In [1]:
%matplotlib inline
%config InlineBackend.figure_format = 'svg'
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.spines import Spine
from matplotlib.projections.polar import PolarAxes
from matplotlib.projections import register_projection
def radar_factory(num_vars, frame='circle'):
"""Create a radar chart with `num_vars` axes.
This function creates a RadarAxes projection and registers it.
Parameters
----------
num_vars : int
Number of variables for radar chart.
frame : {'circle' | 'polygon'}
Shape of frame surrounding axes.
"""
# calculate evenly-spaced axis angles
theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)
# rotate theta such that the first axis is at the top
theta += np.pi/2
def draw_poly_patch(self):
verts = unit_poly_verts(theta)
return plt.Polygon(verts, closed=True, edgecolor='k')
def draw_circle_patch(self):
# unit circle centered on (0.5, 0.5)
return plt.Circle((0.5, 0.5), 0.5)
patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch}
if frame not in patch_dict:
raise ValueError('unknown value for `frame`: %s' % frame)
class RadarAxes(PolarAxes):
name = 'radar'
# use 1 line segment to connect specified points
RESOLUTION = 1
# define draw_frame method
draw_patch = patch_dict[frame]
def fill(self, *args, **kwargs):
"""Override fill so that line is closed by default"""
closed = kwargs.pop('closed', True)
return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)
def plot(self, *args, **kwargs):
"""Override plot so that line is closed by default"""
lines = super(RadarAxes, self).plot(*args, **kwargs)
for line in lines:
self._close_line(line)
def _close_line(self, line):
x, y = line.get_data()
# FIXME: markers at x[0], y[0] get doubled-up
if x[0] != x[-1]:
x = np.concatenate((x, [x[0]]))
y = np.concatenate((y, [y[0]]))
line.set_data(x, y)
def set_varlabels(self, labels):
self.set_thetagrids(np.degrees(theta), labels)
def _gen_axes_patch(self):
return self.draw_patch()
def _gen_axes_spines(self):
if frame == 'circle':
return PolarAxes._gen_axes_spines(self)
# The following is a hack to get the spines (i.e. the axes frame)
# to draw correctly for a polygon frame.
# spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.
spine_type = 'circle'
verts = unit_poly_verts(theta)
# close off polygon by repeating first vertex
verts.append(verts[0])
path = Path(verts)
spine = Spine(self, spine_type, path)
spine.set_transform(self.transAxes)
return {'polar': spine}
register_projection(RadarAxes)
return theta
def unit_poly_verts(theta):
"""Return vertices of polygon for subplot axes.
This polygon is circumscribed by a unit circle centered at (0.5, 0.5)
"""
x0, y0, r = [0.5] * 3
verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
return verts
def data():
data = [
['Programming Languages',
['VHDL', 'Swift', 'HTML/CSS', 'Bash', 'C/C++', 'Python', 'Tk/Tcl'],
[0.88, 0.03, 0.01, 0.03, 0.03, 0.00, 0.06]
],
['Platforms',
['windows', 'Android', 'iOS', 'macOS', 'Linux'],
[0.88, 0.02, 0.02, 0.02, 0.00]
],
['Technologies & Tools',
['GIT', 'SVN', 'Jupyter', 'Altera Quartus', 'Altium Designer'],
[0.02, 0.00, 0.03, 0.37, 0.56]
],
['Aptitude',
['Team Work', 'Responsibility', 'Team Management', 'Communication'],
[0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]
],
['Language',
['German', 'English', 'Français', 'Sverige'],
[0.02, 0.00, 0.18, 0.45]
]
]
return data
if __name__ == '__main__':
N = 9
theta = radar_factory(N, frame='polygon')
data = data()
spoke_labels = []
spoke_labels.append(data[0][1])
spoke_labels.append(data[1][1])
spoke_labels.append(data[2][1])
spoke_labels.append(data[3][1])
spoke_labels.append(data[4][1])
fig, axes = plt.subplots(figsize=(9, 9), nrows=1, ncols=1,
subplot_kw=dict(projection='radar'))
fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)
colors = ['b', 'r', 'g', 'm', 'y']
# Plot the four cases from the example data on separate axes
for ax, (title, case_data) in zip(axes.flatten(), data):
ax.set_rgrids([0.2, 0.4, 0.6, 0.8])
ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
horizontalalignment='center', verticalalignment='center')
for d, color in zip(case_data, colors):
ax.plot(theta, d, color=color)
ax.fill(theta, d, facecolor=color, alpha=0.25)
ax.set_varlabels(spoke_labels)
# add legend relative to top-left plot
ax = axes[0, 0]
labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')
legend = ax.legend(labels, loc=(0.9, .95),
labelspacing=0.1, fontsize='small')
fig.text(0.5, 0.965, 'Skills',
horizontalalignment='center', color='black', weight='bold',
size='large')
plt.show()
savefig('cv_zas_skills.pdf')
savefig('cv_zas_skills.png')
In [27]:
%matplotlib inline
%config InlineBackend.figure_format = 'svg'
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.spines import Spine
from matplotlib.projections.polar import PolarAxes
from matplotlib.projections import register_projection
import pylab
def _radar_factory(num_vars):
theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars)
theta += np.pi/2
def unit_poly_verts(theta):
x0, y0, r = [0.5] * 3
verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
return verts
class RadarAxes(PolarAxes):
name = 'radar'
RESOLUTION = 1
def fill(self, *args, **kwargs):
closed = kwargs.pop('closed', True)
return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)
def plot(self, *args, **kwargs):
lines = super(RadarAxes, self).plot(*args, **kwargs)
for line in lines:
self._close_line(line)
def _close_line(self, line):
x, y = line.get_data()
# FIXME: markers at x[0], y[0] get doubled-up
if x[0] != x[-1]:
x = np.concatenate((x, [x[0]]))
y = np.concatenate((y, [y[0]]))
line.set_data(x, y)
def set_varlabels(self, labels):
#self.set_thetagrids(theta * 180/np.pi, labels, frac=1.1)
self.set_thetagrids(theta * 180/np.pi, labels)
def _gen_axes_patch(self):
verts = unit_poly_verts(theta)
return plt.Polygon(verts, closed=True, edgecolor='k')
def _gen_axes_spines(self):
spine_type = 'circle'
verts = unit_poly_verts(theta)
verts.append(verts[0])
path = Path(verts)
spine = Spine(self, spine_type, path)
spine.set_transform(self.transAxes)
return {'polar': spine}
register_projection(RadarAxes)
return theta
def radar_graph(title = None, color = 'b', labels = [], values = [], filename=None):
N = len(labels)
theta = _radar_factory(N)
#plt.xkcd()
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, projection='radar')
# Set max min boundaries
ax.set_ylim(bottom=0) # always start with 0 in center
# Set Grid Style
ax.set_rgrids([0.2, 0.4, 0.6, 0.8], alpha=0.0) # no grid labels (alpha 0.0)
#ax.grid(False) # Remove Grid
ax.grid(color='w', linestyle='-', linewidth=0.01, alpha=0.0) # ax.grid(color='r', linestyle='-', linewidth=2)
# Set Title style
ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
horizontalalignment='center', verticalalignment='center')
ax.plot(theta, values, color=color)
ax.fill(theta, values, facecolor=color, alpha=0.25)
ax.set_varlabels(labels)
# Legend Settings
#legend = ax.legend(labels, loc=(0.9, .95),labelspacing=0.1, fontsize='small')
# Diagram Title
#fig.text(0.5, 0.965, title,
# horizontalalignment='center', color='black', weight='bold',
# size='large')
# Resolves Title trim issue
plt.tight_layout()
# Change Fontsize
for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +
ax.get_xticklabels() + ax.get_yticklabels()):
item.set_fontsize(16)
# Save Images file
if not(filename == None):
plt.savefig("c:/Users/tschi/workspace/Dropbox/Programming/ipython/00_Mine/"+filename, dpi=600)
#pylab.savefig(filename)
plt.close(fig)
# Show Diagram
plt.show()
In [28]:
datas = [
['Programming Languages', 'b',
['VHDL', 'Swift', 'HTML/CSS', 'Shell', 'C/C++', 'Python', 'Tk/Tcl'],
[0.95, 0.5, 0.6, 0.6, 0.8, 0.9, 0.8]
],
['Platforms', 'g',
['Windows', 'Android', 'iOS', 'macOS', 'Linux'],
[0.95, 0.2, 0.7, 0.85, 0.9]
],
['Technologies & Tools', 'y',
['GIT', 'SVN', 'Jupyter', 'Altera Quartus', 'Altium Designer', 'Network'],
[0.9, 0.85, 0.8, 0.8, 0.7, 0.8]
],
['Aptitude', 'm',
['Team Work', 'Responsibility', 'Team Management', 'Communication', 'Problem Solving'],
[0.85, 0.95, 0.8, 0.7, 0.85]
],
['Language', 'r',
['German', 'English', 'Français', 'Sverige', 'Else'],
[0.95, 0.85, 0.7, 0.4, 0.2]
],
['Skills', 'c',
['Teaching', 'SW Programming', 'HW Programming', 'Management', 'Electronic Development', 'Agile / Scrumm'],
[0.8, 0.7, 0.9, 0.6, 0.7, 0.9]
],
['Interests', 'chocolate',
['Ski Touring', 'Yoga', 'Climbing', 'Mountainbike', 'Photography', 'Books'],
[0.95, 0.8, 0.5, 0.7, 0.6, 0.8]
],
['Katja', 'hotpink',
['Lieb', 'Hübsch', 'Schneehasi', 'Kommunikativ', 'Mein Schatzi'],
[0.99, 0.99, 0.99, 0.6, 0.9999999]
]
]
for data in datas:
radar_graph(title=data[0], color=data[1], labels=data[2], values=data[3], filename="cv_zas_"+data[0]+".png")
radar_graph(title=data[0], color=data[1], labels=data[2], values=data[3])
In [26]:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.spines import Spine
from matplotlib.projections.polar import PolarAxes
from matplotlib.projections import register_projection
def radar_factory(num_vars, frame='circle'):
"""Create a radar chart with `num_vars` axes.
This function creates a RadarAxes projection and registers it.
Parameters
----------
num_vars : int
Number of variables for radar chart.
frame : {'circle' | 'polygon'}
Shape of frame surrounding axes.
"""
# calculate evenly-spaced axis angles
theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)
def draw_poly_patch(self):
# rotate theta such that the first axis is at the top
verts = unit_poly_verts(theta + np.pi / 2)
return plt.Polygon(verts, closed=True, edgecolor='k')
def draw_circle_patch(self):
# unit circle centered on (0.5, 0.5)
return plt.Circle((0.5, 0.5), 0.5)
patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch}
if frame not in patch_dict:
raise ValueError('unknown value for `frame`: %s' % frame)
class RadarAxes(PolarAxes):
name = 'radar'
# use 1 line segment to connect specified points
RESOLUTION = 1
# define draw_frame method
draw_patch = patch_dict[frame]
def __init__(self, *args, **kwargs):
super(RadarAxes, self).__init__(*args, **kwargs)
# rotate plot such that the first axis is at the top
self.set_theta_zero_location('N')
def fill(self, *args, **kwargs):
"""Override fill so that line is closed by default"""
closed = kwargs.pop('closed', True)
return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)
def plot(self, *args, **kwargs):
"""Override plot so that line is closed by default"""
lines = super(RadarAxes, self).plot(*args, **kwargs)
for line in lines:
self._close_line(line)
def _close_line(self, line):
x, y = line.get_data()
# FIXME: markers at x[0], y[0] get doubled-up
if x[0] != x[-1]:
x = np.concatenate((x, [x[0]]))
y = np.concatenate((y, [y[0]]))
line.set_data(x, y)
def set_varlabels(self, labels):
self.set_thetagrids(np.degrees(theta), labels)
def _gen_axes_patch(self):
return self.draw_patch()
def _gen_axes_spines(self):
if frame == 'circle':
return PolarAxes._gen_axes_spines(self)
# The following is a hack to get the spines (i.e. the axes frame)
# to draw correctly for a polygon frame.
# spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.
spine_type = 'circle'
verts = unit_poly_verts(theta + np.pi / 2)
# close off polygon by repeating first vertex
verts.append(verts[0])
path = Path(verts)
spine = Spine(self, spine_type, path)
spine.set_transform(self.transAxes)
return {'polar': spine}
register_projection(RadarAxes)
return theta
def unit_poly_verts(theta):
"""Return vertices of polygon for subplot axes.
This polygon is circumscribed by a unit circle centered at (0.5, 0.5)
"""
x0, y0, r = [0.5] * 3
verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
return verts
def example_data():
# The following data is from the Denver Aerosol Sources and Health study.
# See doi:10.1016/j.atmosenv.2008.12.017
#
# The data are pollution source profile estimates for five modeled
# pollution sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical
# species. The radar charts are experimented with here to see if we can
# nicely visualize how the modeled source profiles change across four
# scenarios:
# 1) No gas-phase species present, just seven particulate counts on
# Sulfate
# Nitrate
# Elemental Carbon (EC)
# Organic Carbon fraction 1 (OC)
# Organic Carbon fraction 2 (OC2)
# Organic Carbon fraction 3 (OC3)
# Pyrolized Organic Carbon (OP)
# 2)Inclusion of gas-phase specie carbon monoxide (CO)
# 3)Inclusion of gas-phase specie ozone (O3).
# 4)Inclusion of both gas-phase species is present...
data = [
['Programming Languages', 'b',
['VHDL', 'Swift', 'HTML/CSS', 'Shell', 'C/C++', 'Python', 'Tk/Tcl'],
('Programming Languages', [
[0.95, 0.4, 0.5, 0.6, 0.6, 0.9, 0.8]])
]
]
data1 = [
['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'],
('Basecase', [
[0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],
[0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],
[0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],
[0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],
[0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]]),
('With CO', [
[0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00],
[0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00],
[0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00],
[0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00],
[0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]]),
('With O3', [
[0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03],
[0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00],
[0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00],
[0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95],
[0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]]),
('CO & O3', [
[0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01],
[0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00],
[0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00],
[0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88],
[0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]])
]
return data
if __name__ == '__main__':
N = 9
theta = radar_factory(N, frame='polygon')
data = example_data()
spoke_labels = data.pop(0)
fig, axes = plt.subplots(figsize=(9, 9), nrows=2, ncols=2,
subplot_kw=dict(projection='radar'))
fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)
colors = ['b', 'r', 'g', 'm', 'y']
# Plot the four cases from the example data on separate axes
for ax, (title, case_data) in zip(axes.flatten(), data):
ax.set_rgrids([0.2, 0.4, 0.6, 0.8])
ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
horizontalalignment='center', verticalalignment='center')
for d, color in zip(case_data, colors):
ax.plot(theta, d, color=color)
ax.fill(theta, d, facecolor=color, alpha=0.25)
ax.set_varlabels(spoke_labels)
# add legend relative to top-left plot
ax = axes[0, 0]
labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')
legend = ax.legend(labels, loc=(0.9, .95),
labelspacing=0.1, fontsize='small')
fig.text(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios',
horizontalalignment='center', color='black', weight='bold',
size='large')
plt.show()
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