Awesome
PyFootballPitch
functions to draw a football pitch in various available styles for matplotlib and bokeh
Matplotlib
the drawpitch() function for matplotlib allows you to input your own specified pitch size. So it's easy to adjust the standard 105x68meters pitch.
create a figure and an axis object before invoking <b>ax = drawpitch(ax)</b>
def drawpitch(ax, hspan = [-52.5, 52.5], vspan = [-34, 34],\
linecolor = '#525252', facecolor = '#f0f0f0', arcs = True, \
lw = 1.5, x_offset = [4,4], y_offset = [4,4], style_id = None,
grass_cutting = False):
'''
'''
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Draws a pitch (default horizontal) on an axes object with width 105m and height 68m
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If you are using StatsBomb Data with a 120x80yard pitch, use:
measure = 'SBData'
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If you are using any other pitch size, set measure to yards or metres
for correct pitch markings and
hspan = [left, right] // eg. for SBData this is: hspan = [0, 120]
vspan = [bottom, top] //
to adjust the plot to your needs.
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orientation: 'horizontal' or 'vertical'
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Choose a Style with
style_id = 1...8
you can also set linecolor, lw (linewidth), and facecolor individually.
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default arcs = True; False to not draw the penalty box arcs.
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use x_offset and y_offset to extend the plot further past the pitch
or also to just draw half the pitch
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Bokeh:
for the bokeh function, invoke <b>p = draw_pitch()</b> - the function creates the figure for you.
def draw_pitch(width = 700, height = 500, fill_color = '#B3DE69', fill_alpha = 0.5,
line_color = 'grey', line_alpha = 1,
arcs = True):
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Draws and returns a pitch on a Bokeh figure object with width 105m and height 68m
p = drawpitch()
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If you are using StatsBomb Data with a 120x80yard pitch, use:
measure = 'SB'
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If you are using Opta Data, use:
measure = 'Opta'
-----
If you are using any other pitch size, set measure to yards or metres
for correct pitch markings and
hspan = [left, right] // eg. for SBData this is: hspan = [0, 120]
vspan = [bottom, top] //
to adjust the plot to your needs.
-----
set arcs = False to not draw the penaltybox arcs
'''