Graphing gender expression in my org-mode journal

journal.org.txt

* Graphs
** Gender Expression
#+name: mtf
#+BEGIN_SRC emacs-lisp :exports none :results silent
  (->>
   (org-map-entries
    (lambda ()
      (list (car (s-split " " (org-no-properties (org-get-heading t t t t))))
            (--if-let (org-entry-get (point) "MTF")
                (string-to-number it))
            (--if-let (org-entry-get (point) "Outfit")
                (s-split " " it)))))
   (-filter (lambda (x) (= 10 (length (car x))))))
#+END_SRC

#+BEGIN_SRC python :var data=mtf :var filename="journal-gender-expression.png" :results file :exports results
  from datetime import datetime
  import matplotlib
  matplotlib.use('SVG')
  import matplotlib.pyplot as plt

  import pandas as pd

  data = [{'date': datetime.strptime(date, '%Y-%m-%d'),
           'mtf': mtf or None,
           'outfit': outfit}
          for date, mtf, outfit in data]
  data = pd.DataFrame(data).set_index('date')
  mtf = pd.Series(data[data['mtf'] > 0]['mtf'] - 3)
  hasboobs = data['outfit'].apply(lambda x: 'boobs' in x)
  boobs = pd.Series(data[hasboobs]['mtf'] - 3)
  fig, ax = plt.subplots()
  ax.set_title('Gender Expression Over Time')
  mtf.plot(ax=ax, ylim=(-2, 2), yticks=[2, 0, -2], color='mediumpurple', label='Gender')
  boobs.plot(ax=ax, marker='o', linewidth=0, color='hotpink', label='Boobs')
  ax.set_yticklabels(['F', 'A', 'M'])
  ax.axhspan(-2, 0, alpha=0.3, color='lightblue')
  ax.axhspan(0, 2, alpha=0.3, color='pink')
  ax.legend()
  plt.savefig(filename)
  return filename
#+END_SRC

#+RESULTS:
[[file:journal-gender-expression.png]]

* 2018
** 2018-06 June
*** 2018-06-09 Saturday
:PROPERTIES:
:MTF:      5
:Outfit:   boobs top tight-jeans sandals makeup
:END:

[2018-06-09 Sat 21:22]

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