All Questions
1,847
questions
1
vote
1
answer
24
views
Long to wide format based on variable suffixes in tidyverse in R
I wonder if there is a way for my DATA to be reformatted to my Desired_output below?
Specifically, for each unique study, we stick together a pair of pre and postNUMBER together, separately for T and ...
- 1,449
1
vote
2
answers
42
views
How to get column-wise summary statistics with missing codes?
I have written a custom function ord_table() to extract summary statistics from a series of databases. To get those summary statistics, I have to filter out missing data codes (all codes are large ...
1
vote
1
answer
25
views
Function not capturing change in values
I have the following dataframe:
state_territory_code week_nbr
CA WEEK 49
CA WEEK 49
FL WEEK 49
CA WEEK 50
TN ...
- 79
2
votes
2
answers
30
views
Wide format data by pasting two sets of variables into one in R
I've tried to wide-format my DATA into my Desired_output using:
pivot_wider(DATA, names_from = Year, values_from = c(Type, Language))
without success. Is there a way to achieve my Desired_output?
...
- 1,449
1
vote
1
answer
69
views
Get minimum through record iterations in pandas dataframe
I have created the following pandas dataframe:
import pandas as pd
import numpy as np
ds = { 'trend' : [1,1,1,1,2,2,3,3,3,3,3,3,4,4,4,4,4], 'price' : [23,43,56,21,43,55,54,32,9,12,11,12,23,3,2,1,1]}
...
- 1,426
0
votes
2
answers
54
views
Return the name of a column which matches a date value
I have a data.frame with about 66k rows and 150 columns. For the purposes of this question, this is a sample. All columns are date objects.
structure(list(fixed_date = structure(c(19267, 19239, 19120, ...
2
votes
4
answers
50
views
Tabulate a column in data.frame ignoring the order of elements in it in R
In my DATA below, I wonder how to table() the variable lang_comb ignoring the order?
For example, "english spanish french" and "french english spanish" are to be considered ...
- 1,449
1
vote
3
answers
46
views
Finding rows in a data.frame that are the same on one variable but different on another variable in R
In my DATA below, how could I filter the rows where the Nm values are the same but Descr values are different to achieve my Desired_out below?
DATA <- read.table(header=T, text ="
Cd Nm ...
- 1,449
2
votes
1
answer
64
views
I want to divide different index
On below dataframe, I want to divide "Inventory" value by "OUT" value with +1 index and output to DOH columns.
For example, my expected output DOH columns on index 1 are the "...
- 15
0
votes
1
answer
36
views
Using Value from Another Function in Pandas .Applymap()
Is it possible to color code DataFrame cell values based on its value compared to the value returned from another function.
Here is an example of the DataFrame coloring that I created using the ...
- 15
3
votes
3
answers
51
views
How to filter out numbers with n digits in a dataframe in R?
In my DATA below, I'm trying to subset()/dplyr::filter() the INs that are 5 digits long.
I'm using the following without success. Is there a better solution?
Tried: subset(DATA, nchar(sub('\\.[0-9]+', ...
- 1,449
1
vote
1
answer
25
views
How to merge two columns when long-formatting data frame in R
Below, I'm can use tidyr::pivot_longer(DATA, -InstNm, names_sep = "_", names_to = c("Indicator", ".value")) to get very close to my Desired_output.
But I wonder how I can ...
- 1,449
0
votes
1
answer
26
views
Long-formatting several sets of similarly named of variables in an R data.frame
I have several sets of columns whose names are related. For example, in the toy DATA below, one set of variables start with OTE_ and another set of variables start with RAE_.
In my actual data, I have ...
- 1,449
0
votes
1
answer
32
views
Illegal start of simple expression when calling scala function
I have a function declared outside the main method to melt a wide data frame that i got from this post How to unpivot Spark DataFrame without hardcoding column names in Scala?
def melt(preserves: Seq[...
- 17
0
votes
0
answers
16
views
keeping key as a column after groupby [duplicate]
i want the groupby key to be a column, but instead it is returned as one space below the others.
def function(list, A, B, C)
A_dict = pd.DataFrame(list(zip(list, A)), columns = ['site', 'A'...
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