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Python error - name lengths


Python error - name lengths

By : GonGon
Date : November 27 2020, 01:01 AM
I wish did fix the issue. Here's the requirement: , why don't you check for bounds first?
code :


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Re-sampling groups of variable lengths so that group lengths are equal (R, dplyr)

Re-sampling groups of variable lengths so that group lengths are equal (R, dplyr)


By : Bunchi
Date : March 29 2020, 07:55 AM
wish helps you If I understood the question correctly, RESULT is some kind of a complement data frame to DATA such as when combined together they would produce 4 rows for each group.
code :
NUMBER <- 4

set.seed(1234)

RESULT2 <- DATA %>%
  group_by(SITE) %>%
  mutate(n = n(),
         sampsize = as.numeric( ifelse(n>=NUMBER,0,NUMBER-n)) ) %>%
  do( sample_n(., size=.$sampsize[1], replace=TRUE ) ) %>%
  select( -n, -sampsize ) %>%
  ungroup()

RESULT2
Source: local data frame [3 x 4]

  SITE STUFF STUFF2 STUFF3
1    B   100    200    400
2    C  6000  12000  24000
3    C  6000  12000  24000
NUMBER <- 4

set.seed(1234)

RESULT3 <- DATA %>%
  group_by(SITE) %>%
  mutate(n = n(),
         sampsize = as.numeric( ifelse(n>=NUMBER,0,NUMBER-n)) ) %>%
  do( rbind(.,sample_n(., size=.$sampsize[1], replace=TRUE )) ) %>%
  select( -n, -sampsize ) %>%
  ungroup()

RESULT3
Source: local data frame [12 x 4]

   SITE STUFF STUFF2 STUFF3
1     A     1      2      4
2     A     2      4      8
3     A    30     60    120
4     A    40     80    160
5     B   100    200    400
6     B   200    400    800
7     B   300    600   1200
8     B   100    200    400
9     C  5000  10000  20000
10    C  6000  12000  24000
11    C  6000  12000  24000
12    C  6000  12000  24000
python pandas: vectorized function value error "lengths do not match"

python pandas: vectorized function value error "lengths do not match"


By : RebliNk17
Date : March 29 2020, 07:55 AM
Any of those help I believe you can use broadcasting:
code :
start_date_period = pd.period_range('2004-01-01', '12-31-2017', freq='30D')
end_date_period = pd.period_range('2004-01-30', '12-31-2017', freq='30D')

tra = df['transaction_dt'].values[:, None]
idx1 = np.argmax(tra < start_date_period.end_time.values, axis=1)
idx2 = np.argmin(tra > end_date_period.start_time.values, axis=1)

df['window_start_dt'] = start_date_period[idx1]
df['window_end_dt'] = end_date_period[idx2]
print (df)

   customer_id transaction_dt product  price  units window_start_dt  \
0            1     2004-01-02  thing1     25     47      2004-01-01   
1            1     2004-01-17  thing2    150      8      2004-01-01   
2            2     2004-01-29  thing2    150     25      2004-01-01   
3            3     2017-07-15  thing3     55     17      2017-06-21   
4            3     2016-05-12  thing3     55     47      2016-04-27   
5            4     2012-02-23  thing2    150     22      2012-02-18   
6            4     2009-10-10  thing1     25     12      2009-10-01   
7            4     2014-04-04  thing2    150      2      2014-03-09   
8            5     2008-07-09  thing2    150     43      2008-07-08   

  window_end_dt  
0    2004-01-30  
1    2004-01-30  
2    2004-01-30  
3    2017-07-20  
4    2016-05-26  
5    2012-03-18  
6    2009-10-30  
7    2014-04-07  
8    2008-08-06  
error - lengths differ when trying to integrate (but lengths are the same)

error - lengths differ when trying to integrate (but lengths are the same)


By : Anwarsha Jamhar
Date : March 29 2020, 07:55 AM
this one helps. I believe this is a bug in the MESS package with the absolutearea flag set to TRUE.
If you look at the code for auc:
code :
if (absolutearea)
    myfunction <- function(x) { abs(splinefun(x, y, method="natural")) }
else
    myfunction <- splinefun(x, y, method="natural")

res <- integrate(myfunction, lower=from, upper=to)$value
How can I handle the error "Error: all(lengths == 1L | lengths == n) is not TRUE"?

How can I handle the error "Error: all(lengths == 1L | lengths == n) is not TRUE"?


By : Shubham
Date : March 29 2020, 07:55 AM
wish helps you gs_add_rows only can add rows once the header is available in the google sheet so you need to create the first row or the header information with gs_edit_cells() before you use add_rows.
This is explained in the googlesheets vignette.
Java. Find the lengths of strings in an array list for which those string lengths occur the most

Java. Find the lengths of strings in an array list for which those string lengths occur the most


By : user3574503
Date : March 29 2020, 07:55 AM
Hope this helps For example, say I have the following array after splitting it. , You can make use of Java Stream Library's groupingBy collector
code :
String[] arr = new String[]{
        "Hello",
        "world",
        "what",
        "a",
        "fine",
        "day",
        "it",
        "is",
        "the",
        "date",
        "is",
        "01/10/2020"
};

List<Integer> maxRepeatingSizes =
    Arrays.stream(arr)
            .collect(Collectors.groupingBy(
                String::length,
                Collectors.counting()
            )).entrySet()
            .stream()
            .collect(
                    Collectors.groupingBy(
                            Map.Entry::getValue,
                            Collectors.mapping(
                                Map.Entry::getKey,
                                Collectors.toList()
                            )
                    )
            ).entrySet()
            .stream()
            .max(
                    Map.Entry.comparingByKey()
            ).get()
            .getValue();
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