt
, then I denormalize it with pivot_table
. Now I have the following df, but I want to remove this index name variable
.
Here is the df:
...ANSWER
Answered 2019-Feb-28 at 08:03You can use rename_axis
:
QUESTION
I have the following pandas df and I would like to normalize it:
...ANSWER
Answered 2019-Jan-16 at 15:43IIUC
QUESTION
I have the following pandas df:
...ANSWER
Answered 2019-Jan-09 at 12:06Solution with MultiIndex
:
QUESTION
I have the following df:
...ANSWER
Answered 2018-Dec-20 at 09:25You can work around this by specifying the data type of your column like this:
QUESTION
Here is my test table(Still have many more columns). I have just shown some of the columns here.
...ANSWER
Answered 2018-Aug-15 at 15:11You seems want :
QUESTION
There is an odd behavior when I try to get the index of a dataframe.
Let us consider following dataframe:
IN:
...ANSWER
Answered 2017-Dec-20 at 13:07Edited by Icedkk:
Turns out, this behavior of pandas is common and is a bug mentioned in https://github.com/pandas-dev/pandas/issues/7614 , https://github.com/pandas-dev/pandas/issues/2770 , and https://github.com/pandas-dev/pandas/issues/12822
.remove_unused_levels() is somehow only way to fix this unusual behavior.
You need MultiIndex.remove_unused_levels
and assign back:
QUESTION
I would like to select a row called 'Mid', without losing it's index 'Site'
Following code shows the dataframe:
...ANSWER
Answered 2017-Dec-19 at 11:59I believe you need xs
:
QUESTION
DATA
...ANSWER
Answered 2017-May-02 at 22:30You can shorten this a bit by using data.table::dcast
which will spread out your data into columns. You can then use rowSums to calculate the percentage in one step. While there may be a better way to do this I wrapped this approach for each column in a loop:
QUESTION
I have this data.frame
DATA
...ANSWER
Answered 2017-Mar-07 at 22:01This isn't too bad, just a little renaming and joining.
First we'll want dependencies in a nice two-column format. You can use reshape2::melt
or tidyr::gather
on the wide dependencies you posted to make them long:
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