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Rearrange rows of Dataframe alternatively


Rearrange rows of Dataframe alternatively

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Rearrange rows of Dataframe alternatively
Tag : python , By : user183275
Date : November 28 2020, 04:01 AM

like below fixes the issue If the size of the subgroups is known, let's call it n, and your DataFrame is chunked with each group following the other, we just need some math:
n=5

df.index = df.index%n + (df.index//n)/(len(df)/n)
df = df.sort_index().reset_index(drop=True)

   col1           col2
0     1  random_string
1    1x  random_string
2    1y  random_string
3     2  random_string
4    2x  random_string
5    2y  random_string
6     3  random_string
7    3x  random_string
8    3y  random_string
9     4  random_string
10   4x  random_string
11   4y  random_string
12    5  random_string
13   5x  random_string
14   5y  random_string

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Tags :

Rearrange rows of Dataframe alternatively , Python: create a single dataframe by alternatively include rows from two others , How to rearrange rows of dataframe according to number array , Rearrange dataframe , every n rows to columns , left to right , top down , how to rearrange rows in excel ,

Python: create a single dataframe by alternatively include rows from two others

Tag : python , By : afarouk
Date : March 29 2020, 07:55 AM
I hope this helps . Suppose I have two pandas of the form: , Try this:
In [501]: pd.concat([df, df1.set_index(df1.index + '_s')]).sort_index()
Out[501]:
                  A          B          C
first     62.184209  39.414005  60.716563
first_s    0.828069   0.762570   0.717368
second    51.508214  94.354199  16.938342
second_s   0.136098   0.991668   0.547499
third     36.081861  39.440953  38.088336
third_s    0.120465   0.546807   0.346949

How to rearrange rows of dataframe according to number array

Tag : r , By : Ambarish Singh
Date : March 29 2020, 07:55 AM
hope this fix your issue I believe you are dealing with the "drop" issue. When R reads a matrix with only a single column, that 2nd dimension (columns) gets "dropped." This can be fixed by adding a simple "drop = FALSE" argument after the dimensions.
Object[Row,Column, drop = FALSE]

x <- matrix(c(1,2,2,1,1,2))
dimnames(x) <- list(c("TGTT", "TGTG", "TGCG", "TGGA", "TCCG", "TCAG"), "TCGA-05-4244-01A-01D-1105-08")
match <- c(1,3,2,6,5,4)
x[match,,drop = F]
     TCGA-05-4244-01A-01D-1105-08
TGTT                            1
TGCG                            2
TGTG                            2
TCAG                            2
TCCG                            1
TGGA                            1

how to rearrange rows in a dataframe based on time sequence

Tag : r , By : Pieter Taelman
Date : March 29 2020, 07:55 AM
To fix this issue I have a data frame dd as follows , Using sqldf library:
sqldf("select * from sample order by Time")

       Time         a b  c
1  10:39:00.064 IST A 8  1
2  10:39:00.165 IST D 3  1
3  10:39:00.265 IST A 9  1
4  10:39:00.366 IST C 9  2
5  10:39:00.466 IST D 5 25
6  10:39:00.566 IST W 8  1
7  10:39:00.665 IST W 6 42
8  10:39:00.765 IST I 5 45
9  10:39:00.866 IST P 4  2
10 10:39:00.967 IST T 9  4
11 10:39:01.067 IST R 7  8
12 10:39:01.168 IST Q 5 68
13 10:39:01.269 IST S 6 59
14 10:39:01.369 IST A 8 35
15 10:39:01.468 IST J 5  7
16 10:39:01.570 IST D 8 66
17 10:39:01.671 IST F 7  5
18 10:39:01.771 IST K 7  5

How to rearrange/reorder the rows and columns in python dataframe?

Tag : python , By : Stephen
Date : December 28 2020, 06:11 AM
I wish this help you SCREEN SHOT OF ACTUAL DATA FRAMEDataframe of 5000 rows and 192 columns , IIUC, can use a loop
pd.DataFrame([df.iloc[:, e:e+3].values.flatten() for e in range(0, 192, 3)])

Rearrange dataframe, every n rows to columns, left to right, top down

Tag : python , By : esimran
Date : March 29 2020, 07:55 AM
it should still fix some issue A list of strings. , Just change the reshape parameter and pass order parameter
df_1 = pd.DataFrame(np.reshape(df.values,(3,5),order='F'))
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