python - Reshaping a pandas dataframe by repeating rows -


i new python pandas. have 1 dataframe 

----------------------------------------------------- id     name    salary    desc1     desc2     desc3 ----------------------------------------------------- 1      abc1    2000       x1        y1        z1 ----------------------------------------------------- 2      abc2    5000       x2        y1        z2 -----------------------------------------------------

i want transform way

----------------------------------------- id     name     salary      variable ----------------------------------------- 1      abc1      2000          x1 ----------------------------------------- 1      abc1      2000          y1 ----------------------------------------- 1      abc1      2000          z1   ----------------------------------------- 2      abc2      5000          x2   ----------------------------------------- 2      abc2      5000          y2   ----------------------------------------- 2      abc2      5000          z2  -----------------------------------------

please help. in advance.

you need set_index + stack:

df = df.set_index(['id','name','salary'])        .stack()        .reset_index(level=3, drop=true)        .reset_index(name='variable')  print (df)    id  name  salary variable 0   1  abc1    2000       x1 1   1  abc1    2000       y1 2   1  abc1    2000       z1 3   2  abc2    5000       x2 4   2  abc2    5000       y1 5   2  abc2    5000       z2

if sorting first 3 columns not necessary:

use melt:

df = df.melt(['id','name','salary'], value_name='variable').drop('variable', axis=1) print (df)    id  name  salary variable 0   1  abc1    2000       x1 1   2  abc2    5000       x2 2   1  abc1    2000       y1 3   2  abc2    5000       y1 4   1  abc1    2000       z1 5   2  abc2    5000       z2

lreshape undocumented, possible in future removed (github link). 

df = pd.lreshape(df, {'variable':['desc1','desc2','desc3']}) print (df)    id  name  salary variable 0   1  abc1    2000       x1 1   2  abc2    5000       x2 2   1  abc1    2000       y1 3   2  abc2    5000       y1 4   1  abc1    2000       z1 5   2  abc2    5000       z2

Comments

Post a Comment

Popular posts from this blog

Sort a complex associative array in PHP -

this question has answer here: php sort array subarray value 5 answers i have associative array in php like: $newarray1 = array ( [producta] => array ( [link] => http://sanjosespartan.com/blog/products/agile-java-development/ [visitcount] => 4 ) [productd] => array ( [link] => http://sanjosespartan.com/blog/products/intro-to-go/ [visitcount] => 1 ) [productg] => array ( [link] => http://sanjosespartan.com/blog/products/node-js-for-developers/ [visitcount] => 1 ) [productb] => array ( [link] => http://sanjosespartan.com/blog/products/beginning-mysql/ [visitcount] => 1 ) [productc] => array ( [link] => http://sanjosespartan.com/blog/products/computer-networks/ [visitcount] => 1 ) ...
Read more

vb.net - How to ignore if a cell is empty nothing -

how use roscolor() ignore value (like empty cell) ? color row if value upper 5 when there nothing in cell, want ignore roscolor() apply, how? public sub roscolor() integer = 0 quotedatagridview1.rows.count() - 1 step +1 dim val integer val = quotedatagridview1.rows(i).cells(3).value if val = vbempty quotedatagridview1.rows(i).defaultcellstyle.backcolor = color.white elseif val < 5 quotedatagridview1.rows(i).defaultcellstyle.backcolor = color.red elseif val > 5 , val < 10 quotedatagridview1.rows(i).defaultcellstyle.backcolor = color.lightyellow end if next end sub you can check empty value following public sub roscolor() integer = 0 quotedatagridview1.rows.count() - 1 step +1 dim val = quotedatagridview1.rows(i).cells(3).value if isdbnull(val) or val nothing quotedatagridview1.rows(i).defaultcellstyle.backcolor = color.white ...
Read more

recursion - Can every recursive algorithm be improved with dynamic programming? -

i first year undergraduate csc student looking competitive programming. recursion involves defining , solving sub problems. understand, top down dynamic programming (dp) involves memoizing solutions sub problems reduce time complexity of algorithm. can top down dp used improve efficiency of every recursive algorithm overlapping sub problems? dp fail work , how can identify this? the short answer is: yes. however, there constraints. obvious 1 recursive calls must overlap. i.e. during execution of algorithm, recursive function must called multiple times same parameters. lets truncate recursion tree memoization. can use memoization reduce number of calls. however, reduction of calls comes price. need store results somewhere. next obvious constraint need have enough memory. comes not-so obvious constraint. memory access requires time. first need find result stored , maybe copy location. in cases, might faster let recursion calculate result instead of loading somewher...
Read more