Code Optimization: Guided Project: Visualizing The Gender Gap In College Degrees

Q&A DQ Courses
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#1

Screen Link:
https://app.dataquest.io/m/149/guided-project%3A-visualizing-the-gender-gap-in-college-degrees/2/comparing-across-all-degrees

My Code: 

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

alist = [stem_cats, lib_arts_cats, other_cats]
for cats in alist:
    fig = plt.figure(figsize=(16, 20))
    count = 0
    for sp in range(count, 18, 3):
        cat_index = int((sp - count)/3)
        if len(cats) - 1 < cat_index:
            plt.show()
            count += 1
            continue
        else:
            ax = fig.add_subplot(6, 3, sp+1)
            ax.plot(women_degrees['Year'], women_degrees[cats[cat_index]], c=cb_dark_blue, label='Women', linewidth=3)
            ax.plot(women_degrees['Year'], 100-women_degrees[cats[cat_index]], c=cb_orange, label='Men', linewidth=3)
            for key, spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0, 100)
            ax.set_title(cats[cat_index])
            ax.tick_params(bottom='off', top='off', left='off', right='off')

            if cat_index == 0:
                ax.text(2003, 85, 'Women')
                ax.text(2005, 10, 'Men')
            elif cat_index == 5:
                ax.text(2005, 87, 'Men')
                ax.text(2003, 7, 'Women')

What I expected to happen:
So I was trying to plot the entire graphs in one go. I have been able to plot all in a column.
But I want them in three columns. How do I go about this?

2 Likes
GP - Visualizing The Gender Gap In College Degrees (all plots in one loop w/o repetitions)
#2

For me I looped range(6), then added the plots in different columns, my figure has 1 row, and 6 columns

cb_dark_blue = (0/255,107/255,164/255)
cb_orange = (255/255, 128/255, 14/255)
stem_cats = ['Engineering', 'Computer Science', 'Psychology', 'Biology', 'Physical Sciences', 'Math and Statistics']

fig = plt.figure(figsize=(18, 3))

for sp in range(0,6):
    ax = fig.add_subplot(1,6,sp+1)
    ax.plot(women_degrees['Year'], women_degrees[stem_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
    ax.plot(women_degrees['Year'], 100-women_degrees[stem_cats[sp]], c=cb_orange, label='Men', linewidth=3)
    ax.spines["right"].set_visible(False)    
    ax.spines["left"].set_visible(False)
    ax.spines["top"].set_visible(False)    
    ax.spines["bottom"].set_visible(False)
    ax.set_xlim(1968, 2011)
    ax.set_ylim(0,100)
    ax.set_title(stem_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")
    
    if sp == 0:
        ax.text(2005, 87, 'Men')
        ax.text(2002, 8, 'Women')
    elif sp == 5:
        ax.text(2005, 62, 'Men')
        ax.text(2001, 35, 'Women')
plt.show()
#3

Thank you.

But I want stems_cats, lib_arts_cats, and other_cats plots with this code at one go.

This is only for stem_cats. I want to optimize the code. This is why I have included alist

#4

You could use plt.subplots(nrows, ncols, index).

With this everything should be plotted as desired.

#5

I have subplots but there are all in one column.

I want the code to switch columns immediately it hits continue

#6

1 row 3 columns?

#7

@monorienaghogho

Try initializing count = 0 outside the for loop .

It gets reset on every run, so this can be the issue.

#8

Five or 6 rows depending on the cats and three columns. Each column representing one cat: stem, other, liberal.

#9

This totally changes the equation. The graph plots like this. For stem the subplot numbers are: 1, 4, 7, 10 etc if you have 3 columns.

    for sp in range(count, 18, 3):
        cat_index = int((sp - count)/3)
        if len(cats) - 1 < cat_index:
            plt.show()
            count += 1
            continue
#10

In that case you’ll have to loop every column at a time, as illustrated in the instruction.

#11

Okay then. I may have to stick to the instructions for now.

#12

Try moving count = 0 before the first for loop and changing the if clause condition to ==.

I think this should move the graphs properly and enable count to reach 0, 1, 2.

#13

Will try this. Thanks!

1 Like
#14

@vorunplz solved the problem with this code:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

women_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')
cb_dark_blue = (0/255,107/255,164/255)
cb_orange = (255/255, 128/255, 14/255)

stem_cats = ['Psychology', 'Biology', 'Math and Statistics', 'Physical Sciences', 'Computer Science', 'Engineering']

lib_arts_cats = ['Foreign Languages', 'English', 'Communications and Journalism', 'Art and Performance', 'Social Sciences and History']

other_cats = ['Health Professions', 'Public Administration', 'Education', 'Agriculture','Business', 'Architecture']

cats = [stem_cats,lib_arts_cats,other_cats]

fig = plt.figure(figsize=(15, 20))

def diagramVertic(fig,rows,cols,plotsCol,x,women,deg):
    len_deg = len(deg)
    plot_position = np.arange(start=plotsCol,stop=((rows*cols)-(3-plotsCol))+1,step=cols)
    for sp in range(0,len_deg):
        ax_obj = fig.add_subplot(rows,cols,plot_position[sp])
        ax_obj.plot(women[x], women[deg[sp]], c=cb_dark_blue, label='Women', linewidth=3)
        ax_obj.plot(women[x], 100-women[deg[sp]], c=cb_orange, label='Men', linewidth=3)
        ax_obj.spines["right"].set_visible(False)    
        ax_obj.spines["left"].set_visible(False)
        ax_obj.spines["top"].set_visible(False)    
        ax_obj.spines["bottom"].set_visible(False)
        ax_obj.set_xlim(1968, 2011)
        ax_obj.set_ylim(0,100)
        ax_obj.set_title(deg[sp])
        ax_obj.tick_params(bottom="off", top="off", left="off", right="off")
    
        if sp == 0:
            ax_obj.text(2005, 87, 'Men')
            ax_obj.text(2002, 8, 'Women')
        elif sp == len_deg-1:
            ax_obj.text(2005, 62, 'Men')
            ax_obj.text(2001, 35, 'Women')

for i in range (0,3):
    diagramVertic(fig,6,3,i+1,'Year',women_degrees,cats[i])
    
plt.show()
3 Likes
#15

You can also try these two nested loops. The text is missing, I’m still working on that.

fig = plt.figure(figsize=(18,20))
for i in range(3):
    for j in range(len(cats[i])): #ragged column
        cat = cats[i][j]
        ax = fig.add_subplot(6, 3, 3*j+i+1)
        ax.set_title(cat)
        ax.plot(women_degrees['Year'], women_degrees[cat], c=cb_dark_blue, label='Women', linewidth=3)
        ax.plot(women_degrees['Year'], 100-women_degrees[cat], c=cb_orange, label='Men', linewidth=3)
        ax.spines["right"].set_visible(False)
        ax.spines["left"].set_visible(False)
        ax.spines["top"].set_visible(False)
        ax.spines["bottom"].set_visible(False)
        ax.set_xlim(1968, 2011)
        ax.set_ylim(0,100)
        ax.tick_params(bottom=False, top=False, left=False, right=False)
            
plt.show()
3 Likes