#Loopy arrow Patch
#Loopy arrow full
#Loopy arrow code

Basically, the value of a schematic component calls out its most important characteristic.Ĭomponent names are usually a combination of one or two letters and a number. Crystals might list their oscillating frequency as their value. For other components, like integrated circuits, the value may just be the name of the chip. For schematic components like resistors, capacitors, and inductors the value tells us how many ohms, farads, or henries they have. Values help define exactly what a component is. The component symbols tell half the story, but each symbol should be paired with both a name and value to complete it. One of the biggest keys to being schematic-literate is being able to recognize which components are which. In addition to the symbol, each component on a schematic should have a unique name and value, which further helps to identify it. In general, symbols should share a fair amount in common with the real-life components they model. No doubt, there are many circuit symbols left off this list, but those above should have you 90% literate in schematic reading. To test it: plt.plot(, )Ĭircarrowdraw(1.0, 1.0, radius=0.1, aspect=0.3, direction=90, closingangle=-345, rotate_head = 0.003)Ĭircarrowdraw(0.0, 1.0, radius=0.1, aspect=1, direction=-90, closingangle=-345, rotate_head = 0.0)Ĭircarrowdraw(0.0, 0.0, radius=0.1, aspect=3.0, direction=90, closingangle=-345, rotate_head = 0.01)Ĭircarrowdraw(1.0, 0.0, radius=0.1, aspect=0.The PTC symbol is actually the generic symbol for a thermistor, a temperature-dependent resistor (notice the international resistor symbol in there?). rotate_head is used to rotate the arrow headīy increasing the y value of the arrow's tail coordinate.Īrc_arrow_head = patches.FancyArrowPatch((x, y + rotate_head),Īrrowstyle='Simple,head_width=10,head_length=10,tail_width=0.01', def circarrowdraw(x0, y0, radius=1, aspect=1, direction=270, closingangle=-330, rotate_head = 0.0, color='b', *args):įit the current figure.

#Loopy arrow code

Below gives the code with the FancyArrowPatch arrow head.

#Loopy arrow full

This gives a full arrow head, which might be more suitable. In Aguy's answer an arrow head is drawn line by line, but instead a FancyArrowPatch can be used. L * np.cos((headangle - arrowheadopenangle) * np.pi / 180)]Īspect * l * np.sin((headangle + arrowheadopenangle) * np.pi / 180),Īspect * l * np.sin((headangle - arrowheadopenangle) * np.pi / 180)]Ĭircarrowdraw(6, 36, radius=0.4, aspect=asp, answer is useful if you want a smooth arc instead of a complete circle. L * np.cos((headangle + arrowheadopenangle) * np.pi / 180), Headangle = (direction + closingangle + (90 - headcorrectionangle) * Y = [yc + aspect * radius * np.sin((ang + 180 + direction) * np.pi / 180) X = Yc = y0 + aspect * radius * np.sin(direction * np.pi / 180) Xc = x0 + radius * np.cos(direction * np.pi / 180) aspect is important to make the aspect of the arrow In degrees with positive being counterclockwise and negative beingĬlockwise. closingangle indicates how much of the circle is drawn x0 and y0 are the anchor points.ĭirection gives the angle of the circle center relative to the anchor My suggestion uses just the plot command import matplotlib.pyplot as pltĭef circarrowdraw(x0, y0, radius=1, aspect=1, direction=270, closingangle=-330,Īrrowheadrelativesize=0.3, arrowheadopenangle=30, *args):Ĭircular arrow drawing. ShrinkA=10, # creates a gap between the start point and end point of the arrowĬonnectionstyle='angle,angleB=-90,angleA=180,rad=10'))Īx.annotate('', (x_center, y_center - radius), (x_center + radius, y_center),Ĭonnectionstyle='angle,angleB=180,angleA=-90,rad=10'))Īx.annotate('', (x_center - radius, y_center), (x_center, y_center - radius),Īx.annotate('', (x_center, y_center + radius), (x_center - radius, y_center),

I find no way to make a loop using plt.annotate only once, but using it four times works : import matplotlib.pyplot as pltĪx.annotate('', (x_center + radius, y_center), (x_center, y_center + radius), # Make sure you keep the axes scaled or else arrow will distort Theta1=0,theta2=theta2_,capstyle='round',linestyle='-',lw=10,color=color_)ĮndX=centX+(radius/2)*np.cos(rad(theta2_+angle_)) #Do trig to determine end positionĮndY=centY+(radius/2)*np.sin(rad(theta2_+angle_))Īx.add_patch( #Create triangle as arrow headĪx.set_xlim() and ax.set_ylim() # from _future_ import division #Uncomment for python2.7įrom matplotlib.patches import Arc, RegularPolygonĭef drawCirc(ax,radius,centX,centY,angle_,theta2_,color_='black'):Īrc = Arc(,radius,radius,angle=angle_,

#Loopy arrow Patch

You can play around with the patch that creates the arrow head to make a different shape though I suspect that this triangle will be the easiest one. Change the variables in the variables section and things should all rotate and scale together. It seems the easiest way to create an easily modifiable looping arrow is to use patches.