Script to plot gender roadtrip data that I generated. Used for my post on Beaker Report: http://www.beakerreport.com/2013/05/28/genderdriving/

gistfile1.py

#!/usr/bin/python

'''
Script to plot gender roadtrip data using matplotlib
'''

__author__ = "Kyle Barlow"
__email__ = "[email protected]"
__license__ = "GPL v3"

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.

# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.font_manager as fm

default_colors=['blue','pink','red','green']

class GenderData:
    def __init__(self):
        self.woman={
            'man' : 7,
            'woman' : 3,
            'self' : 3
            }
        self.man={
            'man' : 4,
            'woman' : 18,
            'self' : 15
            }
        
        self.men_total=0
        self.men_driving=0
        self.men_passengers=0
        self.men_solo=0

        self.women_total=0
        self.women_driving=0
        self.women_passengers=0
        self.women_solo=0

        for key in self.woman:
            val=self.woman[key]
            self.women_driving+=val
            self.women_total+=val
            if key=='man':
                self.men_total+=val
                self.men_passengers+=val
            elif key=='woman':
                self.women_total+=val
                self.women_passengers+=val
            elif key=='self':
                self.women_solo+=val

        for key in self.man:
            val=self.man[key]
            self.men_driving+=val
            self.men_total+=val
            if key=='man':
                self.men_total+=val
                self.men_passengers+=val
            elif key=='woman':
                self.women_total+=val
                self.women_passengers+=val
            elif key=='self':
                self.men_solo+=val

    def print_summary(self):
        print '%d total women (%d drivers, %d passengers)'%(self.women_total,self.women_driving,self.women_passengers)
        print '%d total men (%d drivers, %d passengers)'%(self.men_total,self.men_driving,self.men_passengers)
                

    def plot(self):
        myBlue=(.04,.39,.64)

        fig = plt.figure(figsize=(12,10),dpi=75)

        gs = gridspec.GridSpec(4, 1)
        gs.update()

        # Make graph 0
        ax0=plt.subplot(gs[0])

        t='Count of mixed gender driving pairs\nobserved on Highway 101 on 5/24/2013'
        y_labels=('Women driving men', 'Men driving women')

        data=(self.woman['man'],self.man['woman'])

        make_bargraph(ax0,data,title_label=t,xlabel='Count',ylabels=y_labels,
                      colors=['pink',myBlue],)

        # Make graph 1
        ax1=plt.subplot(gs[1])

        t='Total drivers'
        y_labels=('Female', 'Male')

        data=(self.women_driving,self.men_driving)
        make_bargraph(ax1,data,title_label=t,xlabel='Count',ylabels=y_labels,
                      colors=['pink',myBlue],)

        # Make graph 2
        ax2=plt.subplot(gs[2])

        t='Total on the road\n(drivers or passengers)'
        y_labels=('Female', 'Male')

        data=(self.women_total,self.men_total)
        make_bargraph(ax2,data,title_label=t,xlabel='Count',ylabels=y_labels,
                      colors=['pink',myBlue],)

        # Make graph 3
        ax3=plt.subplot(gs[3])

        t='Solo drivers'
        y_labels=('Female', 'Male')

        data=(self.women_solo,self.men_solo)
        make_bargraph(ax3,data,title_label=t,xlabel='Count',ylabels=y_labels,
                      colors=['pink',myBlue],)

        #ax.legend( (rects1[0], rects2[0]), ('Women driving men', 'Men driving women'), loc='lower right' )
        
        fig.patch.set_facecolor('white')

        gs.tight_layout(fig)

        plt.show()

def make_bargraph(ax,data,title_label='Title',xlabel='X axis',ylabels=[],
                  colors=[],):
    width=1.0
    spacer=width/4
    bar_y_locations=[x*width+spacer*(x+1) for x in xrange(0,len(data))]
    rects=[]
    for i,datum in enumerate(data):
        if len(colors)<i:
            color=default_colors[color]
        else:
            color=colors[i]
        rect = ax.barh(bar_y_locations[i],
                       (datum),
                       width, color=color)
        rects.append(rect)

    plt.ylim([0,bar_y_locations[-1]+width+spacer])
    plt.xlim([0,max(data)*1.05])

    title_font='Oswald-Regular.ttf'
    small_font='OpenSans-Regular.ttf'
    title_prop = fm.FontProperties(fname=title_font, size=32)
    label_prop = fm.FontProperties(fname=small_font, size=24)
    tick_prop = fm.FontProperties(fname=small_font, size=18)        

    ax.set_title(title_label,fontproperties=title_prop)
    ax.set_xlabel(xlabel,fontproperties=label_prop)
    ytick_locations=[x+width/2 for x in bar_y_locations]#[width/2+spacer,3*(width/2)+2*spacer]
    ax.set_yticks(ytick_locations)
    if len(ylabels)==len(data):
        ax.set_yticklabels(ylabels,
                           fontproperties=tick_prop)

    for i in xrange(0,len(data)):
        y_loc=ytick_locations[i]-0.05
        count=data[i]
        plt.annotate(str(count),xy=(count+0.2,y_loc),xycoords='data',fontproperties=tick_prop)

    for label in ax.get_xticklabels():
        label.set_fontproperties(tick_prop)

def main():
    data=GenderData()
    data.print_summary()
    data.plot()

if __name__=='__main__':
    main()