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Vara | javascript library that can create text drawing animations | Canvas library

 by   akzhy JavaScript Version: Current License: MIT

 by   akzhy JavaScript Version: Current License: MIT

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kandi X-RAY | Vara Summary

Vara is a JavaScript library typically used in User Interface, Canvas applications. Vara has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Vara is a javascript library that can create text drawing animations.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Vara has a low active ecosystem.
  • It has 124 star(s) with 21 fork(s). There are 5 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 7 have been closed. On average issues are closed in 26 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Vara is current.
Vara Support
Best in #Canvas
Average in #Canvas
Vara Support
Best in #Canvas
Average in #Canvas

quality kandi Quality

  • Vara has 0 bugs and 0 code smells.
Vara Quality
Best in #Canvas
Average in #Canvas
Vara Quality
Best in #Canvas
Average in #Canvas

securitySecurity

  • Vara has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • Vara code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
Vara Security
Best in #Canvas
Average in #Canvas
Vara Security
Best in #Canvas
Average in #Canvas

license License

  • Vara is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
Vara License
Best in #Canvas
Average in #Canvas
Vara License
Best in #Canvas
Average in #Canvas

buildReuse

  • Vara releases are not available. You will need to build from source code and install.
  • Installation instructions, examples and code snippets are available.
  • Vara saves you 124 person hours of effort in developing the same functionality from scratch.
  • It has 313 lines of code, 0 functions and 4 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
Vara Reuse
Best in #Canvas
Average in #Canvas
Vara Reuse
Best in #Canvas
Average in #Canvas
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Vara Key Features

Vara is a javascript library that can create text drawing animations

Installation and Basic usage

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npm install vara --save

Options

copy iconCopydownload iconDownload
new Vara("#container","font.json",[
{
	text:"Hello World", // String, text to be shown
	fontSize:24, // Number, size of the text
	strokeWidth:.5, // Width / Thickness of the stroke
	color:"black", // Color of the text
	id:"", // String or integer, for if animations are called manually or when using the get() method. Default is the index of the object.
	duration:2000, // Number, Duration of the animation in milliseconds
	textAlign:"left", // String, text align, accepted values are left,center,right
	x:0, // Number, x coordinate of the text
	y:0, // Number, y coordinate of the text
	fromCurrentPosition:{ // Whether the x or y coordinate should be from its calculated position, ie the position if x or y coordinates were not applied
		x:true, // Boolean
		y:true, // Boolean
	},
	autoAnimation:true, // Boolean, Whether to animate the text automatically
	queued:true, // Boolean, Whether the animation should be in a queue
    delay:0,     // Delay before the animation starts in milliseconds
    /* Letter spacing can be a number or an object, if number, the spacing will be applied to every character.
    If object, each letter can be assigned a different spacing as follows,
    letterSpacing: {
        a: 4,
        j: -6,
        global: -1
    }
    The global property is used to set spacing of all other characters
    */
	letterSpacing:0
}],{
	// The options given below will be applicable to every text created,
	// however they will not override the options set above.
	// They will work as secondary options.
	fontSize:24, // Number, size of the text
	strokeWidth:.5, // Width / Thickness of the stroke
	color:"black", // Color of the text
	duration:2000, // Number, Duration of the animation in milliseconds
	textAlign:"left", // String, text align, accepted values are left,center,right
	autoAnimation:true, // Boolean, Whether to animate the text automatically
	queued:true, // Boolean, Whether the animation should be in a queue
	letterSpacing:0
})

New dataframe with last 6 rows per group in R

copy iconCopydownload iconDownload
library(dplyr)
test1 %>% group_by(groupa) %>% slice_tail(n = 6) %>%  ungroup

# A tibble: 21 x 3
#   timea groupa  vara
#   <dbl>  <dbl> <dbl>
# 1     9      1     9
# 2    10      1     1
# 3    11      1     3
# 4    12      1     4
# 5    13      1     8
# 6    14      1     9
# 7    25      2     8
# 8    26      2     3
# 9    27      2     5
#10    28      2     8
# … with 11 more rows
-----------------------
library(data.table)
setDT(test1)[test1[, .I[tail(seq_len(.N), 6)], groupa]$V1] 

R - What's the simple way to combine two data table element-wise?

copy iconCopydownload iconDownload
C <- A
C[-1] <- sprintf('%d (%.2f)', as.matrix(A[-1]), as.matrix(B[-1]))
C

#  Group        varA        varB
#1     I 17 (100.00)    1 (5.88)
#2    II    0 (0.00) 20 (100.00)
-----------------------
library(dplyr)
library(stringr)
C <- A %>%
      mutate(across(where(is.numeric), ~
        str_c(., "(", round(B[[cur_column()]], 2), ")")))
C <- A %>% 
    mutate(across(where(is.numeric), 
        ~sprintf("%d (%.2f)", ., B[[cur_column()]])))
A <- structure(list(Group = c("I", "II"), varA = c(17L, 0L), varB = c(1L, 
20L)), class = "data.frame", row.names = c(NA, -2L))

B <- structure(list(Group = c("I", "II"), varA = c(100, 0), varB = c(5.88, 
100)), class = "data.frame", row.names = c(NA, -2L))

-----------------------
library(dplyr)
library(stringr)
C <- A %>%
      mutate(across(where(is.numeric), ~
        str_c(., "(", round(B[[cur_column()]], 2), ")")))
C <- A %>% 
    mutate(across(where(is.numeric), 
        ~sprintf("%d (%.2f)", ., B[[cur_column()]])))
A <- structure(list(Group = c("I", "II"), varA = c(17L, 0L), varB = c(1L, 
20L)), class = "data.frame", row.names = c(NA, -2L))

B <- structure(list(Group = c("I", "II"), varA = c(100, 0), varB = c(5.88, 
100)), class = "data.frame", row.names = c(NA, -2L))

-----------------------
library(dplyr)
library(stringr)
C <- A %>%
      mutate(across(where(is.numeric), ~
        str_c(., "(", round(B[[cur_column()]], 2), ")")))
C <- A %>% 
    mutate(across(where(is.numeric), 
        ~sprintf("%d (%.2f)", ., B[[cur_column()]])))
A <- structure(list(Group = c("I", "II"), varA = c(17L, 0L), varB = c(1L, 
20L)), class = "data.frame", row.names = c(NA, -2L))

B <- structure(list(Group = c("I", "II"), varA = c(100, 0), varB = c(5.88, 
100)), class = "data.frame", row.names = c(NA, -2L))

-----------------------
> list2DF(c(A[1], Map(function(x, y) sprintf("%d (%.2f)", x, y), A[-1], B[-1])))
  Group        varA        varB
1     I 17 (100.00)    1 (5.88)
2    II    0 (0.00) 20 (100.00)
-----------------------
library(dplyr)
library(purrr)
library(glue)
library(stringr)

df1 %>%
  left_join(df2 %>%
              map_if(~ is.numeric(.x), ~ glue("({.x})")) %>%
              bind_cols(), by = "Group") %>%
  mutate(across(ends_with(".x"), ~ str_c(.x, get(str_replace(cur_column(), 
                                                             "\\.x", "\\.y")), sep = " "))) %>%
  select(- ends_with(".y"))

  Group   varA.x   varB.x
1     I 17 (100) 1 (5.88)
2    II    0 (0) 20 (100)

MySql encoding hell

copy iconCopydownload iconDownload
// Create and fill a list of maps called recs
// Note: BaseMap is just my own class that extends Map, it has extensions like getString, getInt, etc
// I'm using column called "txt" to store some UTF8 test data

Path path = Paths.get("/my/file/name/here"); // <<< change this
try (BufferedWriter writer = Files.newBufferedWriter(path, StandardCharsets.UTF_8)) {

    for(int i=0; i<recs.size(); i++)
    {
        BaseMap rec = new BaseMap((Map)recs.get(i));
        try {
            byte[] doubleEncodedBytes = rec.getString("txt").getBytes("ISO-8859-1");
            String decodedTxt = new String(doubleEncodedBytes, "UTF-8");
            writer.append(decodedTxt);
            writer.newLine();
            // If you don't want to write to a file, 
            // you could instead execute on a connection to Database 2: INSERT INTO `schemaname`.`tablename` (columns...) VALUES (" decodedTxt ",....)
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
    }
    writer.flush();
} catch (IOException e) {
    e.printStackTrace();
}
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+
-----------------------
SELECT UNHEX('646f6ee2809974207274f09f989b');
don’t rt😛
SELECT CONVERT(BINARY(CONVERT('d’Europe' USING latin1)) USING utf8mb4);
yields   d’Europe   mojibake to ut8 (or utf8mb4),
SELECT LENGTH(col), CHAR_LENGTH(col), col, HEX(col) FROM ...
SELECT LENGTH('d’Europe'), CHAR_LENGTH('d’Europe'), 'd’Europe', HEX('d’Europe');
+----------------------+---------------------------+------------+----------------------+
| LENGTH('d’Europe')   | CHAR_LENGTH('d’Europe')   | d’Europe   | HEX('d’Europe')      |
+----------------------+---------------------------+------------+----------------------+
|                   10 |                         8 | d’Europe   | 64E280994575726F7065 |
+----------------------+---------------------------+------------+----------------------+
64C3A2E282ACE284A24575726F7065
SELECT CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4);
+---------------------------------------------------------------------------------------------------------------------+
| CONVERT(BINARY(CONVERT(CONVERT(UNHEX('64C3A2E282ACE284A24575726F7065') USING utf8mb4) USING latin1)) USING utf8mb4) |
+---------------------------------------------------------------------------------------------------------------------+
| d’Europe                                                                                                            |
+---------------------------------------------------------------------------------------------------------------------+
Char   UTF-8              If interpreted as latin1
’      E28099             ’
’    C3A2 C280   C299      You have this
’    C3A2 E282AC E284A2    Correct encoding
mysql> SELECT CAST(UNHEX('C3A2E282ACE284A2') AS char), CAST(UNHEX('C3A2C280C299') AS char);
+-----------------------------------------+-------------------------------------+
| CAST(UNHEX('C3A2E282ACE284A2') AS char) | CAST(UNHEX('C3A2C280C299') AS char) |
+-----------------------------------------+-------------------------------------+
| ’                                     | â                                 |
+-----------------------------------------+-------------------------------------+

How to work with variables in KIVY and Python across widgets and screens

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<PopupMenu@Popup>:
    size_hint: (.25,.25)
    title: "MENU"
    Button:
        text: "RESET"
        on_release:
            print("Now What?", app.root.ids.S1.varB)            # HOW DO I BRING VARIABLES INTO THIS?

show gap for missing date in geom area

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todateseq<-fake.data %>%
select(start_date) %>% 
pull

first <- min(todateseq)
last <- max(todateseq)

date_seq <- seq.Date(first,last,by='day')
fake.data2 <- data.frame(start_date=date_seq) %>%
left_join(fake.data,by='start_date')

fake.data2 %>% 
gather(variable, value,varA:varC) %>%
mutate(value=ifelse(is.na(value),0,value)) %>% 
ggplot(aes(x = start_date, y = value, fill = variable)) +
geom_area(na.rm = F,position = position_stack())
-----------------------
library(tidyverse)
fake.data <- data.frame(
  varA = c(0.6,0.5,0.2,0.3,0.7), 
  varB = c(0.1,0.2,0.4,0.6,0.2),
  varC = c(0.3,0.3,0.4,0.1,0.1),
  start_date = as.Date(c('2021-01-01','2021-01-02','2021-01-04','2021-01-06','2021-01-08'))
) %>% pivot_longer(cols = matches("^var"), names_to = "variable", values_to = "value" )

ls_data <- setNames(fake.data %>%
  complete(start_date = full_seq(start_date, 1)) %>% 
  split(., is.na(.$variable)), c("vals", "missing")) 

ggplot(ls_data$vals, aes(x = start_date, y = value, fill = variable)) +
  geom_area() +
  geom_rect(data = ls_data$missing, aes(xmin = start_date-.5, xmax = start_date+.5,
                                    ymin = 0, ymax = Inf), fill = "white") +
  theme_classic()
fake.data %>% 
  ggplot(aes(x = start_date, y = value, fill = variable)) +
  geom_area() +
  geom_point(position = "stack") +
  geom_line(position = "stack")
-----------------------
library(tidyverse)
fake.data <- data.frame(
  varA = c(0.6,0.5,0.2,0.3,0.7), 
  varB = c(0.1,0.2,0.4,0.6,0.2),
  varC = c(0.3,0.3,0.4,0.1,0.1),
  start_date = as.Date(c('2021-01-01','2021-01-02','2021-01-04','2021-01-06','2021-01-08'))
) %>% pivot_longer(cols = matches("^var"), names_to = "variable", values_to = "value" )

ls_data <- setNames(fake.data %>%
  complete(start_date = full_seq(start_date, 1)) %>% 
  split(., is.na(.$variable)), c("vals", "missing")) 

ggplot(ls_data$vals, aes(x = start_date, y = value, fill = variable)) +
  geom_area() +
  geom_rect(data = ls_data$missing, aes(xmin = start_date-.5, xmax = start_date+.5,
                                    ymin = 0, ymax = Inf), fill = "white") +
  theme_classic()
fake.data %>% 
  ggplot(aes(x = start_date, y = value, fill = variable)) +
  geom_area() +
  geom_point(position = "stack") +
  geom_line(position = "stack")

Call multiple attributes from one class into another - Python

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class A:
    def __init__(self, *args, **kwargs):
        for k, v in kwargs.items():
            setattr(self, k, v)


class B(A):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)


data = {'varA': 'a', 'varB': 'b', 'varC': 'c'}
a = A(**data)
b = B(**data)

print(a.varB == b.varB)
True
-----------------------
class A:
    def __init__(self, *args, **kwargs):
        for k, v in kwargs.items():
            setattr(self, k, v)


class B(A):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)


data = {'varA': 'a', 'varB': 'b', 'varC': 'c'}
a = A(**data)
b = B(**data)

print(a.varB == b.varB)
True

Python Pandas apply function not being applied to every row when using variables from a DataFrame

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def formula(x):
    return (x / readVarA[0]) * readVarB[0]

How to mutate multiple columns as function of multiple columns systematically?

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varAcols <- sort(grep('varA', names(df), value = TRUE))
varBcols <- sort(grep('varB', names(df), value = TRUE))
df[sub('A', 'C', varAcols)] <- df[varAcols]/df[varBcols]

#    id    varA.t1 varA.t2 varB.t1 varB.t2 varC.t1 varC.t2
#  <chr>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
#1 row_1       5      10       2       4     2.5    2.5 
#2 row_2      20      50       4       6     5      8.33
-----------------------
library(dplyr)
library(purrr)
library(stringr)

df = tribble(
  ~id, ~varA.t1, ~varA.t2, ~varB.t1, ~varB.t2,
  'row_1', 5, 10, 2, 4,
  'row_2', 20, 50, 4, 6
)

# A function take in a formula then parse it and correct the column name
operation_function <- function(df, formula) {
  # Extract the column name from the formula
  new_column_name <- str_extract(formula, "^.+=")
  new_column_name <- trimws(gsub("=", "", new_column_name))
  
  # Process the df
  df %>%
    # parse the formula - this reuslt in new column name  as value formula
    mutate(!!rlang::parse_expr(formula)) %>%
    # rename the new created column with the correct column name
    rename(!!new_column_name := last_col())
}
# Prepare the formula
base_formula <- c("varC.t# = varA.t# / varB.t#")
replacement_list <- c(1, 2)
list_formula <- map(replacement_list, .f = gsub,
  pattern = "#", x = base_formula)
list_formula
#> [[1]]
#> [1] "varC.t1 = varA.t1 / varB.t1"
#> 
#> [[2]]
#> [1] "varC.t2 = varA.t2 / varB.t2"
# process with the function and then reduce them with left_join
reduce(map(.x = list_formula, .f = operation_function, df = df),
  left_join)
#> Joining, by = c("id", "varA.t1", "varA.t2", "varB.t1", "varB.t2")
#> # A tibble: 2 x 7
#>   id    varA.t1 varA.t2 varB.t1 varB.t2 varC.t1 varC.t2
#>   <chr>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
#> 1 row_1       5      10       2       4     2.5    2.5 
#> 2 row_2      20      50       4       6     5      8.33
-----------------------
library(dplyr)
library(purrr)
library(stringr)

df = tribble(
  ~id, ~varA.t1, ~varA.t2, ~varB.t1, ~varB.t2,
  'row_1', 5, 10, 2, 4,
  'row_2', 20, 50, 4, 6
)

# A function take in a formula then parse it and correct the column name
operation_function <- function(df, formula) {
  # Extract the column name from the formula
  new_column_name <- str_extract(formula, "^.+=")
  new_column_name <- trimws(gsub("=", "", new_column_name))
  
  # Process the df
  df %>%
    # parse the formula - this reuslt in new column name  as value formula
    mutate(!!rlang::parse_expr(formula)) %>%
    # rename the new created column with the correct column name
    rename(!!new_column_name := last_col())
}
# Prepare the formula
base_formula <- c("varC.t# = varA.t# / varB.t#")
replacement_list <- c(1, 2)
list_formula <- map(replacement_list, .f = gsub,
  pattern = "#", x = base_formula)
list_formula
#> [[1]]
#> [1] "varC.t1 = varA.t1 / varB.t1"
#> 
#> [[2]]
#> [1] "varC.t2 = varA.t2 / varB.t2"
# process with the function and then reduce them with left_join
reduce(map(.x = list_formula, .f = operation_function, df = df),
  left_join)
#> Joining, by = c("id", "varA.t1", "varA.t2", "varB.t1", "varB.t2")
#> # A tibble: 2 x 7
#>   id    varA.t1 varA.t2 varB.t1 varB.t2 varC.t1 varC.t2
#>   <chr>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
#> 1 row_1       5      10       2       4     2.5    2.5 
#> 2 row_2      20      50       4       6     5      8.33
-----------------------
library(dplyr)
library(purrr)
library(stringr)

df = tribble(
  ~id, ~varA.t1, ~varA.t2, ~varB.t1, ~varB.t2,
  'row_1', 5, 10, 2, 4,
  'row_2', 20, 50, 4, 6
)

# A function take in a formula then parse it and correct the column name
operation_function <- function(df, formula) {
  # Extract the column name from the formula
  new_column_name <- str_extract(formula, "^.+=")
  new_column_name <- trimws(gsub("=", "", new_column_name))
  
  # Process the df
  df %>%
    # parse the formula - this reuslt in new column name  as value formula
    mutate(!!rlang::parse_expr(formula)) %>%
    # rename the new created column with the correct column name
    rename(!!new_column_name := last_col())
}
# Prepare the formula
base_formula <- c("varC.t# = varA.t# / varB.t#")
replacement_list <- c(1, 2)
list_formula <- map(replacement_list, .f = gsub,
  pattern = "#", x = base_formula)
list_formula
#> [[1]]
#> [1] "varC.t1 = varA.t1 / varB.t1"
#> 
#> [[2]]
#> [1] "varC.t2 = varA.t2 / varB.t2"
# process with the function and then reduce them with left_join
reduce(map(.x = list_formula, .f = operation_function, df = df),
  left_join)
#> Joining, by = c("id", "varA.t1", "varA.t2", "varB.t1", "varB.t2")
#> # A tibble: 2 x 7
#>   id    varA.t1 varA.t2 varB.t1 varB.t2 varC.t1 varC.t2
#>   <chr>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
#> 1 row_1       5      10       2       4     2.5    2.5 
#> 2 row_2      20      50       4       6     5      8.33
-----------------------
df %>% 
  mutate(across(.cols = c(varA.t1, varA.t2),
                .fns = ~ .x / get(glue::glue(str_replace(cur_column(), "varA", "varB"))),
                .names = "V_{.col}")) %>%
  rename_with(~str_replace(., "V_varA", "varC"), starts_with("V_"))

# A tibble: 2 x 7
  id    varA.t1 varA.t2 varB.t1 varB.t2 varC.t1 varC.t2
  <chr>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
1 row_1       5      10       2       4     2.5    2.5 
2 row_2      20      50       4       6     5      8.33
-----------------------
library(dplyr)
library(dplyover) # https://github.com/TimTeaFan/dplyover

df = tribble(
  ~id, ~varA.t1, ~varA.t2, ~varB.t1, ~varB.t2,
  'row_1', 5, 10, 2, 4,
  'row_2', 20, 50, 4, 6
)

df %>% 
  mutate(across2(starts_with("varA"),
                 starts_with("varB"),
                 ~ .x / .y,
                 .names = "{pre}C.{suf}"))

#> # A tibble: 2 x 7
#>   id    varA.t1 varA.t2 varB.t1 varB.t2 varC.t1 varC.t2
#>   <chr>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
#> 1 row_1       5      10       2       4     2.5    2.5 
#> 2 row_2      20      50       4       6     5      8.33

Typescript: typing a function with an array of functions that returns an array of each function return type

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// any function
type Fn = () => unknown;

// a tuple/array of functions
type FnArr = readonly Fn[];

// the first function in your tuple of functions
type Head<T extends FnArr> = T extends [infer HeadFn, ...any[]] ? HeadFn : never;

// the rest of the functions in your tuple of functions
type Tail<T extends FnArr> = T extends [any, ...infer TailFns] ? TailFns : never;
const [varA, varB, varC] = arrayElementTypes( () => "", () => ({prop: "prop"}), () => [1,2,3] )
// how can this be typed appropriately so that the : 
// varA: string
// varB: {prop: string}
// varC: number[]

type ExampleFns = [ () => string, () => {prop: "prop"}, () => number[] ];

type TypeForVarA = ReturnType<Head<ExampleFns>>;                // F1 = string
type TypeForVarB = ReturnType<Head<Tail<ExampleFns>>>;          // F2 = {prop: "prop"}
type TypeForVarC = ReturnType<Head<Tail<Tail<ExampleFns>>>>;    // F3 = number[]
-----------------------
// any function
type Fn = () => unknown;

// a tuple/array of functions
type FnArr = readonly Fn[];

// the first function in your tuple of functions
type Head<T extends FnArr> = T extends [infer HeadFn, ...any[]] ? HeadFn : never;

// the rest of the functions in your tuple of functions
type Tail<T extends FnArr> = T extends [any, ...infer TailFns] ? TailFns : never;
const [varA, varB, varC] = arrayElementTypes( () => "", () => ({prop: "prop"}), () => [1,2,3] )
// how can this be typed appropriately so that the : 
// varA: string
// varB: {prop: string}
// varC: number[]

type ExampleFns = [ () => string, () => {prop: "prop"}, () => number[] ];

type TypeForVarA = ReturnType<Head<ExampleFns>>;                // F1 = string
type TypeForVarB = ReturnType<Head<Tail<ExampleFns>>>;          // F2 = {prop: "prop"}
type TypeForVarC = ReturnType<Head<Tail<Tail<ExampleFns>>>>;    // F3 = number[]
-----------------------
type ReturnTypes<T extends Array<(...a: any[]) => any>> = {
  [P in keyof T]: T[P] extends (...a: any[]) => infer R ? R : never
}

type CustomArrayElement = (() => string) | (() => number) | (() => {prop: string}) | (() => number[])

function arrayElementTypes<T extends CustomArrayElement[]>(...array: T): ReturnTypes<typeof array> {
   return array.map(arg => arg())
}

const [varA, varB, varC] = arrayElementTypes( () => "", () => ({prop: "prop"}), () => [1,2,3] )

-----------------------
const [varA, varB, varC, varD]: Array<string | number | {prop: string} | number[]> = arrayElementTypes( () => "", () => ({prop: "prop"}), () => [1,2,3] )

How to delete the commas at the previous line before specific string by PYTHON

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data = """ 
some code
some more code
define{
   varA,
   varB,
   varC
}
some code
define{
   varD,
   varE
}
end of code
"""

import re

define_re = re.compile(r'(define{.*?)(,\s+\w+)(\s+})', re.DOTALL)
out = define_re.sub(r'\1\3', data)

print(out)
some code
some more code
define{
   varA,
   varB
}
some code
define{
   varD
}
end of code
-----------------------
data = """ 
some code
some more code
define{
   varA,
   varB,
   varC
}
some code
define{
   varD,
   varE
}
end of code
"""

import re

define_re = re.compile(r'(define{.*?)(,\s+\w+)(\s+})', re.DOTALL)
out = define_re.sub(r'\1\3', data)

print(out)
some code
some more code
define{
   varA,
   varB
}
some code
define{
   varD
}
end of code

Community Discussions

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QUESTION

New dataframe with last 6 rows per group in R

Asked 2021-Jun-15 at 18:36

I have a dataframe with several groups and a different number of observations per group. I would like to create a new dataframe with no more than n observations per group. Specifically, for the groups that have a largen number I would like to select the n last observations. An example data set:

timea <- c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,21,22,23,24,25,26,27,28,29,30,5,6,7,8,9,10,25,26,27)
groupa <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,4,4,4)
vara <-c(7,7,8,10,9,2.5,7,8,9,1,3,4,8,9,10,2.5,3,9,8,3,5,8,1,7,9,10,2,6,4,3.5,9,8,6)

test1 <- data.frame(timea,groupa,vara)

I would like a new dataframe with no more than 6 observations per group (groupa), by selecting the last 6 per group. I was trying to find a dplyr solution, maybe using the lag function but I am not sure how to account for the ones that have less than 6 observations.

The expected output would be:

timea <- c(9,10,11,12,13,14,25,26,27,28,29,30,5,6,7,8,9,10, 25, 26,27)
groupa <- c(1,1,1,1,1,1,2,2,2,2,2,2,3,3,3,3,3,3,4,4,4)
vara <-c(9,1,3,4,8,9,8,3,5,8,1,7,9,10,2,6,4,3.5,9,8,6)


output <- data.frame(timea,groupa,vara)

Any ideas would be really appreciated.

ANSWER

Answered 2021-Jun-15 at 13:39

You can use slice_tail function in dplyr to get last n rows from each group. If the number of rows in a group is less than 6, it will return all the rows for that group.

library(dplyr)
test1 %>% group_by(groupa) %>% slice_tail(n = 6) %>%  ungroup

# A tibble: 21 x 3
#   timea groupa  vara
#   <dbl>  <dbl> <dbl>
# 1     9      1     9
# 2    10      1     1
# 3    11      1     3
# 4    12      1     4
# 5    13      1     8
# 6    14      1     9
# 7    25      2     8
# 8    26      2     3
# 9    27      2     5
#10    28      2     8
# … with 11 more rows

Source https://stackoverflow.com/questions/67987363

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