Plotting time in x axis using matplotlib










2















I have the following dataset:



pressuredfjan1[['Unit','Time1']].head()
Out[53]:
Unit Time1
0 321.3599 1970-01-01 00:00:40
1 321.3599 1970-01-01 00:04:40
2 321.6651 1970-01-01 00:06:40
3 320.7496 1970-01-01 00:10:40
4 322.2755 1970-01-01 00:14:40


I am trying to plot Unit against Time1 in an HH:MM:SS format.
I've tried the following code:



dates = dates.date2num(list(pressuredfjan1['Time1']))
fig = plt.figure(figsize=(20,10))
ax1 = fig.add_subplot(111)
ax1.plot(dates,pressuredfjan1['Unit'])
plt.show()


This gives me the plot, but I am not getting HH:MM:SS format in the x-axis. Instead, I'm getting 3.1, 3.2, 3.4...Le14 etc. Can somebody help me out here please? Thanks.










share|improve this question




























    2















    I have the following dataset:



    pressuredfjan1[['Unit','Time1']].head()
    Out[53]:
    Unit Time1
    0 321.3599 1970-01-01 00:00:40
    1 321.3599 1970-01-01 00:04:40
    2 321.6651 1970-01-01 00:06:40
    3 320.7496 1970-01-01 00:10:40
    4 322.2755 1970-01-01 00:14:40


    I am trying to plot Unit against Time1 in an HH:MM:SS format.
    I've tried the following code:



    dates = dates.date2num(list(pressuredfjan1['Time1']))
    fig = plt.figure(figsize=(20,10))
    ax1 = fig.add_subplot(111)
    ax1.plot(dates,pressuredfjan1['Unit'])
    plt.show()


    This gives me the plot, but I am not getting HH:MM:SS format in the x-axis. Instead, I'm getting 3.1, 3.2, 3.4...Le14 etc. Can somebody help me out here please? Thanks.










    share|improve this question


























      2












      2








      2


      1






      I have the following dataset:



      pressuredfjan1[['Unit','Time1']].head()
      Out[53]:
      Unit Time1
      0 321.3599 1970-01-01 00:00:40
      1 321.3599 1970-01-01 00:04:40
      2 321.6651 1970-01-01 00:06:40
      3 320.7496 1970-01-01 00:10:40
      4 322.2755 1970-01-01 00:14:40


      I am trying to plot Unit against Time1 in an HH:MM:SS format.
      I've tried the following code:



      dates = dates.date2num(list(pressuredfjan1['Time1']))
      fig = plt.figure(figsize=(20,10))
      ax1 = fig.add_subplot(111)
      ax1.plot(dates,pressuredfjan1['Unit'])
      plt.show()


      This gives me the plot, but I am not getting HH:MM:SS format in the x-axis. Instead, I'm getting 3.1, 3.2, 3.4...Le14 etc. Can somebody help me out here please? Thanks.










      share|improve this question
















      I have the following dataset:



      pressuredfjan1[['Unit','Time1']].head()
      Out[53]:
      Unit Time1
      0 321.3599 1970-01-01 00:00:40
      1 321.3599 1970-01-01 00:04:40
      2 321.6651 1970-01-01 00:06:40
      3 320.7496 1970-01-01 00:10:40
      4 322.2755 1970-01-01 00:14:40


      I am trying to plot Unit against Time1 in an HH:MM:SS format.
      I've tried the following code:



      dates = dates.date2num(list(pressuredfjan1['Time1']))
      fig = plt.figure(figsize=(20,10))
      ax1 = fig.add_subplot(111)
      ax1.plot(dates,pressuredfjan1['Unit'])
      plt.show()


      This gives me the plot, but I am not getting HH:MM:SS format in the x-axis. Instead, I'm getting 3.1, 3.2, 3.4...Le14 etc. Can somebody help me out here please? Thanks.







      python datetime matplotlib timedelta






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 10:00









      Joe

      6,06421430




      6,06421430










      asked Nov 14 '18 at 7:23









      IndigoChildIndigoChild

      340312




      340312






















          1 Answer
          1






          active

          oldest

          votes


















          1














          You can use:



          import matplotlib as mpl

          pressuredfjan1['dates'] = pd.to_datetime(pressuredfjan1['Time1']).dt.strftime('%H:%M:%S')
          fig = plt.figure(figsize=(20,10))
          ax1 = fig.add_subplot(111)
          majorFormatter = mpl.dates.DateFormatter('%H:%M:%S')
          ax1.xaxis.set_major_formatter(majorFormatter)
          plt.plot_date(pressuredfjan1['dates'], pressuredfjan1['Unit'])
          plt.show()


          enter image description here






          share|improve this answer























          • Thanks a lot ! :)

            – IndigoChild
            Nov 14 '18 at 9:30











          • You aer welcome! :)

            – Joe
            Nov 14 '18 at 9:30










          Your Answer






          StackExchange.ifUsing("editor", function ()
          StackExchange.using("externalEditor", function ()
          StackExchange.using("snippets", function ()
          StackExchange.snippets.init();
          );
          );
          , "code-snippets");

          StackExchange.ready(function()
          var channelOptions =
          tags: "".split(" "),
          id: "1"
          ;
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function()
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled)
          StackExchange.using("snippets", function()
          createEditor();
          );

          else
          createEditor();

          );

          function createEditor()
          StackExchange.prepareEditor(
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader:
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          ,
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          );



          );













          draft saved

          draft discarded


















          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53294998%2fplotting-time-in-x-axis-using-matplotlib%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown

























          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          You can use:



          import matplotlib as mpl

          pressuredfjan1['dates'] = pd.to_datetime(pressuredfjan1['Time1']).dt.strftime('%H:%M:%S')
          fig = plt.figure(figsize=(20,10))
          ax1 = fig.add_subplot(111)
          majorFormatter = mpl.dates.DateFormatter('%H:%M:%S')
          ax1.xaxis.set_major_formatter(majorFormatter)
          plt.plot_date(pressuredfjan1['dates'], pressuredfjan1['Unit'])
          plt.show()


          enter image description here






          share|improve this answer























          • Thanks a lot ! :)

            – IndigoChild
            Nov 14 '18 at 9:30











          • You aer welcome! :)

            – Joe
            Nov 14 '18 at 9:30















          1














          You can use:



          import matplotlib as mpl

          pressuredfjan1['dates'] = pd.to_datetime(pressuredfjan1['Time1']).dt.strftime('%H:%M:%S')
          fig = plt.figure(figsize=(20,10))
          ax1 = fig.add_subplot(111)
          majorFormatter = mpl.dates.DateFormatter('%H:%M:%S')
          ax1.xaxis.set_major_formatter(majorFormatter)
          plt.plot_date(pressuredfjan1['dates'], pressuredfjan1['Unit'])
          plt.show()


          enter image description here






          share|improve this answer























          • Thanks a lot ! :)

            – IndigoChild
            Nov 14 '18 at 9:30











          • You aer welcome! :)

            – Joe
            Nov 14 '18 at 9:30













          1












          1








          1







          You can use:



          import matplotlib as mpl

          pressuredfjan1['dates'] = pd.to_datetime(pressuredfjan1['Time1']).dt.strftime('%H:%M:%S')
          fig = plt.figure(figsize=(20,10))
          ax1 = fig.add_subplot(111)
          majorFormatter = mpl.dates.DateFormatter('%H:%M:%S')
          ax1.xaxis.set_major_formatter(majorFormatter)
          plt.plot_date(pressuredfjan1['dates'], pressuredfjan1['Unit'])
          plt.show()


          enter image description here






          share|improve this answer













          You can use:



          import matplotlib as mpl

          pressuredfjan1['dates'] = pd.to_datetime(pressuredfjan1['Time1']).dt.strftime('%H:%M:%S')
          fig = plt.figure(figsize=(20,10))
          ax1 = fig.add_subplot(111)
          majorFormatter = mpl.dates.DateFormatter('%H:%M:%S')
          ax1.xaxis.set_major_formatter(majorFormatter)
          plt.plot_date(pressuredfjan1['dates'], pressuredfjan1['Unit'])
          plt.show()


          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 14 '18 at 7:55









          JoeJoe

          6,06421430




          6,06421430












          • Thanks a lot ! :)

            – IndigoChild
            Nov 14 '18 at 9:30











          • You aer welcome! :)

            – Joe
            Nov 14 '18 at 9:30

















          • Thanks a lot ! :)

            – IndigoChild
            Nov 14 '18 at 9:30











          • You aer welcome! :)

            – Joe
            Nov 14 '18 at 9:30
















          Thanks a lot ! :)

          – IndigoChild
          Nov 14 '18 at 9:30





          Thanks a lot ! :)

          – IndigoChild
          Nov 14 '18 at 9:30













          You aer welcome! :)

          – Joe
          Nov 14 '18 at 9:30





          You aer welcome! :)

          – Joe
          Nov 14 '18 at 9:30



















          draft saved

          draft discarded
















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid


          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.

          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53294998%2fplotting-time-in-x-axis-using-matplotlib%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Use pre created SQLite database for Android project in kotlin

          Darth Vader #20

          Ondo