Slopegraphs in Python

(NOTE: You can keep up with progress best at github, but can always search on “slopegraph” here or just hit the tag page: “slopegraph” regularly)

I’ve been a bit obsessed with slopegraphs (a.k.a “Tufte table-chart”) of late and very dissatisfied with the lack of tools to make this particular visualization tool more prevalent. While my ultimate goal is to have a user-friendly modern web app or platform app that’s as easy as a “drag & drop” of a CSV file, this first foray will require a bit (not much, really!) of elbow grease to be used.

For those who want to get right to the code, head on over to github and have a look (I’ll post all updates there). Setup, sample & source are also below.

First, you’ll need a modern Python install. I did all the development on Mac OS Mountain Lion (beta) with the stock Python 2.7 build. You’ll also need the Cairo 2D graphics library which built and installed perfectly from source, even on ML, so it should work fine for you. If you want something besides PDF rendering, you may need additional libraries, but PDF is decent for hi-res embedding, converting to jpg/png (see below) and tweaking in programs like Illustrator.

If you search for “Gender Comparisons” in the comments on this post at Tufte’s blog, you’ll see what I was trying to reproduce in this bit of skeleton code (below). By modifying the CSV file you’re using [line 21] and then which fields are relevant [lines 45-47] you should be able to make your own basic slopegraphs without much trouble.

If you catch any glitches, add some tweak or have a slopegraph “wish list”, let me know here, twitter (@hrbrmstr) or over at github.

```
# slopegraph.py
```
```
#
```
```
# Author: Bob Rudis (@hrbrmstr)
```
```
#
```

# Basic Python skeleton to do simple two value slopegraphs

# with output to PDF (most useful form for me...Cairo has tons of options)

```
#
```

# Find out more about & download Cairo here:

```
# http://cairographics.org/
```
```
#
```

# 2012-05-28 - 0.5 - Initial github release. Still needs some polish

```
#
```
```
 
```
```
import csv
```
```
import cairo
```
```
 
```

# original data source: http://www.calvin.edu/~stob/data/television.csv

```
 
```
```
# get a CSV file to work with 
```
```
 
```

slopeReader = csv.reader(open('television.csv', 'rb'), delimiter=',', quotechar='"')

```
 
```
```
starts = {} # starting "points"/
```
```
ends = {} # ending "points"
```
```
 
```

# Need to refactor label max width into font calculations

# as there's no guarantee the longest (character-wise)

```
# label is the widest one
```
```
 
```
```
startLabelMaxLen = 0
```
```
endLabelMaxLen = 0
```
```
 
```

# build a base pair array for the final plotting

# wastes memory, but simplifies plotting

```
 
```
```
pairs = []
```
```
 
```
```
for row in slopeReader:
```
```
 
```

	# add chosen values (need start/end for each CSV row)

	# to the final plotting array. Try this sample with

	# row[1] (average life span) instead of row[5] to see some

```
	# of the scaling in action
```
```
 
```
```
	lab = row[0] # label
```
```
	beg = row[5] # male life span
```
```
	end = row[4] # female life span
```
```
 
```

	pairs.append( (float(beg), float(end)) )

```
 
```

	# combine labels of common values into one string

	# also (as noted previously, inappropriately) find the

```
	# longest one
```
```
 
```
```
	if beg in starts:
```

		starts[beg] = starts[beg] + "; " + lab

```
	else:
```
```
		starts[beg] = lab
```
```
 
```

	if ((len(starts[beg]) + len(beg)) > startLabelMaxLen):

		startLabelMaxLen = len(starts[beg]) + len(beg)

```
		s1 = starts[beg]
```
```
 
```
```
 
```
```
	if end in ends:
```
```
		ends[end] = ends[end] + "; " + lab
```
```
	else:
```
```
		ends[end] = lab
```
```
 
```

	if ((len(ends[end]) + len(end)) > endLabelMaxLen):

		endLabelMaxLen = len(ends[end]) + len(end)

```
		e1 = ends[end]
```
```
 
```

# sort all the values (in the event the CSV wasn't) so

# we can determine the smallest increment we need to use

# when stacking the labels and plotting points

```
 
```

startSorted = [(k, starts[k]) for k in sorted(starts)]

endSorted = [(k, ends[k]) for k in sorted(ends)]

```
 
```
```
startKeys = sorted(starts.keys())
```
```
delta = max(startSorted)
```
```
for i in range(len(startKeys)):
```
```
	if (i+1 <= len(startKeys)-1):
```

		currDelta = float(startKeys[i+1]) - float(startKeys[i])

```
		if (currDelta < delta):
```
```
			delta = currDelta
```
```
 
```
```
endKeys = sorted(ends.keys())
```
```
for i in range(len(endKeys)):
```
```
	if (i+1 <= len(endKeys)-1):
```

		currDelta = float(endKeys[i+1]) - float(endKeys[i])

```
		if (currDelta < delta):
```
```
			delta = currDelta
```
```
 
```

# we also need to find the absolute min & max values

```
# so we know how to scale the plots
```
```
 
```
```
lowest = min(startKeys)
```

if (min(endKeys) < lowest) : lowest = min(endKeys)

```
 
```
```
highest = max(startKeys)
```

if (max(endKeys) > highest) : highest = max(endKeys)

```
 
```

# just making sure everything's a number

# probably should move some of this to the csv reader section

```
 
```
```
delta = float(delta)
```
```
lowest = float(lowest)
```
```
highest = float(highest)
```

startLabelMaxLen = float(startLabelMaxLen)

```
endLabelMaxLen = float(endLabelMaxLen)
```
```
 
```

# setup line width and font-size for the Cairo

# you can change these and the constants should

```
# scale the plots accordingly
```
```
 
```
```
FONT_SIZE = 9
```
```
LINE_WIDTH = 0.5
```
```
 
```

# there has to be a better way to get a base "surface"

# to do font calculations besides this. we're just making

# this Cairo surface to we know the max pixel width

# (font extents) of the labels in order to scale the graph

# accurately (since width/height are based, in part, on it)

```
 
```
```
filename = 'slopegraph.pdf'
```

surface = cairo.PDFSurface (filename, 8.5*72, 11*72)

```
cr = cairo.Context (surface)
```
```
cr.save()
```

cr.select_font_face("Sans", cairo.FONT_SLANT_NORMAL, cairo.FONT_WEIGHT_NORMAL)

```
cr.set_font_size(FONT_SIZE)
```
```
cr.set_line_width(LINE_WIDTH)
```

xbearing, ybearing, sWidth, sHeight, xadvance, yadvance = (cr.text_extents(s1))

xbearing, ybearing, eWidth, eHeight, xadvance, yadvance = (cr.text_extents(e1))

xbearing, ybearing, spaceWidth, spaceHeight, xadvance, yadvance = (cr.text_extents(" "))

```
cr.restore()
```
```
cr.show_page()
```
```
surface.finish()
```
```
 
```

# setup some more constants for plotting

# all of these are malleable and should cascade nicely

```
 
```
```
X_MARGIN = 10
```
```
Y_MARGIN = 10
```
```
SLOPEGRAPH_CANVAS_SIZE = 200
```
```
spaceWidth = 5
```
```
LINE_HEIGHT = 15
```
```
PLOT_LINE_WIDTH = 0.5
```
```
 
```

width = (X_MARGIN * 2) + sWidth + spaceWidth + SLOPEGRAPH_CANVAS_SIZE + spaceWidth + eWidth

height = (Y_MARGIN * 2) + (((highest - lowest + 1) / delta) * LINE_HEIGHT)

```
 
```
```
# create the real Cairo surface/canvas
```
```
 
```
```
filename = 'slopegraph.pdf'
```

surface = cairo.PDFSurface (filename, width, height)

```
cr = cairo.Context (surface)
```
```
 
```
```
cr.save()
```
```
 
```

cr.select_font_face("Sans", cairo.FONT_SLANT_NORMAL, cairo.FONT_WEIGHT_NORMAL)

```
cr.set_font_size(FONT_SIZE)
```
```
 
```
```
cr.set_line_width(LINE_WIDTH)
```

cr.set_source_rgba (0, 0, 0) # need to make this a constant

```
 
```

# draw start labels at the correct positions

# cheating a bit here as the code doesn't (yet) line up

```
# the actual data values
```
```
 
```
```
for k in sorted(startKeys):
```
```
 
```
```
	label = starts[k]
```

	xbearing, ybearing, lWidth, lHeight, xadvance, yadvance = (cr.text_extents(label))

```
 
```
```
	val = float(k)
```
```
 
```

	cr.move_to(X_MARGIN + (sWidth - lWidth), Y_MARGIN + (highest - val) * LINE_HEIGHT * (1/delta) + LINE_HEIGHT/2)

```
	cr.show_text(label + " " + k)
```
```
	cr.stroke()
```
```
 
```

# draw end labels at the correct positions

# cheating a bit here as the code doesn't (yet) line up

```
# the actual data values
```
```
 
```
```
for k in sorted(endKeys):
```
```
 
```
```
	label = ends[k]
```

	xbearing, ybearing, lWidth, lHeight, xadvance, yadvance = (cr.text_extents(label))

```
 
```
```
	val = float(k)
```
```
 
```

	cr.move_to(width - X_MARGIN - eWidth - (4*spaceWidth), Y_MARGIN + (highest - val) * LINE_HEIGHT * (1/delta) + LINE_HEIGHT/2)

```
	cr.show_text(k + " " + label)
```
```
	cr.stroke()
```
```
 
```
```
# do the actual plotting
```
```
 
```
```
cr.set_line_width(PLOT_LINE_WIDTH)
```

cr.set_source_rgba (0.75, 0.75, 0.75) # need to make this a constant

```
 
```
```
for s1,e1 in pairs:
```

	cr.move_to(X_MARGIN + sWidth + spaceWidth + 20, Y_MARGIN + (highest - s1) * LINE_HEIGHT * (1/delta) + LINE_HEIGHT/2)

	cr.line_to(width - X_MARGIN - eWidth - spaceWidth - 20, Y_MARGIN + (highest - e1) * LINE_HEIGHT * (1/delta) + LINE_HEIGHT/2)

```
	cr.stroke()
```
```
 
```
```
cr.restore()
```
```
cr.show_page()
```
```
surface.finish()
```

2 Comments → Slopegraphs in Python

Pascal Schetelat 2013-11-30 at 18:48

Using pandas and matplotlib, you can dramatically shrink your code :
https://gist.github.com/pascal-schetelat/7726054

Reply ↓
Pingback: Slopegraph Workbench/Workshop in D3 — rud.is

rud.is

"In God we trust. All others must bring data"

Slopegraphs in Python

Like this:

Related

2 Comments → Slopegraphs in Python

Leave a Reply Cancel reply

Share this:

Like this:

Related

2 Comments → Slopegraphs in Python

Leave a Reply Cancel reply