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plot_functions.py
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# plot_functions
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.art3d import Line3D
from matplotlib.lines import Line2D
def plot_tank(axes = None):
if axes == None:
fig = plt.figure()
axes = fig.add_subplot(111, projection = '3d')
axes.set_xlim(0, 68.5)
axes.set_ylim(0, 15)
axes.set_zlim(0, 15)
c1 = '.3'
c2 = '.6'
box = {}
box['bottom1'] = Line3D([0, 68.5], [0, 0], [0,0], color = c1, linewidth = 2)
box['bottom2'] = Line3D([0, 0], [0, 15], [0,0], color = c2, linewidth = 2)
box['bottom3'] = Line3D([0, 68.5], [15, 15], [0,0], color = c2, linewidth = 2)
box['bottom4'] = Line3D([68.5, 68.5], [0, 15], [0,0], color = c1, linewidth = 2)
box['side1'] = Line3D([0, 0], [0, 0], [0, 15], color = c1, linewidth = 2)
box['side2'] = Line3D([68.5, 68.5], [0, 0], [0, 15], color = c1, linewidth = 2)
box['side3'] = Line3D([68.5, 68.5], [15, 15], [0, 15], color = c2, linewidth = 2)
box['side4'] = Line3D([0, 0], [15, 15], [0, 15], color = c2, linewidth = 2)
box['top1'] = Line3D([0, 68.5], [0, 0], [15, 15], color = c1, linewidth = 2)
box['top2'] = Line3D([0, 0], [0, 15], [15, 15], color = c1, linewidth = 2)
box['top3'] = Line3D([0, 68.5], [15, 15], [15, 15], color = c1, linewidth = 2)
box['top4'] = Line3D([68.5, 68.5], [0, 15], [15, 15], color = c1, linewidth = 2)
keylist = box.keys()
keylist.sort()
for key in keylist:
axes.add_line(box[key])
axes.view_init(25, -100)
axes.set_axis_bgcolor('w')
return axes
def plot_track3d(data, axes = None):
track = data['track']
if axes == None:
fig = plt.figure()
axes = fig.add_subplot(111, projection = '3d')
axes.set_xlim(0, 68.5)
axes.set_ylim(0, 15)
axes.set_zlim(0, 15)
track = track * 100
track_plot = Line3D(track[:,0], track[:, 1], track[:, 2], color = 'black', linewidth = 2)
axes.add_line(track_plot)
axes.pbaspect = [1, 5, 1]
axes.set_aspect('equal')
return axes
def plot_xdata(data):
fig = plt.figure()
a = {}
if 'track' in data:
a[1] = fig.add_subplot(411)
plt.plot(data['time'], data['track'][:,0] * 100, color = 'black')
a[1].set_ylim(0, 68.5)
a[1].set_xlabel('Time (s)')
a[1].set_ylabel('X Position (cm)')
if 'orientation' in data:
a[2] = fig.add_subplot(412)
plt.plot(data['time'], data['orientation'], color = 'black')
a[2].set_ylim(0, 360)
a[2].set_xlabel('Time (s)')
a[2].set_ylabel('Orientation angle')
if 'flow_rate' in data:
a[3] = fig.add_subplot(413)
plt.plot(data['time'], data['flow_rate'] * 100, color = 'black')
a[3].set_xlabel('Time (s)')
a[3].set_ylabel('Flow Rate (cm/s)')
if 'lateral_line' in data:
a[4] = fig.add_subplot(414)
plt.plot(data['time'], data['lateral_line'], color = 'black')
a[4].set_ylim(0, 1)
a[4].set_xlabel('Time (s)')
a[4].set_ylabel('LL Potential')
return a
def plot_kineticdata(data):
fig = plt.figure()
a = {}
if 'state' in data:
a[0] = fig.add_subplot(411)
plt.plot(data['time'], data['state'], color = 'black')
a[0].set_ylim(-.1, 2.1)
a[0].set_xlabel('Time (s)')
a[0].set_ylabel('State')
if 'velocity' in data:
a[1] = fig.add_subplot(412)
speed = np.array([np.linalg.norm(vel) for vel in data['velocity']])
plt.plot(data['time'], speed * 100, color = 'black')
#a[1].set_ylim(0, 68.5)
a[1].set_xlabel('Time (s)')
a[1].set_ylabel('Speed (cm/s)')
if 'lateral_line' in data:
a[4] = fig.add_subplot(413)
plt.plot(data['time'], data['lateral_line'], color = 'black')
a[4].set_ylim(0, 1)
a[4].set_xlabel('Time (s)')
a[4].set_ylabel('LL Potential')
return fig
def plot_leak(axes = None):
if axes == None:
fig = plt.figure()
axes = fig.add_subplot(111, projection = '3d')
axes.set_xlim(-0.05, 1.05)
#axes.set_ylim(0, 15)
c1 = '.6'
box = {}
box['bottom1'] = Line2D([0, 100], [0, 0], color = c1, linewidth = 2)
box['top1'] = Line2D([0, 100], [1, 1], color = c1, linewidth = 2)
keylist = box.keys()
keylist.sort()
for key in keylist:
axes.add_line(box[key])
axes.set_axis_bgcolor('w')
return axes
def plot_flow(current,axes = None):
if axes == None:
fig = plt.figure()
axes = fig.add_subplot(111)
axes.set_xlim(-0.05, 1.05)
#axes.set_ylim(0, 15)
c1 = '.6'
box = {}
box['bottom1'] = Line2D([0, 100], [0, 0], color = c1, linewidth = 2)
box['top1'] = Line2D([0, 100], [current,current], color = c1, linewidth = 2)
keylist = box.keys()
keylist.sort()
for key in keylist:
axes.add_line(box[key])
axes.set_axis_bgcolor('w')
return axes
def plot_flow_field(flow_field = 'jeb',axes = None):
if flow_field.lower() == 'new':
current_data = np.array([[ 0.08, 0.1 , 0.1 , 0.1 , 0.1 , 0.15],
[ 0.15 , 0.3 , 0.3 , 0.5 , 0.3 , 0.15 ],
[ 0.15 , 0.5 , 0.4 , 0.4 , 0.5 , 0.15 ],
[ 0.15 , 1.0 , 0.6 , 0.6 , 1.0 , 0.15 ],
[ 0.15 , 0.5 , 1.0 , 1.0 , 0.5 , 0.15 ],
[ 0.10 , 0.1 , 0.1 , 0.1 , 0.1 , 0.10 ]])
if flow_field.lower() == 'jeb':
current_data = np.array([[ 0.05, 0.1 , 0.1 , 0.1 , 0.1 , 0.05],
[ 0.1 , 0.4 , 0.4 , 0.4 , 0.4 , 0.1 ],
[ 0.1 , 0.4 , 0.5 , 0.5 , 0.4 , 0.1 ],
[ 0.1 , 0.4 , 1.0 , 0.8 , 0.4 , 0.1 ],
[ 0.1 , 0.2 , 0.2 , 0.2 , 0.2 , 0.1 ],
[ 0.1 , 0.1 , 0.1 , 0.1 , 0.1 , 0.1 ]])
if flow_field.lower() == 'none':
current_data = np.zeros((6,6))
if axes == None:
fig = plt.figure()
axes = fig.add_subplot(111)
axes.imshow(current_data, interpolation='None', origin='lower')
return axes
def plot_leak2D(data, axes = None):
if axes == None:
fig = plt.figure()
ax = fig.add_subplot(111)
if 'lateral_line' in data:
ax.plot(data['lateral_line'], 'k')
ax.plot(np.ones(data['time'].shape[0]),'--k',linewidth=1)
ax.plot(np.zeros(data['time'].shape[0]),'--k',linewidth=1)
ax.text(0.01, 0.99, 'threshold', fontsize=20,transform=ax.transAxes)
ax.text(0.01, 0.01, 'baseline', fontsize=20,transform=ax.transAxes)
plt.ylim(-0.05,1.05)
plt.axis('off')
return fig
def plot_current2D(data, current, axes = None):
if axes == None:
fig = plt.figure()
ax = fig.add_subplot(111)
if 'flow_rate' in data:
ax.plot(data['flow_rate'], 'k')
ax.plot(np.ones(data['time'].shape[0]) * 100 * current,'--k',linewidth=1)
ax.plot(np.zeros(data['time'].shape[0]),'--k',linewidth=1)
ax.text(0.01, 0.99, str(current) + 'cm/s', fontsize=20,transform=ax.transAxes)
ax.text(0.01, 0.01, '0 cm/s', fontsize=20,transform=ax.transAxes)
plt.ylim(-0.1,1.025*current)
plt.axis('off')
return fig
if __name__ == "__main__":
plot_tank()