Hi all,
I am using Jupyter notebook and I used this code and it works and show the plot:
using PyCall
plt = pyimport("matplotlib.pyplot")
x = range(0;stop=2*pi,length=1000); y = sin.(3*x + 4*cos.(2*x));
plt.plot(x, y, color="red", linewidth=2.0, linestyle="--")
plt.show()
But, when I use this code below it triggers error:
syntax: extra token “matplotlib” after end of expression
using PyCall
plt = pyimport("matplotlib.pyplot")
from matplotlib.patches import Arc
from matplotlib.lines import Line2D
import math
sim_score =[0.993832,0.543218,0.234745 ,0.873513,0.234565,0.789212]
def get_angle_text(angle_plot):
angle = angle_plot.get_label()[:-1] # Excluding the degree symbol
angle = "%0.2f" % float(angle) + u"\u00b0" # Display angle upto 2 decimal places
# Set the label position
x_width = angle_plot.width / 2
y_width = math.sin(math.radians(angle_plot.theta2))
return [x_width, y_width, angle]
def get_angle_plot(line1, offset=1, color=None, origin=[0, 0], len_x_axis=1, len_y_axis=1):
l1xy = line1.get_xydata()
# Angle between line1 and x-axis
slope = (l1xy[1][1] - l1xy[0][1]) / float(l1xy[1][0] - l1xy[0][0])
angle = abs(math.degrees(math.atan(slope))) # Taking only the positive angle
if color is None:
color = line1.get_color() # Uses the color of line 1 if color parameter is not passed.
return Arc(origin, len_x_axis * offset, len_y_axis * offset, 0, 0, angle, color=color,
label=str(angle) + u"\u00b0")
sim_score = [0.993832, 0.543218, 0.234745, 0.873513]
fig = plt.figure()
ax = fig.add_subplot(111)
offset = 0
for i in sim_score:
offset += 2 # you play with this value to draw arc spaced from the previous
a = math.acos(i)
b = a * 180 / math.pi
point = (0, 0)
x, y = point
length = 10
# find the end point
endy = length * math.sin(math.radians(b))
endx = length * math.cos(math.radians(b))
line = Line2D([x, endx], [y, endy], linewidth=1, linestyle="-", color="blue")
angle_plot = get_angle_plot(line, offset)
angle_text = get_angle_text(angle_plot)
ax.add_line(line )
ax.add_patch(angle_plot)
ax.text(*angle_text) # To display the angle value
ax.set_ylim([0, 10])
ax.set_xlim([0, 10])
plt.show()