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Brantegger Georg
2022-08-08 14:51:49 +02:00
parent 112c9d427a 38c809ef49
commit cfb8652ac2
10 changed files with 491 additions and 332 deletions
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112
Druckrohrleitung/Druckrohrleitung_class_file.py
View File

@@ -9,14 +9,16 @@ sys.path.append(parent)
from functions.pressure_conversion import pressure_conversion
class Druckrohrleitung_class:
# units
# units
# make sure that units and display units are the same
# units are used to label graphs and disp units are used to have a bearable format when using pythons print()
acceleration_unit = r'$\mathrm{m}/\mathrm{s}^2$'
angle_unit = 'rad'
area_unit = r'$\mathrm{m}^2$'
density_unit = r'$\mathrm{kg}/\mathrm{m}^3$'
flux_unit = r'$\mathrm{m}^3/\mathrm{s}$'
length_unit = 'm'
pressure_unit = 'Pa'
pressure_unit = 'Pa' # DONT CHANGE needed for pressure conversion
time_unit = 's'
velocity_unit = r'$\mathrm{m}/\mathrm{s}$' # for flux and pressure propagation
volume_unit = r'$\mathrm{m}^3$'
@@ -27,33 +29,54 @@ class Druckrohrleitung_class:
density_unit_disp = 'kg/m³'
flux_unit_disp = 'm³/s'
length_unit_disp = 'm'
# pressure_unit_disp will be set within the __init__() method
time_unit_disp = 's'
velocity_unit_disp = 'm/s' # for flux and pressure propagation
volume_unit_disp = 'm³'
g = 9.81
g = 9.81 # m/s² gravitational acceleration
# init
def __init__(self,total_length,diameter,number_segments,pipeline_angle,Darcy_friction_factor,pw_vel,timestep,pressure_unit_disp,rho=1000):
self.length = total_length # total length of the pipeline
self.dia = diameter # diameter of the pipeline
self.n_seg = number_segments # number of segments for the method of characteristics
self.angle = pipeline_angle # angle of the pipeline
self.f_D = Darcy_friction_factor # = Rohrreibungszahl oder flow coefficient
self.c = pw_vel
def __init__(self,total_length,diameter,pipeline_head,number_segments,Darcy_friction_factor,pw_vel,timestep,pressure_unit_disp,rho=1000):
"""
Creates a reservoir with given attributes in this order: \n
Pipeline length [m] \n
Pipeline diameter [m] \n
Pipeline head [m] \n
Number of pipeline segments [1] \n
Darcy friction factor [1] \n
Pressure wave velocity [m/s] \n
Simulation timestep [s] \n
Pressure unit for displaying [string] \n
Density of the liquid [kg/m³] \n
"""
self.length = total_length # total length of the pipeline
self.dia = diameter # diameter of the pipeline
self.head = pipeline_head # hydraulic head of the pipeline
self.n_seg = number_segments # number of segments for the method of characteristics
self.f_D = Darcy_friction_factor # = Rohrreibungszahl oder flow coefficient
self.c = pw_vel # propagation velocity of pressure wave
self.dt = timestep
self.density = rho # density of the liquid in the pipeline
self.density = rho # density of the liquid in the pipeline
self.A = (diameter/2)**2*np.pi
# derivatives of input attributes
self.angle = np.arcsin(self.head/self.length) # angle of the pipeline
self.A = (diameter/2)**2*np.pi # crossectional area of the pipeline
self.dx = total_length/number_segments # length of each segment
self.x_vec = np.arange(0,(number_segments+1),1)*self.dx # vector giving the distance from each node to the start of the pipeline
self.h_vec = np.arange(0,(number_segments+1),1)*self.head/self.n_seg # vector giving the height difference from each node to the start of the pipeline
self.pressure_unit_disp = pressure_unit_disp # pressure unit for displaying
self.dx = total_length/number_segments # length of each segment
self.x_vec = np.arange(0,(number_segments+1),1)*self.dx # vector giving the distance from each node to the start of the pipeline
self.pressure_unit_disp = pressure_unit_disp
# setter
def set_initial_pressure(self,pressure):
# setter - set attributes
def set_initial_pressure(self,pressure,display_warning=True):
# initialize the pressure distribution in the pipeline
if display_warning == True:
print('You are setting the pressure distribution in the pipeline manually. \n \
This is not an intended use of this method. \n \
Refer to the set_steady_state() method instead.')
# make sure the vector has the right size
if np.size(pressure) == 1:
p0 = np.full_like(self.x_vec,pressure)
elif np.size(pressure) == np.size(self.x_vec):
@@ -64,11 +87,18 @@ class Druckrohrleitung_class:
#initialize the vectors in which the old and new pressures are stored for the method of characteristics
self.p_old = p0.copy()
self.p = p0.copy()
# initialize the vectors in which the minimal and maximal value of the pressure at each node are stores
self.p_min = p0.copy()
self.p_max = p0.copy()
def set_initial_flow_velocity(self,velocity):
def set_initial_flow_velocity(self,velocity, display_warning=True):
# initialize the velocity distribution in the pipeline
if display_warning == True:
print('You are setting the velocity distribution in the pipeline manually. \n \
This is not an intended use of this method. \n \
Refer to the set_steady_state() method instead.')
# make sure the vector has the right size
if np.size(velocity) == 1:
v0 = np.full_like(self.x_vec,velocity)
elif np.size(velocity) == np.size(self.x_vec):
@@ -79,6 +109,7 @@ class Druckrohrleitung_class:
#initialize the vectors in which the old and new velocities are stored for the method of characteristics
self.v_old = v0.copy()
self.v = v0.copy()
# initialize the vectors in which the minimal and maximal value of the velocity at each node are stores
self.v_min = v0.copy()
self.v_max = v0.copy()
@@ -114,21 +145,19 @@ class Druckrohrleitung_class:
self.p[0] = p_boundary_res
self.p[-1] = p_boundary_tur
def set_steady_state(self,ss_flux,ss_level_reservoir,area_reservoir,x_vec,h_vec):
def set_steady_state(self,ss_flux,ss_pressure_res):
# set the pressure and velocity distributions, that allow a constant flow of water from the (steady-state) reservoir to the (steady-state) turbine
# the flow velocity is given by the constant flow through the pipe
ss_v0 = np.full_like(self.x_vec,ss_flux/self.A)
# the static pressure is given by static state pressure of the reservoir, corrected for the hydraulic head of the pipe and friction losses
ss_v_in_res = abs(ss_flux/area_reservoir)
ss_v_out_res = abs(ss_flux/self.A)
ss_pressure_res = self.density*self.g*(ss_level_reservoir)+self.density*ss_v_out_res*(ss_v_in_res-ss_v_out_res)
ss_pressure = ss_pressure_res+(self.density*self.g*h_vec)-(self.f_D*x_vec/self.dia*self.density/2*ss_v0**2)
ss_pressure = ss_pressure_res+(self.density*self.g*self.h_vec)-(self.f_D*self.x_vec/self.dia*self.density/2*ss_v0**2)
self.set_initial_flow_velocity(ss_v0)
self.set_initial_pressure(ss_pressure)
# set the initial conditions
self.set_initial_flow_velocity(ss_v0,display_warning=False)
self.set_initial_pressure(ss_pressure,display_warning=False)
# getter
# getter - return attributes
def get_info(self):
new_line = '\n'
angle_deg = round(self.angle/np.pi*180,3)
@@ -139,6 +168,7 @@ class Druckrohrleitung_class:
f"----------------------------- {new_line}"
f"Length = {self.length:<10} {self.length_unit_disp} {new_line}"
f"Diameter = {self.dia:<10} {self.length_unit_disp} {new_line}"
f"Hydraulic head = {self.head:<10} {self.length_unit_disp} {new_line}"
f"Number of segments = {self.n_seg:<10} {new_line}"
f"Number of nodes = {self.n_seg+1:<10} {new_line}"
f"Length per segments = {self.dx:<10} {self.length_unit_disp} {new_line}"
@@ -148,17 +178,16 @@ class Druckrohrleitung_class:
f"Density of liquid = {self.density:<10} {self.density_unit_disp} {new_line}"
f"Pressure wave vel. = {self.c:<10} {self.velocity_unit_disp} {new_line}"
f"Simulation timestep = {self.dt:<10} {self.time_unit_disp} {new_line}"
f"Number of timesteps = {self.nt:<10} {new_line}"
f"Total simulation time = {self.nt*self.dt:<10} {self.time_unit_disp} {new_line}"
f"----------------------------- {new_line}"
f"Velocity and pressure distribution are vectors and are accessible by the .v and .p attribute of the pipeline object")
print(print_str)
def get_current_pressure_distribution(self,disp=False):
if disp == True:
def get_current_pressure_distribution(self,disp_flag=False):
# disp_flag if one wants to directly plot the return of this method
if disp_flag == True: # convert to pressure unit disp
return pressure_conversion(self.p,self.pressure_unit,self.pressure_unit_disp)
elif disp == False:
elif disp_flag == False: # stay in Pa
return self.p
def get_current_velocity_distribution(self):
@@ -167,16 +196,16 @@ class Druckrohrleitung_class:
def get_current_flux_distribution(self):
return self.v*self.A
def get_lowest_pressure_per_node(self,disp=False):
if disp == True:
def get_lowest_pressure_per_node(self,disp_flag=False):
if disp_flag == True: # convert to pressure unit disp
return pressure_conversion(self.p_min,self.pressure_unit,self.pressure_unit_disp)
elif disp == False:
elif disp_flag == False: # stay in Pa
return self.p_min
def get_highest_pressure_per_node(self,disp=False):
if disp == True:
def get_highest_pressure_per_node(self,disp_flag=False):
if disp_flag == True: # convert to pressure unit disp
return pressure_conversion(self.p_max,self.pressure_unit,self.pressure_unit_disp)
elif disp == False:
elif disp_flag == False: # stay in Pa
return self.p_max
def get_lowest_velocity_per_node(self):
@@ -194,14 +223,15 @@ class Druckrohrleitung_class:
def timestep_characteristic_method(self):
# use the method of characteristics to calculate the pressure and velocities at all nodes except the boundary ones
# they are set with the .set_boundary_conditions_next_timestep() method beforehand
# they are set with the .set_boundary_conditions_next_timestep() method beforehand
# constants for cleaner formula
nn = self.n_seg+1 # number of nodes
rho = self.density # density of liquid
c = self.c # pressure propagation velocity
f_D = self.f_D # Darcy friction coefficient
dt = self.dt # timestep
D = self.dia # pipeline diametet
D = self.dia # pipeline diameter
g = self.g # graviational acceleration
alpha = self.angle # pipeline angle

174
Druckrohrleitung/Druckrohrleitung_test_steady_state.ipynb
View File

@@ -34,36 +34,32 @@
"pUnit_calc = 'Pa' # [text] DO NOT CHANGE! for pressure conversion in print statements and plot labels \n",
"pUnit_conv = 'mWS' # [text] for pressure conversion in print statements and plot labels\n",
"\n",
"\n",
" # for Turbine\n",
"Tur_Q_nenn = 0.85 # [m³/s] nominal flux of turbine \n",
"Tur_p_nenn = pressure_conversion(10.6,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
"Tur_closingTime = 90. # [s] closing time of turbine\n",
"\n",
"Tur_Q_nenn = 0.85 # [m³/s] nominal flux of turbine \n",
"Tur_p_nenn = pressure_conversion(10.6,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
"Tur_closingTime = 90. # [s] closing time of turbine\n",
"\n",
" # for PI controller\n",
"Con_targetLevel = 8. # [m]\n",
"Con_K_p = 0.1 # [-] proportional constant of PI controller\n",
"Con_T_i = 10. # [s] timespan in which a steady state error is corrected by the intergal term\n",
"Con_T_i = 10. # [s] timespan in which a steady state error is corrected by the intergal term\n",
"Con_deadbandRange = 0.05 # [m] Deadband range around targetLevel for which the controller does NOT intervene\n",
"\n",
"\n",
" # for pipeline\n",
"Pip_length = (535.+478.) # [m] length of pipeline\n",
"Pip_dia = 0.9 # [m] diameter of pipeline\n",
"Pip_area = Pip_dia**2/4*np.pi # [m²] crossectional area of pipeline\n",
"Pip_head = 105. # [m] hydraulic head of pipeline without reservoir\n",
"Pip_angle = np.arcsin(Pip_head/Pip_length) # [rad] elevation angle of pipeline \n",
"Pip_n_seg = 50 # [-] number of pipe segments in discretization\n",
"Pip_f_D = 0.014 # [-] Darcy friction factor\n",
"Pip_pw_vel = 500. # [m/s] propagation velocity of the pressure wave (pw) in the given pipeline\n",
"Pip_length = (535.+478.) # [m] length of pipeline\n",
"Pip_dia = 0.9 # [m] diameter of pipeline\n",
"Pip_area = Pip_dia**2/4*np.pi # [m²] crossectional area of pipeline\n",
"Pip_head = 105. # [m] hydraulic head of pipeline without reservoir\n",
"Pip_angle = np.arcsin(Pip_head/Pip_length) # [rad] elevation angle of pipeline \n",
"Pip_n_seg = 50 # [-] number of pipe segments in discretization\n",
"Pip_f_D = 0.014 # [-] Darcy friction factor\n",
"Pip_pw_vel = 500. # [m/s] propagation velocity of the pressure wave (pw) in the given pipeline\n",
" # derivatives of the pipeline constants\n",
"Pip_dx = Pip_length/Pip_n_seg # [m] length of each pipe segment\n",
"Pip_dt = Pip_dx/Pip_pw_vel # [s] timestep according to method of characteristics\n",
"Pip_nn = Pip_n_seg+1 # [1] number of nodes\n",
"Pip_x_vec = np.arange(0,Pip_nn,1)*Pip_dx # [m] vector holding the distance of each node from the upstream reservoir along the pipeline\n",
"Pip_h_vec = np.arange(0,Pip_nn,1)*Pip_head/Pip_n_seg # [m] vector holding the vertival distance of each node from the upstream reservoir\n",
"\n",
"Pip_dx = Pip_length/Pip_n_seg # [m] length of each pipe segment\n",
"Pip_dt = Pip_dx/Pip_pw_vel # [s] timestep according to method of characteristics\n",
"Pip_nn = Pip_n_seg+1 # [1] number of nodes\n",
"Pip_x_vec = np.arange(0,Pip_nn,1)*Pip_dx # [m] vector holding the distance of each node from the upstream reservoir along the pipeline\n",
"Pip_h_vec = np.arange(0,Pip_nn,1)*Pip_head/Pip_n_seg # [m] vector holding the vertival distance of each node from the upstream reservoir\n",
"\n",
" # for reservoir\n",
"Res_area_base = 74. # [m²] total base are of the cuboid reservoir \n",
@@ -75,38 +71,68 @@
"Res_dt = Pip_dt/Res_nt # [s] harmonised timestep of reservoir time evolution\n",
"\n",
" # for general simulation\n",
"flux_init = Tur_Q_nenn/1.1 # [m³/s] initial flux through whole system for steady state initialization \n",
"level_init = Con_targetLevel # [m] initial water level in upstream reservoir for steady state initialization\n",
"simTime_target = 600. # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
"nt = int(simTime_target//Pip_dt) # [1] Number of timesteps of the whole system\n",
"t_vec = np.arange(0,nt+1,1)*Pip_dt # [s] time vector. At each step of t_vec the system parameters are stored\n"
"flux_init = Tur_Q_nenn/1.1 # [m³/s] initial flux through whole system for steady state initialization \n",
"level_init = Con_targetLevel # [m] initial water level in upstream reservoir for steady state initialization\n",
"simTime_target = 600. # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
"nt = int(simTime_target//Pip_dt) # [1] Number of timesteps of the whole system\n",
"t_vec = np.arange(0,nt+1,1)*Pip_dt # [s] time vector. At each step of t_vec the system parameters are stored\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The pipeline has the following attributes: \n",
"----------------------------- \n",
"Length = 1013.0 m \n",
"Diameter = 0.9 m \n",
"Hydraulic head = 105.0 m \n",
"Number of segments = 50 \n",
"Number of nodes = 51 \n",
"Length per segments = 20.26 m \n",
"Pipeline angle = 0.104 rad \n",
"Pipeline angle = 5.95° \n",
"Darcy friction factor = 0.014 \n",
"Density of liquid = 1000.0 kg/m³ \n",
"Pressure wave vel. = 500.0 m/s \n",
"Simulation timestep = 0.04052 s \n",
"----------------------------- \n",
"Velocity and pressure distribution are vectors and are accessible by the .v and .p attribute of the pipeline object\n",
"The pipeline has the following attributes: \n",
"----------------------------- \n",
"Length = 1013.0 m \n",
"Diameter = 0.9 m \n",
"Hydraulic head = 105.0 m \n",
"Number of segments = 50 \n",
"Number of nodes = 51 \n",
"Length per segments = 20.26 m \n",
"Pipeline angle = 0.104 rad \n",
"Pipeline angle = 5.95° \n",
"Darcy friction factor = 0.014 \n",
"Density of liquid = 1000.0 kg/m³ \n",
"Pressure wave vel. = 500.0 m/s \n",
"Simulation timestep = 0.04052 s \n",
"----------------------------- \n",
"Velocity and pressure distribution are vectors and are accessible by the .v and .p attribute of the pipeline object\n"
]
}
],
"source": [
"# create objects\n",
"\n",
"# Upstream reservoir\n",
"reservoir = Ausgleichsbecken_class(Res_area_base,Res_area_out,Res_dt,Res_level_crit_lo,Res_level_crit_hi,rho)\n",
"reservoir = Ausgleichsbecken_class(Res_area_base,Res_area_out,Res_dt,pUnit_conv,Res_level_crit_lo,Res_level_crit_hi,rho)\n",
"reservoir.set_steady_state(flux_init,level_init)\n",
"\n",
"# pipeline\n",
"pipe = Druckrohrleitung_class(Pip_length,Pip_dia,Pip_n_seg,Pip_angle,Pip_f_D,Pip_pw_vel,Pip_dt,pUnit_conv,rho)\n",
"pipe.set_steady_state(flux_init,level_init,Res_area_base,Pip_x_vec,Pip_h_vec)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"reservoir.get_info(full=True)\n",
"pipe.get_info(full=True)"
"pipe = Druckrohrleitung_class(Pip_length,Pip_dia,Pip_head,Pip_n_seg,Pip_f_D,Pip_pw_vel,Pip_dt,pUnit_conv,rho)\n",
"pipe.set_steady_state(flux_init,reservoir.get_current_pressure())\n",
"pipe.get_info()\n"
]
},
{
@@ -171,35 +197,41 @@
"metadata": {},
"outputs": [
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32my:\\KELAG\\KS\\KS-PW\\04 Digitalisierung\\KSPWDEV Server\\Digital Trainee Projekt\\DT_Slot_3_Project_Repo\\Druckrohrleitung\\Druckrohrleitung_test_steady_state.ipynb Cell 7\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[0;32m <a href='vscode-notebook-cell:/y%3A/KELAG/KS/KS-PW/04%20Digitalisierung/KSPWDEV%20Server/Digital%20Trainee%20Projekt/DT_Slot_3_Project_Repo/Druckrohrleitung/Druckrohrleitung_test_steady_state.ipynb#ch0000006?line=34'>35</a>\u001b[0m lo_01, \u001b[39m=\u001b[39m axs1[\u001b[39m1\u001b[39m]\u001b[39m.\u001b[39mplot(pl_vec,v_old,marker\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.\u001b[39m\u001b[39m'\u001b[39m,c\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mblue\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m <a href='vscode-notebook-cell:/y%3A/KELAG/KS/KS-PW/04%20Digitalisierung/KSPWDEV%20Server/Digital%20Trainee%20Projekt/DT_Slot_3_Project_Repo/Druckrohrleitung/Druckrohrleitung_test_steady_state.ipynb#ch0000006?line=36'>37</a>\u001b[0m fig1\u001b[39m.\u001b[39msuptitle(\u001b[39mstr\u001b[39m(\u001b[39mround\u001b[39m(t_vec[it_pipe],\u001b[39m2\u001b[39m)) \u001b[39m+\u001b[39m \u001b[39m'\u001b[39m\u001b[39m/\u001b[39m\u001b[39m'\u001b[39m \u001b[39m+\u001b[39m \u001b[39mstr\u001b[39m(\u001b[39mround\u001b[39m(t_vec[\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m],\u001b[39m2\u001b[39m)))\n\u001b[1;32m---> <a href='vscode-notebook-cell:/y%3A/KELAG/KS/KS-PW/04%20Digitalisierung/KSPWDEV%20Server/Digital%20Trainee%20Projekt/DT_Slot_3_Project_Repo/Druckrohrleitung/Druckrohrleitung_test_steady_state.ipynb#ch0000006?line=37'>38</a>\u001b[0m fig1\u001b[39m.\u001b[39;49mcanvas\u001b[39m.\u001b[39;49mdraw()\n\u001b[0;32m <a href='vscode-notebook-cell:/y%3A/KELAG/KS/KS-PW/04%20Digitalisierung/KSPWDEV%20Server/Digital%20Trainee%20Projekt/DT_Slot_3_Project_Repo/Druckrohrleitung/Druckrohrleitung_test_steady_state.ipynb#ch0000006?line=38'>39</a>\u001b[0m fig1\u001b[39m.\u001b[39mtight_layout()\n\u001b[0;32m <a href='vscode-notebook-cell:/y%3A/KELAG/KS/KS-PW/04%20Digitalisierung/KSPWDEV%20Server/Digital%20Trainee%20Projekt/DT_Slot_3_Project_Repo/Druckrohrleitung/Druckrohrleitung_test_steady_state.ipynb#ch0000006?line=39'>40</a>\u001b[0m plt\u001b[39m.\u001b[39mpause(\u001b[39m0.000001\u001b[39m)\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:436\u001b[0m, in \u001b[0;36mFigureCanvasAgg.draw\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 432\u001b[0m \u001b[39m# Acquire a lock on the shared font cache.\u001b[39;00m\n\u001b[0;32m 433\u001b[0m \u001b[39mwith\u001b[39;00m RendererAgg\u001b[39m.\u001b[39mlock, \\\n\u001b[0;32m 434\u001b[0m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtoolbar\u001b[39m.\u001b[39m_wait_cursor_for_draw_cm() \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtoolbar\n\u001b[0;32m 435\u001b[0m \u001b[39melse\u001b[39;00m nullcontext()):\n\u001b[1;32m--> 436\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfigure\u001b[39m.\u001b[39;49mdraw(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mrenderer)\n\u001b[0;32m 437\u001b[0m \u001b[39m# A GUI class may be need to update a window using this draw, so\u001b[39;00m\n\u001b[0;32m 438\u001b[0m \u001b[39m# don't forget to call the superclass.\u001b[39;00m\n\u001b[0;32m 439\u001b[0m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mdraw()\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\artist.py:73\u001b[0m, in \u001b[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001b[1;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[0;32m 71\u001b[0m \u001b[39m@wraps\u001b[39m(draw)\n\u001b[0;32m 72\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdraw_wrapper\u001b[39m(artist, renderer, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[1;32m---> 73\u001b[0m result \u001b[39m=\u001b[39m draw(artist, renderer, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[0;32m 74\u001b[0m \u001b[39mif\u001b[39;00m renderer\u001b[39m.\u001b[39m_rasterizing:\n\u001b[0;32m 75\u001b[0m renderer\u001b[39m.\u001b[39mstop_rasterizing()\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\artist.py:50\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[1;34m(artist, renderer)\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 48\u001b[0m renderer\u001b[39m.\u001b[39mstart_filter()\n\u001b[1;32m---> 50\u001b[0m \u001b[39mreturn\u001b[39;00m draw(artist, renderer)\n\u001b[0;32m 51\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[0;32m 52\u001b[0m \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\figure.py:2810\u001b[0m, in \u001b[0;36mFigure.draw\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m 2807\u001b[0m \u001b[39m# ValueError can occur when resizing a window.\u001b[39;00m\n\u001b[0;32m 2809\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpatch\u001b[39m.\u001b[39mdraw(renderer)\n\u001b[1;32m-> 2810\u001b[0m mimage\u001b[39m.\u001b[39;49m_draw_list_compositing_images(\n\u001b[0;32m 2811\u001b[0m renderer, \u001b[39mself\u001b[39;49m, artists, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msuppressComposite)\n\u001b[0;32m 2813\u001b[0m \u001b[39mfor\u001b[39;00m sfig \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msubfigs:\n\u001b[0;32m 2814\u001b[0m sfig\u001b[39m.\u001b[39mdraw(renderer)\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\image.py:132\u001b[0m, in \u001b[0;36m_draw_list_compositing_images\u001b[1;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[39mif\u001b[39;00m not_composite \u001b[39mor\u001b[39;00m \u001b[39mnot\u001b[39;00m has_images:\n\u001b[0;32m 131\u001b[0m \u001b[39mfor\u001b[39;00m a \u001b[39min\u001b[39;00m artists:\n\u001b[1;32m--> 132\u001b[0m a\u001b[39m.\u001b[39;49mdraw(renderer)\n\u001b[0;32m 133\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 134\u001b[0m \u001b[39m# Composite any adjacent images together\u001b[39;00m\n\u001b[0;32m 135\u001b[0m image_group \u001b[39m=\u001b[39m []\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\artist.py:50\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[1;34m(artist, renderer)\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 48\u001b[0m renderer\u001b[39m.\u001b[39mstart_filter()\n\u001b[1;32m---> 50\u001b[0m \u001b[39mreturn\u001b[39;00m draw(artist, renderer)\n\u001b[0;32m 51\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[0;32m 52\u001b[0m \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axes\\_base.py:3082\u001b[0m, in \u001b[0;36m_AxesBase.draw\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m 3079\u001b[0m a\u001b[39m.\u001b[39mdraw(renderer)\n\u001b[0;32m 3080\u001b[0m renderer\u001b[39m.\u001b[39mstop_rasterizing()\n\u001b[1;32m-> 3082\u001b[0m mimage\u001b[39m.\u001b[39;49m_draw_list_compositing_images(\n\u001b[0;32m 3083\u001b[0m renderer, \u001b[39mself\u001b[39;49m, artists, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfigure\u001b[39m.\u001b[39;49msuppressComposite)\n\u001b[0;32m 3085\u001b[0m renderer\u001b[39m.\u001b[39mclose_group(\u001b[39m'\u001b[39m\u001b[39maxes\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 3086\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstale \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\image.py:132\u001b[0m, in \u001b[0;36m_draw_list_compositing_images\u001b[1;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[39mif\u001b[39;00m not_composite \u001b[39mor\u001b[39;00m \u001b[39mnot\u001b[39;00m has_images:\n\u001b[0;32m 131\u001b[0m \u001b[39mfor\u001b[39;00m a \u001b[39min\u001b[39;00m artists:\n\u001b[1;32m--> 132\u001b[0m a\u001b[39m.\u001b[39;49mdraw(renderer)\n\u001b[0;32m 133\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 134\u001b[0m \u001b[39m# Composite any adjacent images together\u001b[39;00m\n\u001b[0;32m 135\u001b[0m image_group \u001b[39m=\u001b[39m []\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\artist.py:50\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[1;34m(artist, renderer)\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 48\u001b[0m renderer\u001b[39m.\u001b[39mstart_filter()\n\u001b[1;32m---> 50\u001b[0m \u001b[39mreturn\u001b[39;00m draw(artist, renderer)\n\u001b[0;32m 51\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[0;32m 52\u001b[0m \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axis.py:1170\u001b[0m, in \u001b[0;36mAxis.draw\u001b[1;34m(self, renderer, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1163\u001b[0m tick\u001b[39m.\u001b[39mdraw(renderer)\n\u001b[0;32m 1165\u001b[0m \u001b[39m# scale up the axis label box to also find the neighbors, not\u001b[39;00m\n\u001b[0;32m 1166\u001b[0m \u001b[39m# just the tick labels that actually overlap note we need a\u001b[39;00m\n\u001b[0;32m 1167\u001b[0m \u001b[39m# *copy* of the axis label box because we don't want to scale\u001b[39;00m\n\u001b[0;32m 1168\u001b[0m \u001b[39m# the actual bbox\u001b[39;00m\n\u001b[1;32m-> 1170\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_update_label_position(renderer)\n\u001b[0;32m 1172\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlabel\u001b[39m.\u001b[39mdraw(renderer)\n\u001b[0;32m 1174\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_update_offset_text_position(ticklabelBoxes, ticklabelBoxes2)\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axis.py:2352\u001b[0m, in \u001b[0;36mYAxis._update_label_position\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m 2348\u001b[0m \u001b[39mreturn\u001b[39;00m\n\u001b[0;32m 2350\u001b[0m \u001b[39m# get bounding boxes for this axis and any siblings\u001b[39;00m\n\u001b[0;32m 2351\u001b[0m \u001b[39m# that have been set by `fig.align_ylabels()`\u001b[39;00m\n\u001b[1;32m-> 2352\u001b[0m bboxes, bboxes2 \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_tick_boxes_siblings(renderer\u001b[39m=\u001b[39;49mrenderer)\n\u001b[0;32m 2354\u001b[0m x, y \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlabel\u001b[39m.\u001b[39mget_position()\n\u001b[0;32m 2355\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlabel_position \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mleft\u001b[39m\u001b[39m'\u001b[39m:\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axis.py:1880\u001b[0m, in \u001b[0;36mAxis._get_tick_boxes_siblings\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m 1878\u001b[0m \u001b[39mfor\u001b[39;00m ax \u001b[39min\u001b[39;00m grouper\u001b[39m.\u001b[39mget_siblings(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39maxes):\n\u001b[0;32m 1879\u001b[0m axis \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(ax, \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00maxis_name\u001b[39m}\u001b[39;00m\u001b[39maxis\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m-> 1880\u001b[0m ticks_to_draw \u001b[39m=\u001b[39m axis\u001b[39m.\u001b[39;49m_update_ticks()\n\u001b[0;32m 1881\u001b[0m tlb, tlb2 \u001b[39m=\u001b[39m axis\u001b[39m.\u001b[39m_get_tick_bboxes(ticks_to_draw, renderer)\n\u001b[0;32m 1882\u001b[0m bboxes\u001b[39m.\u001b[39mextend(tlb)\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axis.py:1053\u001b[0m, in \u001b[0;36mAxis._update_ticks\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1051\u001b[0m tick\u001b[39m.\u001b[39mset_label1(label)\n\u001b[0;32m 1052\u001b[0m tick\u001b[39m.\u001b[39mset_label2(label)\n\u001b[1;32m-> 1053\u001b[0m minor_locs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mget_minorticklocs()\n\u001b[0;32m 1054\u001b[0m minor_labels \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mminor\u001b[39m.\u001b[39mformatter\u001b[39m.\u001b[39mformat_ticks(minor_locs)\n\u001b[0;32m 1055\u001b[0m minor_ticks \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_minor_ticks(\u001b[39mlen\u001b[39m(minor_locs))\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axis.py:1282\u001b[0m, in \u001b[0;36mAxis.get_minorticklocs\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1280\u001b[0m \u001b[39m\"\"\"Return this Axis' minor tick locations in data coordinates.\"\"\"\u001b[39;00m\n\u001b[0;32m 1281\u001b[0m \u001b[39m# Remove minor ticks duplicating major ticks.\u001b[39;00m\n\u001b[1;32m-> 1282\u001b[0m major_locs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mmajor\u001b[39m.\u001b[39;49mlocator()\n\u001b[0;32m 1283\u001b[0m minor_locs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mminor\u001b[39m.\u001b[39mlocator()\n\u001b[0;32m 1284\u001b[0m transform \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_scale\u001b[39m.\u001b[39mget_transform()\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\ticker.py:2114\u001b[0m, in \u001b[0;36mMaxNLocator.__call__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 2112\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m 2113\u001b[0m vmin, vmax \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39maxis\u001b[39m.\u001b[39mget_view_interval()\n\u001b[1;32m-> 2114\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtick_values(vmin, vmax)\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\ticker.py:2122\u001b[0m, in \u001b[0;36mMaxNLocator.tick_values\u001b[1;34m(self, vmin, vmax)\u001b[0m\n\u001b[0;32m 2119\u001b[0m vmin \u001b[39m=\u001b[39m \u001b[39m-\u001b[39mvmax\n\u001b[0;32m 2120\u001b[0m vmin, vmax \u001b[39m=\u001b[39m mtransforms\u001b[39m.\u001b[39mnonsingular(\n\u001b[0;32m 2121\u001b[0m vmin, vmax, expander\u001b[39m=\u001b[39m\u001b[39m1e-13\u001b[39m, tiny\u001b[39m=\u001b[39m\u001b[39m1e-14\u001b[39m)\n\u001b[1;32m-> 2122\u001b[0m locs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_raw_ticks(vmin, vmax)\n\u001b[0;32m 2124\u001b[0m prune \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_prune\n\u001b[0;32m 2125\u001b[0m \u001b[39mif\u001b[39;00m prune \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mlower\u001b[39m\u001b[39m'\u001b[39m:\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\ticker.py:2061\u001b[0m, in \u001b[0;36mMaxNLocator._raw_ticks\u001b[1;34m(self, vmin, vmax)\u001b[0m\n\u001b[0;32m 2059\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_nbins \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mauto\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m 2060\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39maxis \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m-> 2061\u001b[0m nbins \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mclip(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49maxis\u001b[39m.\u001b[39;49mget_tick_space(),\n\u001b[0;32m 2062\u001b[0m \u001b[39mmax\u001b[39m(\u001b[39m1\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_min_n_ticks \u001b[39m-\u001b[39m \u001b[39m1\u001b[39m), \u001b[39m9\u001b[39m)\n\u001b[0;32m 2063\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 2064\u001b[0m nbins \u001b[39m=\u001b[39m \u001b[39m9\u001b[39m\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\axis.py:2524\u001b[0m, in \u001b[0;36mYAxis.get_tick_space\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 2523\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_tick_space\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m-> 2524\u001b[0m ends \u001b[39m=\u001b[39m mtransforms\u001b[39m.\u001b[39;49mBbox\u001b[39m.\u001b[39;49mfrom_bounds(\u001b[39m0\u001b[39;49m, \u001b[39m0\u001b[39;49m, \u001b[39m1\u001b[39;49m, \u001b[39m1\u001b[39;49m)\n\u001b[0;32m 2525\u001b[0m ends \u001b[39m=\u001b[39m ends\u001b[39m.\u001b[39mtransformed(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39maxes\u001b[39m.\u001b[39mtransAxes \u001b[39m-\u001b[39m\n\u001b[0;32m 2526\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfigure\u001b[39m.\u001b[39mdpi_scale_trans)\n\u001b[0;32m 2527\u001b[0m length \u001b[39m=\u001b[39m ends\u001b[39m.\u001b[39mheight \u001b[39m*\u001b[39m \u001b[39m72\u001b[39m\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\transforms.py:820\u001b[0m, in \u001b[0;36mBbox.from_bounds\u001b[1;34m(x0, y0, width, height)\u001b[0m\n\u001b[0;32m 813\u001b[0m \u001b[39m@staticmethod\u001b[39m\n\u001b[0;32m 814\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfrom_bounds\u001b[39m(x0, y0, width, height):\n\u001b[0;32m 815\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 816\u001b[0m \u001b[39m Create a new `Bbox` from *x0*, *y0*, *width* and *height*.\u001b[39;00m\n\u001b[0;32m 817\u001b[0m \n\u001b[0;32m 818\u001b[0m \u001b[39m *width* and *height* may be negative.\u001b[39;00m\n\u001b[0;32m 819\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 820\u001b[0m \u001b[39mreturn\u001b[39;00m Bbox\u001b[39m.\u001b[39;49mfrom_extents(x0, y0, x0 \u001b[39m+\u001b[39;49m width, y0 \u001b[39m+\u001b[39;49m height)\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\transforms.py:839\u001b[0m, in \u001b[0;36mBbox.from_extents\u001b[1;34m(minpos, *args)\u001b[0m\n\u001b[0;32m 822\u001b[0m \u001b[39m@staticmethod\u001b[39m\n\u001b[0;32m 823\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfrom_extents\u001b[39m(\u001b[39m*\u001b[39margs, minpos\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m 824\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 825\u001b[0m \u001b[39m Create a new Bbox from *left*, *bottom*, *right* and *top*.\u001b[39;00m\n\u001b[0;32m 826\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 837\u001b[0m \u001b[39m scales where negative bounds result in floating point errors.\u001b[39;00m\n\u001b[0;32m 838\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 839\u001b[0m bbox \u001b[39m=\u001b[39m Bbox(np\u001b[39m.\u001b[39;49mreshape(args, (\u001b[39m2\u001b[39;49m, \u001b[39m2\u001b[39;49m)))\n\u001b[0;32m 840\u001b[0m \u001b[39mif\u001b[39;00m minpos \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 841\u001b[0m bbox\u001b[39m.\u001b[39m_minpos[:] \u001b[39m=\u001b[39m minpos\n",
"File \u001b[1;32mc:\\ProgramData\\Anaconda3\\envs\\Georg_DT_Slot3\\lib\\site-packages\\matplotlib\\transforms.py:775\u001b[0m, in \u001b[0;36mBbox.__init__\u001b[1;34m(self, points, **kwargs)\u001b[0m\n\u001b[0;32m 768\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 769\u001b[0m \u001b[39mParameters\u001b[39;00m\n\u001b[0;32m 770\u001b[0m \u001b[39m----------\u001b[39;00m\n\u001b[0;32m 771\u001b[0m \u001b[39mpoints : ndarray\u001b[39;00m\n\u001b[0;32m 772\u001b[0m \u001b[39m A 2x2 numpy array of the form ``[[x0, y0], [x1, y1]]``.\u001b[39;00m\n\u001b[0;32m 773\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 774\u001b[0m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39m\u001b[39m__init__\u001b[39m(\u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m--> 775\u001b[0m points \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(points, \u001b[39mfloat\u001b[39;49m)\n\u001b[0;32m 776\u001b[0m \u001b[39mif\u001b[39;00m points\u001b[39m.\u001b[39mshape \u001b[39m!=\u001b[39m (\u001b[39m2\u001b[39m, \u001b[39m2\u001b[39m):\n\u001b[0;32m 777\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39mBbox points must be of the form \u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m 778\u001b[0m \u001b[39m'\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m[[x0, y0], [x1, y1]]\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39m\u001b[39m'\u001b[39m)\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
"name": "stdout",
"output_type": "stream",
"text": [
"The cuboid reservoir has the following attributes: \n",
"----------------------------- \n",
"Base area = 74.0 m² \n",
"Outflux area = 0.636 m² \n",
"Current level = 8.0 m\n",
"Critical level low = 0.0 m \n",
"Critical level high = inf m \n",
"Volume in reservoir = 592.0 m³ \n",
"Current influx = 0.773 m³/s \n",
"Current outflux = 0.773 m³/s \n",
"Current outflux vel = 1.215 m/s \n",
"Current pipe pressure = 7.854 mWS \n",
"Simulation timestep = 0.001013 s \n",
"Density of liquid = 1000.0 kg/m³ \n",
"----------------------------- \n",
"\n",
"The pipeline has the following attributes: \n",
"----------------------------- \n",
"Length = 1013.0 m \n",
"Diameter = 0.9 m \n",
"Hydraulic head = 105.0 m \n",
"Number of segments = 50 \n",
"Number of nodes = 51 \n",
"Length per segments = 20.26 m \n",
"Pipeline angle = 0.104 rad \n",
"Pipeline angle = 5.95° \n",
"Darcy friction factor = 0.014 \n",
"Density of liquid = 1000.0 kg/m³ \n",
"Pressure wave vel. = 500.0 m/s \n",
"Simulation timestep = 0.04052 s \n",
"----------------------------- \n",
"Velocity and pressure distribution are vectors and are accessible by the .v and .p attribute of the pipeline object\n"
]
}
],
@@ -246,12 +278,12 @@
" plt.pause(0.000001)\n",
"\n",
"reservoir.get_info(full=True)\n",
"pipe.get_info(full=True)"
"pipe.get_info()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [