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How to Word-like-merge columns or rows of a data frame for displaying purposes in R?


How to Word-like-merge columns or rows of a data frame for displaying purposes in R?

By : user2952028
Date : November 18 2020, 03:49 PM
help you fix your problem I wrote a function (adfcs; augmented Dickey-Fuller that takes the usage of common sample into account during ADF test). With its result, I can prepare the table of ADF Statistics of the Raw Variables (Stationarity table) in MS Word like that: , [Solved by David Arenburg]
code :
> df <- data.frame(Variable = c("Var1","Var1","Var1","Var2","Var2","Var2"),Type = c("dt","d","-","dt","d","-"), stringsAsFactors = FALSE)
> df
  Variable Type
1     Var1   dt
2     Var1    d
3     Var1    -
4     Var2   dt
5     Var2    d
6     Var2    -
> df$Variable[df$Type != "d"] <- ""
> df
  Variable Type
1            dt
2     Var1    d
3             -
4            dt
5     Var2    d
6             -


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Identify most variable rows within multiple subsets of a data.frame and merge this information into a final data.frame

Identify most variable rows within multiple subsets of a data.frame and merge this information into a final data.frame


By : CGZ
Date : March 29 2020, 07:55 AM
This might help you Below I create a mock data set. For future reference, the burden is on you to do this since you know what you want better than I do.
code :
# create mock data
set.seed(1)
data<-replicate(1000,rnorm(500,500,100))
data<-data.frame(data,bins= sample(c(1:7),500,replace=TRUE)) # create bins column
data$var_by_row<-apply(data[,1:1000],1,var) # find variance of each row
data<-data[order(data$bins, -data$var_by_row),] # sort by bin and variance
data_sub_list<-by(data,INDICES = data$bins, head,n=25) # grab the first 25 observations of each bin
data_sub<-do.call('rbind',data_sub_list) # the above returns a list of 7 data frames...one per bin. this stacks them

> table(data_sub$bins) # each bin appears 25 times.

 1  2  3  4  5  6  7 
25 25 25 25 25 25 25 

> nrow(data_sub) # number of rows is 25*7
[1] 175
python pandas: merge two data frame but didn't merge the repeat rows

python pandas: merge two data frame but didn't merge the repeat rows


By : Stochastic
Date : March 29 2020, 07:55 AM
This might help you As indicated by your title, you can use merge instead of concat and specify how parameter as outer since you want to keep all records from df1 and df2 which defines an outer join:
code :
import pandas as pd
pd.merge(df1, df2, on = 'name', how = 'outer').fillna(0)

# exist name
# 0   1    a
# 1   1    b
# 2   1    c
# 3   1    d
# 4   1    e
# 5   0    f
# 6   0    g
# 7   0    h
Merge rows of one data frame into multiple columns of another based on an ID

Merge rows of one data frame into multiple columns of another based on an ID


By : user2365332
Date : March 29 2020, 07:55 AM
should help you out I have a data frame that has an ID number and corresponding data, some of the ID numbers are repeated in multiple rows, and I want to merge this data frame with another that has one ID number per row. So the result would be to add multiple columns to each row/ID to cover the duplicates. , I think you can first use spread and then you can do a right_join.
code :
library(tidyr)
library(dplyr)

result <- spread(df1, key = SPP, value = COUNT) %>%
  right_join(df2, by = "ID")
> result
     ID ABLA PICO POTR5 COUNTY STATUS
1 85470   NA   NA    NA     49      1
2 90051    5    4     1     57      1
3 90229    7    1    NA    107      1
4 91120    3   NA     5    107      2
5 89649   11   NA    NA    117      1
6 84364   NA   NA    NA     37      3
How can I merge data-frame rows by different columns

How can I merge data-frame rows by different columns


By : madhu
Date : March 29 2020, 07:55 AM
hope this fix your issue I'm not sure why you say Prefer not a sum method when your expected output data clearly indicate sum. For your sample data, in each row, exactly one of pic, story, des is zero, so:
code :
df.groupby(df[['pic','story', 'des']].sum(1)).sum()
   pic  story  des  some_another_value  some_value
1    1      1    1                 2.0         5.0
2    2      2    2                 4.0        10.0
3    3      3    3                 1.0        17.0
Compare two data.frames to find the rows in data.frame 1 and data.frame 2 which have equal values in selected columns

Compare two data.frames to find the rows in data.frame 1 and data.frame 2 which have equal values in selected columns


By : summer gom
Date : March 29 2020, 07:55 AM
I wish this helpful for you I have 2 data frames (a1 and a2) , Use merge to merge the data frames.
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