Count occurences in pandas column database and bar plot with matplotlib









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So I have a pandas database with 4 columns.



Date A B C.



The dates contain all daily dates from year 2018, 2019 and 2020.



These columns A B C contains numbers from 1 to 7. No decimals.
I want to count each of this number occurences and stack them into a bar plot.
Count all 1's, 2's, 3's ect.



Anyone got a good solution for this?






pandas matplotlib







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    up vote
    0
    down vote

    favorite












    So I have a pandas database with 4 columns.



    Date A B C.



    The dates contain all daily dates from year 2018, 2019 and 2020.



    These columns A B C contains numbers from 1 to 7. No decimals.
    I want to count each of this number occurences and stack them into a bar plot.
    Count all 1's, 2's, 3's ect.



    Anyone got a good solution for this?






    pandas matplotlib







    share|improve this question























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      So I have a pandas database with 4 columns.



      Date A B C.



      The dates contain all daily dates from year 2018, 2019 and 2020.



      These columns A B C contains numbers from 1 to 7. No decimals.
      I want to count each of this number occurences and stack them into a bar plot.
      Count all 1's, 2's, 3's ect.



      Anyone got a good solution for this?






      pandas matplotlib







      share|improve this question













      So I have a pandas database with 4 columns.



      Date A B C.



      The dates contain all daily dates from year 2018, 2019 and 2020.



      These columns A B C contains numbers from 1 to 7. No decimals.
      I want to count each of this number occurences and stack them into a bar plot.
      Count all 1's, 2's, 3's ect.



      Anyone got a good solution for this?






      pandas matplotlib




      pandas matplotlib






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 11 at 2:08









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      142






















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          Using melt with value_counts



          df.melt('Date').value.value_counts().plot(kind='bar')





          share|improve this answer




















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            1 Answer
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            active

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            1 Answer
            1






            active

            oldest

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            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            0
            down vote













            Using melt with value_counts



            df.melt('Date').value.value_counts().plot(kind='bar')





            share|improve this answer
























              up vote
              0
              down vote













              Using melt with value_counts



              df.melt('Date').value.value_counts().plot(kind='bar')





              share|improve this answer






















                up vote
                0
                down vote










                up vote
                0
                down vote









                Using melt with value_counts



                df.melt('Date').value.value_counts().plot(kind='bar')





                share|improve this answer












                Using melt with value_counts



                df.melt('Date').value.value_counts().plot(kind='bar')






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 11 at 2:17









                W-B

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