def main():
root = Tkinter.Tk()
root.withdraw()
file_name = tkFileDialog.askopenfilename(filetypes = (("All files", "*"), ("Template files", "*.type")))
# file_name = "Team 174 Robot Logs - RobotLog_20150210_054531870_log.csv"
converted_dict = load_csv_file(file_name, {'Date and Time': parse_datetime})
image_dir = "images/"
if not os.path.exists(image_dir):
os.mkdir(image_dir)
plt.figure(1)
plot_driver_joysticks(converted_dict)
plt.savefig(image_dir + "DriverSticks.png")
plt.figure(2)
plot_encoders(converted_dict)
plt.savefig(image_dir + "Encoders.png")
plt.figure(3)
plot_scale_tilt(converted_dict)
plt.savefig(image_dir + "Scaling.png")
plt.figure(4)
plot_extension(converted_dict)
plt.savefig(image_dir + "Extension.png")
plt.figure(5)
plot_harvester(converted_dict)
plt.savefig(image_dir + "Harvester.png")
plt.show()
def create_plots(filepath, filename):
converted_dict = load_csv_file(filepath)
if 'Segment Number' not in converted_dict:
return
segment = converted_dict['Segment Number']
dt = converted_dict['Time']
position = converted_dict['Position']
velocity = converted_dict['Velocity']
acceleration = converted_dict['Acceleration']
time = []
sum_time = 0
for i in range(len(dt)):
time.append(sum_time)
sum_time += dt[i]
plt.figure(filename)
plt.subplot(3, 1, 1)
plt.title("Position")
plt.scatter(time, position, c=segment)
plt.subplot(3, 1, 2)
plt.title("Velocity")
plt.scatter(time, velocity, c=segment)
plt.subplot(3, 1, 3)
plt.title("Acceleration")
plt.scatter(time, acceleration, c=segment)
def create_plots(filepath, filename):
converted_dict = load_csv_file(filepath)
directions = ["Left", "Right"]
if "LeftPos" not in converted_dict:
return
dt = converted_dict['LeftDt']
position = converted_dict['LeftPos']
velocity = converted_dict['LeftVelocity']
acceleration = converted_dict['LeftAcceleration']
time = []
sum_time = 0
for i in range(len(dt)):
time.append(sum_time)
sum_time += dt[i]
num_rows = 5
num_cols = 2
for i, direction in enumerate(directions):
position = converted_dict[direction + 'Pos']
velocity = converted_dict[direction + 'Velocity']
acceleration = converted_dict[direction + 'Acceleration']
plt.figure(filename)
plt.subplot(num_rows, num_cols, i + 1)
plt.title(direction + " Position")
plt.scatter(time, position)
plt.subplot(num_rows, num_cols, i + 3)
plt.title(direction + " Velocity")
plt.scatter(time, velocity)
plt.subplot(num_rows, num_cols, i + 5)
plt.title(direction + " Acceleration")
plt.scatter(time, acceleration)
heading = converted_dict['LeftHeading']
left_x = converted_dict['LeftX']
left_y = converted_dict['LeftY']
right_x = converted_dict['RightX']
right_y = converted_dict['RightY']
plt.subplot(num_rows, num_cols, i + 7)
plt.title("Heading")
plt.scatter(time, heading)
plt.subplot(num_rows, num_cols, i + 9)
plt.title("Position")
plt.scatter(left_x, left_y, c=time)
plt.scatter(right_x, right_y, c=time)
