python - unique combinations of values in selected columns in pandas data frame and count -


i have data in pandas data frame follows:

df1 = pd.dataframe({'a':['yes','yes','yes','yes','no','no','yes','yes','yes','no'],                    'b':['yes','no','no','no','yes','yes','no','yes','yes','no']})

so, data looks this

---------------------------- index                b 0           yes      yes 1           yes       no 2           yes       no 3           yes       no 4            no      yes 5            no      yes 6           yes       no 7           yes      yes 8           yes      yes 9            no       no -----------------------------

i transform data frame. expected output can shown in following python script:

output = pd.dataframe({'a':['no','no','yes','yes'],'b':['no','yes','no','yes'],'count':[1,2,4,3]})

so, expected output looks this

-------------------------------------------- index            b       count -------------------------------------------- 0         no       no        1 1         no      yes        2 2        yes       no        4 3        yes      yes        3 --------------------------------------------

actually, can achieve find combinations , count them using following command: mytable = df1.groupby(['a','b']).size()

however, turns out such combinations in single column. separate each value in combination different column , add 1 more column result of counting. possible that? may have suggestions? thank in advance.

you can groupby on cols 'a' , 'b' , call size , reset_index , rename generated column:

in [26]:  df1.groupby(['a','b']).size().reset_index().rename(columns={0:'count'}) out[26]:         b  count 0   no   no      1 1   no  yes      2 2  yes   no      4 3  yes  yes      3

update

a little explanation, grouping on 2 columns, groups rows , b values same, call size returns number of unique groups:

in[202]: df1.groupby(['a','b']).size()  out[202]:     b   no   no     1      yes    2 yes  no     4      yes    3 dtype: int64

so restore grouped columns, call reset_index:

in[203]: df1.groupby(['a','b']).size().reset_index()  out[203]:          b  0 0   no   no  1 1   no  yes  2 2  yes   no  4 3  yes  yes  3

this restores indices size aggregation turned generated column 0, have rename this:

in[204]: df1.groupby(['a','b']).size().reset_index().rename(columns={0:'count'})  out[204]:          b  count 0   no   no      1 1   no  yes      2 2  yes   no      4 3  yes  yes      3

groupby accept arg as_index have set false doesn't make grouped columns index, generates series , you'd still have restore indices , on....:

in[205]: df1.groupby(['a','b'], as_index=false).size()  out[205]:     b   no   no     1      yes    2 yes  no     4      yes    3 dtype: int64

Comments

Post a Comment

Popular posts from this blog

javascript - jQuery: Add class depending on URL in the best way -

i have html progress meter: <div class="col-md-3" style="margin-left: -20px;"> <div class="progress-pos active" id="progess-1"> <div class="progress-pos-inner"> login </div> </div> </div> <div class="col-md-3 progress-pos-container"> <div class="progress-pos" id="progess-2"> <div class="progress-pos-inner"> scan items </div> </div> </div> <div class="col-md-3 progress-pos-container"> <div class="progress-pos" id="progess-3"> <div class="progress-pos-inner"> confirm address </div> </div> </div> <div class="col-md-3 progress-pos-container"> <div class="progress-pos" id="progess-4"> <div class="progress-pos-in...
Read more

caching - How to check if a url path exists in the service worker cache -

i need check if particular url path exists in service worker cache. example, suppose url is: /myserviceworker/service?a=110&b=70 this url exists in cache, there many of them different values of , b. now, suppose want refresh of these urls, how can that? i want know how access key values service worker cache. if know key, plan follows: var url = new url(key); if(url.pathname === "\/myserviceworker/service") refetch key but not sure how cache key , in format is. mean, string or url? cache api has match() method returns promise resolving in response object if match or undefined if no match exists. second parameter object can specify ignoresearch not take account url parameters. the ignoresearch option supported firefox ( chrome status here ). in other hand, retrieve cache entries, can use keys() method.
Read more

Redirect to a HTTPS version using .htaccess -

i need modify .htaccess file redirect urls https version without "www". http://example.com --> https://example.com http://www.example.com --> https://example.com https://www.example.com --> https://example.com this how .htaccess file looks like: rewriteengine on rewritecond %{request_filename} !-d rewritecond %{request_filename} !-f rewriterule ^(.*)$ redirect.php?id=$1&page=$2 [qsa,l] what modifications need make .htaccess in order forward https without "www"? it depends on doing current code. looks file called redirect trying display php page seo friendly url. think might confusing people. anyway, need , force https without www, need 1 more rule above. also second rule needs two capture groups in rewriterule test string because wanting 2 different values using $1 , $2 references. rewriteengine on #rediect www non www and/or http https --- combinations. rewritecond %{http_host} !^example\.com [nc,or] rewritecond %{https} !^...
Read more