def plot_model(data):
N = 5
#初始化
theta = radar_factory(N, frame='polygon')
fig = plt.figure(figsize=(8, 6))
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
#['L', 'R', 'F', 'M', 'C']('ZL', 'ZC', 'ZM', 'ZF', 'ZR')
spoke_labels = ('ZL', 'ZC', 'ZM', 'ZF', 'ZR')
ax = fig.add_subplot(111, projection='radar')
plt.rgrids([0.1, 0.5, 1, 1.5, 2.0, 2.5])
ax.set_title(u'客户群分析',
weight='bold',
size='medium',
position=(0.5, 1.1),
horizontalalignment='center',
verticalalignment='center')
for d, color in zip(data, colors):
ax.plot(theta, d, color=color)
ax.fill(theta, d, facecolor=color, alpha=0.25)
ax.set_varlabels(spoke_labels)
labels = ('1', '2', '3', '4', '5')
legend = plt.legend(labels, loc=(0.9, .95), labelspacing=0.1)
plt.setp(legend.get_texts(), fontsize='small')
plt.show()
def renderRadarFigure(dFrame, teamName, taskNames, outFileName):
#the index of the current team in the dataFrame is needed to access the scores quickly
teamIndex = list(dFrame.index).index(teamName)
scores = [dFrame[curTask][teamIndex] for curTask in taskNames]
font = {'family': 'normal', 'weight': 'normal', 'size': 25}
rc('font', **font)
theta = radar_factory(len(taskNames), frame='polygon')
fig = plt.figure(figsize=(9, 9))
plt.axes(projection='radar')
plt.rgrids([0.1, 1, 2], ['0', '1', '2'])
plt.plot(theta, scores, color='r', linewidth=2)
plt.ylim(-1.5, 3)
plt.gca().set_varlabels(taskNames)
plt.gca().fill(theta, scores, facecolor='r', alpha=0.25)
plt.tight_layout(pad=0.4, w_pad=0.8, h_pad=1.0)
plt.savefig(outFileName)
plt.close()
return averageStats
r1 = requests.get(
"http://www.kelanyll.com/fpl-wrapper/player?name=Reece%20James")
r2 = requests.get(
"http://www.kelanyll.com/fpl-wrapper/player?name=Trent%20Alexander-Arnold")
jamesStats = r1.json()
trentStats = r2.json()
stats = ['Influence', 'Creativity', 'Threat']
lowerStats = list(map(lambda x: x.lower(), stats))
jamesAverageStats = getAverageStats(lowerStats, jamesStats['history'])
trentAverageStats = getAverageStats(lowerStats, trentStats['history'])
theta = radar_chart.radar_factory(3)
fig, ax = plt.subplots(figsize=(5, 6), subplot_kw=dict(projection='radar'))
ax.set_varlabels(stats, position=[0, 0.1])
ax.set_rlabel_position(60)
ax.set_title("Reece James vs Trent Alexander-Arnold ICT",
weight='bold',
size='large',
position=(0.5, 1.15),
horizontalalignment='center')
ax.plot(theta, jamesAverageStats, label="Reece James", color="blue")
ax.fill(theta, jamesAverageStats, facecolor="blue", alpha=0.25)
ax.plot(theta, trentAverageStats, label="Trent Alexander-Arnold", color="red")
ax.fill(theta, trentAverageStats, facecolor="red", alpha=0.25)
ax.legend(loc=(0.7, 1), fontsize="x-small")
plt.show()
def main():
# ID the top ten by lowest average MAPE
top10 = df.loc[df.filter(regex="mape*").mean(
axis=1).sort_values()[:10].index]
data = top10[list(R32.param_names)].values
N = 6
#theta = radar_factory(N, frame='polygon')
theta = radar_factory(N, frame='circle')
spoke_labels = [
"$\mathregular{\sigma_C}$",
"$\mathregular{\sigma_F}$",
"$\mathregular{\sigma_H}$",
"$\mathregular{\epsilon_C}$",
"$\mathregular{\epsilon_F}$",
"$\mathregular{\epsilon_H}$",
]
fig, ax = plt.subplots(figsize=(9, 9), subplot_kw=dict(projection='radar'))
colors = seaborn.color_palette('bright', n_colors=len(data))
# Plot the four cases from the example data on separate axes
ax.set_rgrids([0.2, 0.4, 0.6, 0.8, 1.0])
for d, color in zip(data, colors):
ax.plot(theta,
d,
'-o',
markersize=12,
color=color,
linewidth=3,
zorder=-5,
alpha=0.65,
markeredgewidth=4)
ax.fill(theta, d, facecolor=color, alpha=0.11, zorder=-5)
ax.set_theta_direction(-1)
ax.set_theta_offset(np.pi / 2)
ax.set_ylim(0, 1.0)
ax.set_yticklabels([0.2, 0.4, 0.6, 0.8, 1.0], fontsize=22)
for label in ax.get_yticklabels():
label.set_bbox(
dict(facecolor='white',
edgecolor='none',
alpha=0.25,
boxstyle=mpatch.BoxStyle("round4")))
ax.set_varlabels(spoke_labels, fontsize=50)
ax.set_rlabel_position(180 / N)
for label in ax.get_xticklabels():
x, y = label.get_position()
label.set_position((x, y - 0.1))
ax.yaxis.grid(linewidth=3, alpha=0.75)
ax.spines['polar'].set_linewidth(4)
fig.savefig("pdfs/fig_r32-top10-radar.pdf")
# Plot all
data = df[list(R32.param_names)].values
N = 6
#theta = radar_factory(N, frame='polygon')
theta = radar_factory(N, frame='circle')
fig, ax = plt.subplots(figsize=(9, 9), subplot_kw=dict(projection='radar'))
colors = seaborn.color_palette('bright', n_colors=len(data))
# Plot the four cases from the example data on separate axes
ax.set_rgrids([0.2, 0.4, 0.6, 0.8, 1.0])
for d, color in zip(data, colors):
ax.plot(theta,
d,
'-o',
markersize=10,
color=color,
linewidth=3,
zorder=-5,
alpha=0.65,
markeredgewidth=2)
ax.fill(theta, d, facecolor=color, alpha=0.06)
ax.set_theta_direction(-1)
ax.set_theta_offset(np.pi / 2)
ax.set_ylim(0, 1.0)
ax.set_yticklabels([0.2, 0.4, 0.6, 0.8, 1.0], fontsize=26)
for label in ax.get_yticklabels():
label.set_bbox(
dict(facecolor='white',
edgecolor='none',
alpha=0.25,
boxstyle=mpatch.BoxStyle("round4")))
ax.set_varlabels(spoke_labels, fontsize=50)
ax.set_rlabel_position(180 / N)
for label in ax.get_xticklabels():
x, y = label.get_position()
label.set_position((x, y - 0.1))
ax.yaxis.grid(linewidth=3, alpha=0.65)
ax.spines['polar'].set_linewidth(4)
fig.savefig("pdfs/fig_r32-all-radar.pdf")
[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, axs = 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(axs.flat, data):
ax.set_rgrids([0.2, 0.4, 0.6, 0.8])
ax.set_title(title,