QWER | Industry standard move , rotate and scale interaction | Graphics library
kandi X-RAY | QWER Summary
kandi X-RAY | QWER Summary
Industry standard move, rotate and scale interaction for Blender 2.80. This is a simple addon and accompanying keymaps that make the transform tools and select active tools work in a way more similar to other DCCs while also making the traditional Blender fast transform tools more discoverable. Currently, the move rotate and scale operations can be triggered via shortcut key or using the QWER tab in the N panel. There is also a "Tweak Better" modifier that is meant to take the place of the tweak behavior in the Select Active Tool. What this all means is that the move rotate and scale Active Tools never need to be used. They are replaced with the QWER Panel tools which basically just activate the Gizmos currently found in the Viewport Gizmos dropdown in the 3d View. These work independently of the other Active Tools, meaning you can have Box Select, Circle Select, or Lasso select enabled and a drag in the viewport makes a selection instead of transforming (as in the transform active tools). If instead, you have the Select active tool enabled, a drag will perform the action of whatever Gizmo is currently active. If you have no gizmo active, the tool performs as usual with a move tweak action. Multiple gizmos active will transform based on the highest selected transform type (Move taking precedence over Rotate).
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Invoke dialog .
- Draw layout .
- Draw topbar panel
- Execute Qwer .
- Draw QWER_GUI
- Register the plugin .
- Unregisters all widgets
- Run modal .
QWER Key Features
QWER Examples and Code Snippets
Community Discussions
Trending Discussions on QWER
QUESTION
I'm using SSIS and trying to import a csv file. However, only 1 field has a text qualifier - double quotes " - which in turn also contains commas. Even if I specify the " as a qualifier, SSIS seems to ignore this and still splits the data into the next field - is there a solution or do all columns need the qualifier for it to work?
This is an example of the data:
...ANSWER
Answered 2022-Apr-04 at 11:01The problem is your file, it's malformed. You have leading spaces prior to your values ( 123) and a mismatch of columns in your rows; the header has 5 columns and the data row 4 columns. For a value to be correctly text qualified the qualifier must be at the start of the value:
" QWER,ASD" Correct
"QWER,ASD" Incorrect
You need to fix your file first. Presumably you don't want the leading spaces, so it should look like this:
QUESTION
Below I am creating 3 dataframes. df2 and df3 are both nested dataframes of df1. I am then trying to use .apply() on all the nested dataframes, and ultimately add a new column to the outer dataframe that is essentially a revised version of the nested dataframes.
I would like to apply the function below to all of the elements (dataframes) that could be found in the 'df_name' column of df1. I also need to pass other column values from df1 into the .apply() function that are on the same row - ie. the value 'sp' needs to be known when running on the .apply() function to df2.
In the attempt below, I would grateful for some insight on:
-how to access the nested dataframes with the .apply() function and refer to values from the same row/different column of df1.
-is there a way to approach this using vectorization?
ANSWER
Answered 2022-Mar-15 at 00:15Try changing your cmpngs function to take a single parameter - row, and call apply on the whole dataframe instead of just the df_name column, and with axis=1:
QUESTION
I need to get a list of unique client computer names/ip addresses that are accessing a server from the access logs of the server.
The target log line looks like this:
...ANSWER
Answered 2022-Mar-01 at 15:23Note you are using a POSIX BRE regex flavor since you do not pass -E/-r nor -P options to change the regex flavor from the default one. \(...\) defines a capturing group in POSIX BRE. There are more issues here though.
You need to use
QUESTION
I have a dataframe like as shown below
...ANSWER
Answered 2022-Feb-22 at 10:43Use this solution in loop:
QUESTION
I have two dataframes like as shown below
...ANSWER
Answered 2022-Feb-07 at 14:40# list comprehension to find where rare is in the feature col
tdf['feature'] = [x if y.lower()=='rare' else x+'='+y for x,y in tdf['feature'].str.split('=')]
# create a mask where feature is in columns of cdf
mask = tdf['feature'].isin(cdf.columns)
# use loc to filter your frame and use merge to join cdf on the id and feature column - after you use stack
tdf.loc[mask, 'feature'] = tdf.loc[mask, 'feature']+'='+tdf.loc[mask].merge(cdf.set_index('Id').stack().to_frame(),
right_index=True, left_on=['Id', 'feature'])[0].astype(str)
Id feature value
0 1 grade=D 0.20
1 1 dash=Q 0.45
2 1 dumma=1123 -0.32
3 1 dumeel=R 0.56
4 3 dash=P 1.30
5 3 dumma=849 1.50
6 3 grade=D 3.70
QUESTION
I have a dataframe like as shown below
...ANSWER
Answered 2022-Feb-05 at 16:25Select your columns to flatten with melt then join the target column. Finally, group by variable and value columns and apply a dict of functions to each group.
QUESTION
I'm sure this is a duplicate but I cannot find the original question, so please link to it if you know of it.
In Javascript I am currently writing a function and I am tempted to write it like this:
...ANSWER
Answered 2022-Feb-04 at 03:42Its all good. You do not have to do anything with the result of an expression.
It is really no different than calling a function that returns a value, and not assigning or using the value.
In the case of the primative values, they would most likely just get optimized out if you were optimizing your code.
With that said, you may have a linter that is configured to actually emit a warning or an error for an unassigned expression, so your valid syntax would be shown as an issue in that case.
QUESTION
I have a dataframe like as shown below
...ANSWER
Answered 2022-Jan-26 at 18:56I've got a working example for you. After trying to use the aggregate method, I've realised that it's the easiest to just do it this way:
QUESTION
I have a dataframe like as shown below
...ANSWER
Answered 2022-Jan-24 at 14:52Here is one approach:
- Select the catgorical columns (
cols) Meltthe dataframe withtargetas id variable andcolsas value variables- Group the dataframe and use
value_countsto calculate frequency Unstackto reshape the dataframe
QUESTION
I have a webpage with a table of dimensions width: 8cm and height: 15.4cm. The table consists of seven rows, each with the same height. Some rows will be filled with short text, and some with longer text, lasting 2-3 sentences.
Since I don't know before-hand how long the text would be, I want to let the browser choose the right font size to fit the text nicely in the table cell.
My webpage final destination is to be printed on a physical paper and therefore is not going to be viewed on various devices, so responsive approach is not the issue here.
After the conversation in the comments, I understand that the approach for this should be a javascript and not css. Can anyone explain how to do that?
Here is my code:
...ANSWER
Answered 2022-Jan-11 at 12:12You can adjust the text size via Javascript until height matches your preferred height.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install QWER
You can use QWER 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
