multiple matplotlib subplots: interleave pandas dataframe HTML with each subplot












0















I have a pandas.DataFrame with multiple rows (1 per trade I want to inspect)



trades = pandas.read_csv(...)


I want to plot each trade on a matplotlib subplot. I create a pyplot.figure using len(trades) to create sufficient height



fig = pyplot.figure(figsize=(40,15 * len(trades)))


I then iterate over each trade and generate a plot



for i,r in enumerate(trades.iterrows()):
_, trade = r

start = trade.open_time - datetime.timedelta(seconds=30)
end = trade.close_time + datetime.timedelta(seconds=30)

b = bids[start:end]
a = asks[start:end]

ax = fig.add_subplot(len(trades),1,i+1)

# plot bid/ask
ax.plot_date(b.index, b, fmt='-', label='bid')
ax.plot_date(a.index, a, fmt='-', label='ask')

# plot entry/exit markers
ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

ax.set_title("Trade {}".format(i+1, fontsize=10)
ax.set_xlabel("Date")
ax.set_ylabel("Price")

ax.legend(loc='best', fontsize='large')

pyplot.show()

# free resources
pyplot.close(fig.number)


This works great.



Now, however, I want to display the rendered HTML of the dataframe for the trade in question.



Since I am doing this in a jupyter notebook, from this SO answer I was able to find the following snippet which will display my dataframe in html:



t = pandas.DataFrame(trades.iloc[i]).T
IPython.display.display(IPython.display.HTML(t.to_html())


I insert this snippet into my loop.



The problem is that each trade's rendered HTML dataframe is printed one-after-the-other, and then after all of the dataframes have been printed, the plots are printed.



+-----------+
| dataframe |
+-----------+
+-----------+
| dataframe |
+-----------+
+-----------+
| dataframe |
+-----------+
+------+
| |
| plot |
| |
+------+
+------+
| |
| plot |
| |
+------+
+------+
| |
| plot |
| |
+------+


Given I have created a single large pyplot.figure, and I call pyplot.show() after the loop, this makes sense - inside the loop I output the dataframe HTML, and after the loop I display the plot.



Question:



How can I interleave the notebook HTML and each subplot?



+-----------+
| dataframe |
+-----------+
+------+
| |
| plot |
| |
+------+
+-----------+
| dataframe |
+-----------+
+------+
| |
| plot |
| |
+------+
+-----------+
| dataframe |
+-----------+
+------+
| |
| plot |
| |
+------+









share|improve this question



























    0















    I have a pandas.DataFrame with multiple rows (1 per trade I want to inspect)



    trades = pandas.read_csv(...)


    I want to plot each trade on a matplotlib subplot. I create a pyplot.figure using len(trades) to create sufficient height



    fig = pyplot.figure(figsize=(40,15 * len(trades)))


    I then iterate over each trade and generate a plot



    for i,r in enumerate(trades.iterrows()):
    _, trade = r

    start = trade.open_time - datetime.timedelta(seconds=30)
    end = trade.close_time + datetime.timedelta(seconds=30)

    b = bids[start:end]
    a = asks[start:end]

    ax = fig.add_subplot(len(trades),1,i+1)

    # plot bid/ask
    ax.plot_date(b.index, b, fmt='-', label='bid')
    ax.plot_date(a.index, a, fmt='-', label='ask')

    # plot entry/exit markers
    ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
    ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

    ax.set_title("Trade {}".format(i+1, fontsize=10)
    ax.set_xlabel("Date")
    ax.set_ylabel("Price")

    ax.legend(loc='best', fontsize='large')

    pyplot.show()

    # free resources
    pyplot.close(fig.number)


    This works great.



    Now, however, I want to display the rendered HTML of the dataframe for the trade in question.



    Since I am doing this in a jupyter notebook, from this SO answer I was able to find the following snippet which will display my dataframe in html:



    t = pandas.DataFrame(trades.iloc[i]).T
    IPython.display.display(IPython.display.HTML(t.to_html())


    I insert this snippet into my loop.



    The problem is that each trade's rendered HTML dataframe is printed one-after-the-other, and then after all of the dataframes have been printed, the plots are printed.



    +-----------+
    | dataframe |
    +-----------+
    +-----------+
    | dataframe |
    +-----------+
    +-----------+
    | dataframe |
    +-----------+
    +------+
    | |
    | plot |
    | |
    +------+
    +------+
    | |
    | plot |
    | |
    +------+
    +------+
    | |
    | plot |
    | |
    +------+


    Given I have created a single large pyplot.figure, and I call pyplot.show() after the loop, this makes sense - inside the loop I output the dataframe HTML, and after the loop I display the plot.



    Question:



    How can I interleave the notebook HTML and each subplot?



    +-----------+
    | dataframe |
    +-----------+
    +------+
    | |
    | plot |
    | |
    +------+
    +-----------+
    | dataframe |
    +-----------+
    +------+
    | |
    | plot |
    | |
    +------+
    +-----------+
    | dataframe |
    +-----------+
    +------+
    | |
    | plot |
    | |
    +------+









    share|improve this question

























      0












      0








      0








      I have a pandas.DataFrame with multiple rows (1 per trade I want to inspect)



      trades = pandas.read_csv(...)


      I want to plot each trade on a matplotlib subplot. I create a pyplot.figure using len(trades) to create sufficient height



      fig = pyplot.figure(figsize=(40,15 * len(trades)))


      I then iterate over each trade and generate a plot



      for i,r in enumerate(trades.iterrows()):
      _, trade = r

      start = trade.open_time - datetime.timedelta(seconds=30)
      end = trade.close_time + datetime.timedelta(seconds=30)

      b = bids[start:end]
      a = asks[start:end]

      ax = fig.add_subplot(len(trades),1,i+1)

      # plot bid/ask
      ax.plot_date(b.index, b, fmt='-', label='bid')
      ax.plot_date(a.index, a, fmt='-', label='ask')

      # plot entry/exit markers
      ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
      ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

      ax.set_title("Trade {}".format(i+1, fontsize=10)
      ax.set_xlabel("Date")
      ax.set_ylabel("Price")

      ax.legend(loc='best', fontsize='large')

      pyplot.show()

      # free resources
      pyplot.close(fig.number)


      This works great.



      Now, however, I want to display the rendered HTML of the dataframe for the trade in question.



      Since I am doing this in a jupyter notebook, from this SO answer I was able to find the following snippet which will display my dataframe in html:



      t = pandas.DataFrame(trades.iloc[i]).T
      IPython.display.display(IPython.display.HTML(t.to_html())


      I insert this snippet into my loop.



      The problem is that each trade's rendered HTML dataframe is printed one-after-the-other, and then after all of the dataframes have been printed, the plots are printed.



      +-----------+
      | dataframe |
      +-----------+
      +-----------+
      | dataframe |
      +-----------+
      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+
      +------+
      | |
      | plot |
      | |
      +------+
      +------+
      | |
      | plot |
      | |
      +------+


      Given I have created a single large pyplot.figure, and I call pyplot.show() after the loop, this makes sense - inside the loop I output the dataframe HTML, and after the loop I display the plot.



      Question:



      How can I interleave the notebook HTML and each subplot?



      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+
      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+
      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+









      share|improve this question














      I have a pandas.DataFrame with multiple rows (1 per trade I want to inspect)



      trades = pandas.read_csv(...)


      I want to plot each trade on a matplotlib subplot. I create a pyplot.figure using len(trades) to create sufficient height



      fig = pyplot.figure(figsize=(40,15 * len(trades)))


      I then iterate over each trade and generate a plot



      for i,r in enumerate(trades.iterrows()):
      _, trade = r

      start = trade.open_time - datetime.timedelta(seconds=30)
      end = trade.close_time + datetime.timedelta(seconds=30)

      b = bids[start:end]
      a = asks[start:end]

      ax = fig.add_subplot(len(trades),1,i+1)

      # plot bid/ask
      ax.plot_date(b.index, b, fmt='-', label='bid')
      ax.plot_date(a.index, a, fmt='-', label='ask')

      # plot entry/exit markers
      ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
      ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

      ax.set_title("Trade {}".format(i+1, fontsize=10)
      ax.set_xlabel("Date")
      ax.set_ylabel("Price")

      ax.legend(loc='best', fontsize='large')

      pyplot.show()

      # free resources
      pyplot.close(fig.number)


      This works great.



      Now, however, I want to display the rendered HTML of the dataframe for the trade in question.



      Since I am doing this in a jupyter notebook, from this SO answer I was able to find the following snippet which will display my dataframe in html:



      t = pandas.DataFrame(trades.iloc[i]).T
      IPython.display.display(IPython.display.HTML(t.to_html())


      I insert this snippet into my loop.



      The problem is that each trade's rendered HTML dataframe is printed one-after-the-other, and then after all of the dataframes have been printed, the plots are printed.



      +-----------+
      | dataframe |
      +-----------+
      +-----------+
      | dataframe |
      +-----------+
      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+
      +------+
      | |
      | plot |
      | |
      +------+
      +------+
      | |
      | plot |
      | |
      +------+


      Given I have created a single large pyplot.figure, and I call pyplot.show() after the loop, this makes sense - inside the loop I output the dataframe HTML, and after the loop I display the plot.



      Question:



      How can I interleave the notebook HTML and each subplot?



      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+
      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+
      +-----------+
      | dataframe |
      +-----------+
      +------+
      | |
      | plot |
      | |
      +------+






      python pandas matplotlib jupyter-notebook






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 '18 at 22:51









      Steve LorimerSteve Lorimer

      12.7k1267142




      12.7k1267142
























          1 Answer
          1






          active

          oldest

          votes


















          1














          I believe you need to create three separate figures and call plt.show() within the loop. Something like this (side note, I don't think one needs pyplot.close using the Jupyter notebook frontend):



          trades = pandas.read_csv(...)

          for i, r in enumerate(trades.iterrows()):
          _, trade = r

          start = trade.open_time - datetime.timedelta(seconds=30)
          end = trade.close_time + datetime.timedelta(seconds=30)

          b = bids[start:end]
          a = asks[start:end]

          fig, ax = plt.subplots(figsize=(40, 15))

          # plot bid/ask
          ax.plot_date(b.index, b, fmt='-', label='bid')
          ax.plot_date(a.index, a, fmt='-', label='ask')

          # plot entry/exit markers
          ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
          ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

          ax.set_title("Trade {}".format(i+1, fontsize=10))
          ax.set_xlabel("Date")
          ax.set_ylabel("Price")

          ax.legend(loc='best', fontsize='large')

          t = pandas.DataFrame(trades.iloc[i]).T
          IPython.display.display(IPython.display.HTML(t.to_html())

          pyplot.show()





          share|improve this answer



















          • 1





            damn, it's so obvious! Thank you!

            – Steve Lorimer
            Nov 21 '18 at 22:59






          • 1





            @SteveLorimer, you're welcome, and happy coding!

            – Peter Leimbigler
            Nov 21 '18 at 23:00











          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%2f53421543%2fmultiple-matplotlib-subplots-interleave-pandas-dataframe-html-with-each-subplot%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














          I believe you need to create three separate figures and call plt.show() within the loop. Something like this (side note, I don't think one needs pyplot.close using the Jupyter notebook frontend):



          trades = pandas.read_csv(...)

          for i, r in enumerate(trades.iterrows()):
          _, trade = r

          start = trade.open_time - datetime.timedelta(seconds=30)
          end = trade.close_time + datetime.timedelta(seconds=30)

          b = bids[start:end]
          a = asks[start:end]

          fig, ax = plt.subplots(figsize=(40, 15))

          # plot bid/ask
          ax.plot_date(b.index, b, fmt='-', label='bid')
          ax.plot_date(a.index, a, fmt='-', label='ask')

          # plot entry/exit markers
          ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
          ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

          ax.set_title("Trade {}".format(i+1, fontsize=10))
          ax.set_xlabel("Date")
          ax.set_ylabel("Price")

          ax.legend(loc='best', fontsize='large')

          t = pandas.DataFrame(trades.iloc[i]).T
          IPython.display.display(IPython.display.HTML(t.to_html())

          pyplot.show()





          share|improve this answer



















          • 1





            damn, it's so obvious! Thank you!

            – Steve Lorimer
            Nov 21 '18 at 22:59






          • 1





            @SteveLorimer, you're welcome, and happy coding!

            – Peter Leimbigler
            Nov 21 '18 at 23:00
















          1














          I believe you need to create three separate figures and call plt.show() within the loop. Something like this (side note, I don't think one needs pyplot.close using the Jupyter notebook frontend):



          trades = pandas.read_csv(...)

          for i, r in enumerate(trades.iterrows()):
          _, trade = r

          start = trade.open_time - datetime.timedelta(seconds=30)
          end = trade.close_time + datetime.timedelta(seconds=30)

          b = bids[start:end]
          a = asks[start:end]

          fig, ax = plt.subplots(figsize=(40, 15))

          # plot bid/ask
          ax.plot_date(b.index, b, fmt='-', label='bid')
          ax.plot_date(a.index, a, fmt='-', label='ask')

          # plot entry/exit markers
          ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
          ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

          ax.set_title("Trade {}".format(i+1, fontsize=10))
          ax.set_xlabel("Date")
          ax.set_ylabel("Price")

          ax.legend(loc='best', fontsize='large')

          t = pandas.DataFrame(trades.iloc[i]).T
          IPython.display.display(IPython.display.HTML(t.to_html())

          pyplot.show()





          share|improve this answer



















          • 1





            damn, it's so obvious! Thank you!

            – Steve Lorimer
            Nov 21 '18 at 22:59






          • 1





            @SteveLorimer, you're welcome, and happy coding!

            – Peter Leimbigler
            Nov 21 '18 at 23:00














          1












          1








          1







          I believe you need to create three separate figures and call plt.show() within the loop. Something like this (side note, I don't think one needs pyplot.close using the Jupyter notebook frontend):



          trades = pandas.read_csv(...)

          for i, r in enumerate(trades.iterrows()):
          _, trade = r

          start = trade.open_time - datetime.timedelta(seconds=30)
          end = trade.close_time + datetime.timedelta(seconds=30)

          b = bids[start:end]
          a = asks[start:end]

          fig, ax = plt.subplots(figsize=(40, 15))

          # plot bid/ask
          ax.plot_date(b.index, b, fmt='-', label='bid')
          ax.plot_date(a.index, a, fmt='-', label='ask')

          # plot entry/exit markers
          ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
          ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

          ax.set_title("Trade {}".format(i+1, fontsize=10))
          ax.set_xlabel("Date")
          ax.set_ylabel("Price")

          ax.legend(loc='best', fontsize='large')

          t = pandas.DataFrame(trades.iloc[i]).T
          IPython.display.display(IPython.display.HTML(t.to_html())

          pyplot.show()





          share|improve this answer













          I believe you need to create three separate figures and call plt.show() within the loop. Something like this (side note, I don't think one needs pyplot.close using the Jupyter notebook frontend):



          trades = pandas.read_csv(...)

          for i, r in enumerate(trades.iterrows()):
          _, trade = r

          start = trade.open_time - datetime.timedelta(seconds=30)
          end = trade.close_time + datetime.timedelta(seconds=30)

          b = bids[start:end]
          a = asks[start:end]

          fig, ax = plt.subplots(figsize=(40, 15))

          # plot bid/ask
          ax.plot_date(b.index, b, fmt='-', label='bid')
          ax.plot_date(a.index, a, fmt='-', label='ask')

          # plot entry/exit markers
          ax.plot(trade.open_time, trade.open_price, marker='o', color='b')
          ax.plot(trade.close_time, trade.close_price, marker='o', color='r')

          ax.set_title("Trade {}".format(i+1, fontsize=10))
          ax.set_xlabel("Date")
          ax.set_ylabel("Price")

          ax.legend(loc='best', fontsize='large')

          t = pandas.DataFrame(trades.iloc[i]).T
          IPython.display.display(IPython.display.HTML(t.to_html())

          pyplot.show()






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 21 '18 at 22:57









          Peter LeimbiglerPeter Leimbigler

          4,5331416




          4,5331416








          • 1





            damn, it's so obvious! Thank you!

            – Steve Lorimer
            Nov 21 '18 at 22:59






          • 1





            @SteveLorimer, you're welcome, and happy coding!

            – Peter Leimbigler
            Nov 21 '18 at 23:00














          • 1





            damn, it's so obvious! Thank you!

            – Steve Lorimer
            Nov 21 '18 at 22:59






          • 1





            @SteveLorimer, you're welcome, and happy coding!

            – Peter Leimbigler
            Nov 21 '18 at 23:00








          1




          1





          damn, it's so obvious! Thank you!

          – Steve Lorimer
          Nov 21 '18 at 22:59





          damn, it's so obvious! Thank you!

          – Steve Lorimer
          Nov 21 '18 at 22:59




          1




          1





          @SteveLorimer, you're welcome, and happy coding!

          – Peter Leimbigler
          Nov 21 '18 at 23:00





          @SteveLorimer, you're welcome, and happy coding!

          – Peter Leimbigler
          Nov 21 '18 at 23:00




















          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%2f53421543%2fmultiple-matplotlib-subplots-interleave-pandas-dataframe-html-with-each-subplot%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







          這個網誌中的熱門文章

          Xamarin.form Move up view when keyboard appear

          Post-Redirect-Get with Spring WebFlux and Thymeleaf

          Anylogic : not able to use stopDelay()