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Merged
merged 2 commits into from
Jul 12, 2015
Merged

Add % bachelors degrees plot example #4611

merged 2 commits into from
Jul 12, 2015

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rhiever
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@rhiever rhiever commented Jul 9, 2015

Here's a rework of the "% bachelors degrees conferred to women in the USA" chart that I promised to submit to the gallery ages ago. This doesn't require any custom styles or anything like that - all the styling is right there in the example code.

Here's what the plot looks like with the current code:

percent-bachelors-degrees-women-usa

I still have a couple issues:

  • The title isn't centered over the entire chart. I tried using suptitle, but it looks exactly the same.
  • I'm using a hacky method to generate the grid lines. Suggestions for a better way to do this?

@jenshnielsen
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Nice. I would replace the figure and axis generation with:

fig, ax = plt.subplots(1, 1, figsize=(12, 14))

I think the title looks badly centred because most of the text is outside the plot. Increasing the xlim to something like 2016 improves the centering for me.

The build error is due to the pep8 (Only whitespace I think)

@tacaswell tacaswell added this to the next point release milestone Jul 10, 2015
@rhiever
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rhiever commented Jul 11, 2015

Thanks @jenshnielsen. I made the change you suggested and ran the file through autopep8.

@joferkington
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Great example, @rhiever!

On a side note, you could also write a few parts in a bit more efficient way. Here's a slightly different way of writing it. (I've removed all comments here just to make it fit in a github comment easier. Here's the commented version: https://gist.github.com/joferkington/4eb02c5f1c051772e590)

Regardless, this is just a suggestion, feel free to ignore it.

import matplotlib.pyplot as plt
from matplotlib.mlab import csv2rec
from matplotlib.cbook import get_sample_data

fname = 'percent_bachelors_degrees_women_usa.csv'
gender_degree_data = csv2rec(fname)

color_sequence = ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c',
                  '#98df8a', '#d62728', '#ff9896', '#9467bd', '#c5b0d5',
                  '#8c564b', '#c49c94', '#e377c2', '#f7b6d2', '#7f7f7f',
                  '#c7c7c7', '#bcbd22', '#dbdb8d', '#17becf', '#9edae5']

majors = ['Health Professions', 'Public Administration', 'Education',
          'Psychology', 'Foreign Languages', 'English',
          'Communications\nand Journalism', 'Art and Performance', 'Biology',
          'Agriculture', 'Social Sciences and History', 'Business',
          'Math and Statistics', 'Architecture', 'Physical Sciences',
          'Computer Science', 'Engineering']

y_offsets = {'Foreign Languages': 0.5, 'English': -0.5,
             'Communications\nand Journalism': 2.5,
             'Art and Performance': -0.25, 'Agriculture': 1.25,
             'Social Sciences and History': 0.25, 'Business': -0.75,
             'Math and Statistics': 0.75, 'Architecture': -0.75,
             'Computer Science': 0.75, 'Engineering': -0.25}

fig, ax = plt.subplots(figsize=(12, 14))
plt.setp(ax.spines.values(), visible=False)

ax.grid(axis='y', ls='--', lw=0.5, color='black', alpha=0.3)
ax.set(yticks=range(10, 100, 10), xticks=range(1970, 2020, 10))
ax.tick_params(axis='both', which='both', bottom='off', top='off',
                labelbottom='on', left='off', right='off', labelleft='on',
                labelsize=14)

for color, column in zip(color_sequence, majors):
    column_rec_name = column.replace('\n', '_').replace(' ', '_').lower()
    line, = ax.plot(gender_degree_data.year,
                    gender_degree_data[column_rec_name],
                    lw=2.5, color=color)

    y_pos = gender_degree_data[column_rec_name][-1]
    if column in y_offsets:
        y_pos += y_offsets[column]

    ax.annotate(column, xy=(1, y_pos), xytext=(10, 0), fontsize=14, color=color,
                xycoords=('axes fraction', 'data'),
                textcoords='offset points', va='center')

fig.suptitle('Percentage of Bachelor\'s degrees conferred to women in '
             'the U.S.A. by major (1970-2011)\n', fontsize=18, y=0.95)

ax.margins(x=0, y=0.05)
ax.set_ylim(bottom=0)
fig.subplots_adjust(left=0.05, right=0.75, bottom=0.05)

plt.savefig('percent-bachelors-degrees-women-usa.png', bbox_inches='tight')
plt.show()

@WeatherGod
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I am going to merge this as-is. Feel free to improve the example in a separate PR.

WeatherGod added a commit that referenced this pull request Jul 12, 2015
@WeatherGod
Merge pull request #4611 from rhiever/master
5795f8d 
Add % bachelors degrees plot example
@WeatherGod WeatherGod merged commit 5795f8d into matplotlib:master Jul 12, 2015
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5 participants
@rhiever @jenshnielsen @joferkington @WeatherGod @tacaswell