validation and KW Hammer Lastfälle
This commit is contained in:
Georg ´Brantegger
4
.gitignore
vendored
4
.gitignore
vendored
@@ -4,4 +4,6 @@
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*.pyc
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Messing Around/
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Messing Around/messy_nb.ipynb
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Validation Data/raw data Tieferbach/*.txt
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Validation Data/raw data Tieferbach/*.txt
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Druckrohrleitung/Gif Plots
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -22,7 +22,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -70,14 +70,14 @@
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" # for general simulation\n",
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"flux_init = Tur_Q_nenn/1.1 # [m³/s] initial flux through whole system for steady state initialization \n",
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"level_init = Con_targetLevel # [m] initial water level in upstream reservoir for steady state initialization\n",
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"simTime_target = 10. # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
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"simTime_target = 3. # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
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"nt = int(simTime_target//Pip_dt) # [1] Number of timesteps of the whole system\n",
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"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"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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@@ -94,7 +94,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -111,7 +111,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -156,7 +156,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -164,7 +164,7 @@
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"# Time loop\n",
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"\n",
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"# create a figure and subplots to display the velocity and pressure distribution across the pipeline in each pipeline step\n",
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"fig1,axs1 = plt.subplots(3,1)\n",
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"fig1,axs1 = plt.subplots(3,1, figsize=(16,9))\n",
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"fig1.suptitle(str(0) +' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
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"axs1[0].set_title('Pressure distribution in pipeline')\n",
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"axs1[0].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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@@ -195,7 +195,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -247,16 +247,24 @@
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" lo_2, = axs1[2].plot(Pip_x_vec,pipe.get_current_flux_distribution(),marker='.',c='blue')\n",
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" lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
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" lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
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" fig1.suptitle(str(round(t_vec[it_pipe],2))+ ' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
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" fig1.suptitle(str(round(t_vec[it_pipe]-1,2))+ ' s / '+str(round(t_vec[-1]-1,2)) + ' s' )\n",
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" fig1.canvas.draw()\n",
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" fig1.tight_layout()\n",
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" fig1.show()\n",
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" plt.pause(0.1) "
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" # if int(it_pipe/100) < 10:\n",
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" # figname = 'GIF Plots\\ GIF00'+str(int(it_pipe/100))+'.png'\n",
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" # elif int(it_pipe/100) < 100:\n",
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" # figname = 'GIF Plots\\ GIF0'+str(int(it_pipe/100))+'.png'\n",
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" # else:\n",
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" # figname = 'GIF Plots\\ GIF'+str(int(it_pipe/100))+'.png'\n",
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" # print(figname)\n",
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" # fig1.savefig(fname=figname)\n",
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" plt.pause(0.000001) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -292,7 +300,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.8.13 ('Georg_DT_Slot3')",
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"display_name": "Python 3.8.13 ('DT_Slot_3')",
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"language": "python",
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"name": "python3"
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},
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@@ -311,7 +319,7 @@
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "84fb123bdc47ab647d3782661abcbe80fbb79236dd2f8adf4cef30e8755eb2cd"
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"hash": "4a28055eb8a3160fa4c7e4fca69770c4e0a1add985300856aa3fcf4ce32a2c48"
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}
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}
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},
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330
KW Hammer.ipynb
330
KW Hammer.ipynb
@@ -2,7 +2,28 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 24,
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"0.4648308563541388\n",
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"1.9761415556839106\n",
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"0.4819009688403728\n"
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]
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}
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],
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"source": [
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"print(level_vec[0]-np.min(level_vec))\n",
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"print(level_vec[np.argmin(np.abs(t_vec-600))])\n",
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"print(np.max(level_vec)-level_vec[0])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -24,7 +45,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"i = 7\n",
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"j = 2\n",
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"\n",
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"Kp_list = np.arange(0.1,2.1,0.1)\n",
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"Area_list = np.arange(20.,140.,20.)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -48,14 +82,17 @@
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" # for KW UL\n",
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"UL_T1_Q_nenn = 3.75 # [m³/s] nominal flux of turbine \n",
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"UL_T1_p_nenn = pressure_conversion(2.711,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
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"UL_T1_closingTime = 80. # [s] closing time of turbine\n",
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"UL_T1_closingTime = 160. # [s] closing time of turbine\n",
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"\n",
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"UL_T2_Q_nenn = 3.75 # [m³/s] nominal flux of turbine \n",
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"UL_T2_p_nenn = pressure_conversion(2.711,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
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"UL_T2_closingTime = 80. # [s] closing time of turbine\n",
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"UL_T2_closingTime = 160. # [s] closing time of turbine\n",
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"\n",
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" # for PI controller\n",
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"Con_targetLevel = 2. # [m]\n",
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"Con_targetLevel = 2. # [m]\n",
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"Con_K_p = Kp_list[i] # [-] proportional constant of PI controller\n",
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"Con_T_i = 200. # [s] timespan in which a steady state error is corrected by the intergal term\n",
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"Con_deadbandRange = 0.00 # [m] Deadband range around targetLevel for which the controller does NOT intervene\n",
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"\n",
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" # for pipeline\n",
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"Pip_length = 2300. # [m] length of pipeline\n",
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@@ -74,7 +111,7 @@
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"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",
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"\n",
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" # for reservoir\n",
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"Res_area_base = 100. # [m²] total base are of the cuboid reservoir \n",
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"Res_area_base = Area_list[j] # [m²] total base are of the cuboid reservoir \n",
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"Res_area_out = Pip_area # [m²] outflux area of the reservoir, given by pipeline area\n",
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"Res_level_crit_lo = 0. # [m] for yet-to-be-implemented warnings\n",
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"Res_level_crit_hi = np.inf # [m] for yet-to-be-implemented warnings\n",
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@@ -86,14 +123,14 @@
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"# flux_init = (OL_T1_Q_nenn+OL_T2_Q_nenn) # [m³/s] initial flux through whole system for steady state initialization \n",
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"OL_LAs_init = [1.,0.3] # [vec] initial guide vane openings of OL-KW\n",
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"level_init = Con_targetLevel # [m] initial water level in upstream reservoir for steady state initialization\n",
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"simTime_target = 600. # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
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"simTime_target = 1200. # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
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"nt = int(simTime_target//Pip_dt) # [1] Number of timesteps of the whole system\n",
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"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"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -127,12 +164,16 @@
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"KW_UL.add_turbine(UL_T1)\n",
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"KW_UL.add_turbine(UL_T2)\n",
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"\n",
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"KW_UL.set_steady_state_by_flux(flux_init,pipe.get_current_pressure_distribution()[-1])\n"
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"KW_UL.set_steady_state_by_flux(flux_init,pipe.get_current_pressure_distribution()[-1])\n",
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"\n",
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"# level controller\n",
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"level_control = PI_controller_class(Con_targetLevel,Con_deadbandRange,Con_K_p,Con_T_i,Pip_dt)\n",
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"level_control.set_control_variable(UL_T1.get_current_LA(),display_warning=False)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": 17,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -177,10 +218,12 @@
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" # manual input to modulate influx\n",
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"OL_T1_LA_soll_vec = np.full_like(t_vec,OL_T1.get_current_LA()) # storing the target value for the guide van opening\n",
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"OL_T1_LA_soll_vec[np.argmin(np.abs(t_vec-100)):] = 0.\n",
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"OL_T1_LA_soll_vec[np.argmin(np.abs(t_vec-600)):] = 1.\n",
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"\n",
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"\n",
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"OL_T2_LA_soll_vec = np.full_like(t_vec,OL_T2.get_current_LA()) # storing the target value for the guide van opening\n",
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"\n",
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"\n",
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"OL_T1_LA_ist_vec = np.zeros_like(t_vec) # storing the actual value of the guide vane opening\n",
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"OL_T1_LA_ist_vec[0] = OL_T1.get_current_LA() # storing the initial value of the guide vane opening\n",
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"\n",
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@@ -188,11 +231,11 @@
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"OL_T2_LA_ist_vec[0] = OL_T2.get_current_LA() # storing the initial value of the guide vane opening\n",
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"\n",
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"# UL KW\n",
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"UL_T1_LA_soll_vec = np.full_like(t_vec,UL_T1.get_current_LA()) # storing the target value of the guide vane opening\n",
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"UL_T1_LA_soll_vec[np.argmin(np.abs(t_vec-105)):] -= 0.25\n",
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"UL_T1_LA_soll_vec = np.zeros_like(t_vec) # storing the target value of the guide vane opening\n",
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"UL_T1_LA_soll_vec[0] = UL_T1.get_current_LA()\n",
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"\n",
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"UL_T2_LA_soll_vec = np.full_like(t_vec,UL_T2.get_current_LA()) # storing the target value of the guide vane opening\n",
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"UL_T2_LA_soll_vec[np.argmin(np.abs(t_vec-105)):] = 0.\n",
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"UL_T2_LA_soll_vec = np.zeros_like(t_vec) # storing the target value of the guide vane opening\n",
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"UL_T2_LA_soll_vec[0] = UL_T2.get_current_LA()\n",
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"\n",
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"UL_T1_LA_ist_vec = np.zeros_like(t_vec) # storing the actual value of the guide vane opening\n",
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"UL_T1_LA_ist_vec[0] = UL_T1.get_current_LA() # storing the initial value of the guide vane opening\n",
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@@ -203,7 +246,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -225,49 +268,49 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": 19,
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib qt5\n",
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"# Time loop\n",
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"\n",
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"# create a figure and subplots to display the velocity and pressure distribution across the pipeline in each pipeline step\n",
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"fig1,axs1 = plt.subplots(3,1)\n",
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"fig1.suptitle(str(0) +' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
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"axs1[0].set_title('Pressure distribution in pipeline')\n",
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"axs1[0].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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"axs1[0].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
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"axs1[0].set_ylim([-2,50])\n",
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"axs1[1].set_title('Pressure distribution in pipeline \\n Difference to t=0')\n",
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"axs1[1].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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"axs1[1].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
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"axs1[1].set_ylim([-2,20])\n",
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"axs1[2].set_title('Flux distribution in pipeline')\n",
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"axs1[2].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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"axs1[2].set_ylabel(r'$Q$ [$\\mathrm{m}^3 / \\mathrm{s}$]')\n",
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"axs1[2].set_ylim([-1,10])\n",
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"lo_0, = axs1[0].plot(Pip_x_vec,pressure_conversion(p_old,pUnit_calc, pUnit_conv),marker='.')\n",
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"lo_0min, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
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"lo_0max, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
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"lo_1, = axs1[1].plot(Pip_x_vec,pressure_conversion(p_old-p_0,pUnit_calc, pUnit_conv),marker='.')\n",
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"lo_1min, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
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"lo_1max, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
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"lo_2, = axs1[1].plot(Pip_x_vec,Q_old,marker='.')\n",
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"lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
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"lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
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"# # create a figure and subplots to display the velocity and pressure distribution across the pipeline in each pipeline step\n",
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"# fig1,axs1 = plt.subplots(3,1)\n",
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"# fig1.suptitle(str(0) +' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
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"# axs1[0].set_title('Pressure distribution in pipeline')\n",
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"# axs1[0].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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"# axs1[0].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
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"# axs1[0].set_ylim([-2,50])\n",
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"# axs1[1].set_title('Pressure distribution in pipeline \\n Difference to t=0')\n",
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"# axs1[1].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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"# axs1[1].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
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"# axs1[1].set_ylim([-2,20])\n",
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"# axs1[2].set_title('Flux distribution in pipeline')\n",
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"# axs1[2].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
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"# axs1[2].set_ylabel(r'$Q$ [$\\mathrm{m}^3 / \\mathrm{s}$]')\n",
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"# axs1[2].set_ylim([-1,10])\n",
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"# lo_0, = axs1[0].plot(Pip_x_vec,pressure_conversion(p_old,pUnit_calc, pUnit_conv),marker='.')\n",
|
||||
"# lo_0min, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
|
||||
"# lo_0max, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
|
||||
"# lo_1, = axs1[1].plot(Pip_x_vec,pressure_conversion(p_old-p_0,pUnit_calc, pUnit_conv),marker='.')\n",
|
||||
"# lo_1min, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
|
||||
"# lo_1max, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
|
||||
"# lo_2, = axs1[1].plot(Pip_x_vec,Q_old,marker='.')\n",
|
||||
"# lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
|
||||
"# lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
|
||||
"\n",
|
||||
"# axs1[0].autoscale()\n",
|
||||
"# axs1[1].autoscale()\n",
|
||||
"# # axs1[0].autoscale()\n",
|
||||
"# # axs1[1].autoscale()\n",
|
||||
"\n",
|
||||
"fig1.tight_layout()\n",
|
||||
"fig1.show()\n",
|
||||
"plt.pause(1)\n"
|
||||
"# fig1.tight_layout()\n",
|
||||
"# fig1.show()\n",
|
||||
"# plt.pause(1)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -290,7 +333,11 @@
|
||||
" for it_res in range(Res_nt):\n",
|
||||
" reservoir.timestep_reservoir_evolution() \n",
|
||||
" level_vec[it_pipe] = reservoir.get_current_level() \n",
|
||||
" volume_vec[it_pipe] = reservoir.get_current_volume() \n",
|
||||
" volume_vec[it_pipe] = reservoir.get_current_volume() \n",
|
||||
"\n",
|
||||
" level_control.update_control_variable(level_vec[it_pipe])\n",
|
||||
" UL_T1_LA_soll_vec[it_pipe] = level_control.get_current_control_variable() \n",
|
||||
" UL_T2_LA_soll_vec[it_pipe] = level_control.get_current_control_variable() \n",
|
||||
" \n",
|
||||
" # change the guide vane opening based on the target value and closing time limitation\n",
|
||||
" KW_UL.update_LAs([UL_T1_LA_soll_vec[it_pipe],UL_T2_LA_soll_vec[it_pipe]])\n",
|
||||
@@ -322,115 +369,119 @@
|
||||
" v_old = pipe.get_current_velocity_distribution()\n",
|
||||
" Q_old = pipe.get_current_flux_distribution()\n",
|
||||
"\n",
|
||||
" # plot some stuff\n",
|
||||
" # remove line-objects to autoscale axes (there is definetly a better way, but this works ¯\\_(ツ)_/¯ )\n",
|
||||
" if it_pipe%50 == 0:\n",
|
||||
" lo_0.remove()\n",
|
||||
" lo_0min.remove()\n",
|
||||
" lo_0max.remove()\n",
|
||||
" lo_1.remove()\n",
|
||||
" lo_1min.remove()\n",
|
||||
" lo_1max.remove()\n",
|
||||
" lo_2.remove()\n",
|
||||
" lo_2min.remove()\n",
|
||||
" lo_2max.remove()\n",
|
||||
" # plot new pressure and velocity distribution in the pipeline\n",
|
||||
" lo_0, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_current_pressure_distribution(),pUnit_calc,pUnit_conv),marker='.',c='blue')\n",
|
||||
" lo_0min, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
|
||||
" lo_0max, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red') \n",
|
||||
" lo_1, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_current_pressure_distribution()-p_0,pUnit_calc,pUnit_conv),marker='.',c='blue')\n",
|
||||
" lo_1min, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
|
||||
" lo_1max, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
|
||||
" lo_2, = axs1[2].plot(Pip_x_vec,pipe.get_current_flux_distribution(),marker='.',c='blue')\n",
|
||||
" lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
|
||||
" lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
|
||||
" fig1.suptitle(str(round(t_vec[it_pipe],2))+ ' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
|
||||
" fig1.canvas.draw()\n",
|
||||
" fig1.tight_layout()\n",
|
||||
" fig1.show()\n",
|
||||
" plt.pause(0.1) "
|
||||
" # # plot some stuff\n",
|
||||
" # # remove line-objects to autoscale axes (there is definetly a better way, but this works ¯\\_(ツ)_/¯ )\n",
|
||||
" # if it_pipe%50 == 0:\n",
|
||||
" # lo_0.remove()\n",
|
||||
" # lo_0min.remove()\n",
|
||||
" # lo_0max.remove()\n",
|
||||
" # lo_1.remove()\n",
|
||||
" # lo_1min.remove()\n",
|
||||
" # lo_1max.remove()\n",
|
||||
" # lo_2.remove()\n",
|
||||
" # lo_2min.remove()\n",
|
||||
" # lo_2max.remove()\n",
|
||||
" # # plot new pressure and velocity distribution in the pipeline\n",
|
||||
" # lo_0, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_current_pressure_distribution(),pUnit_calc,pUnit_conv),marker='.',c='blue')\n",
|
||||
" # lo_0min, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
|
||||
" # lo_0max, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red') \n",
|
||||
" # lo_1, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_current_pressure_distribution()-p_0,pUnit_calc,pUnit_conv),marker='.',c='blue')\n",
|
||||
" # lo_1min, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
|
||||
" # lo_1max, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
|
||||
" # lo_2, = axs1[2].plot(Pip_x_vec,pipe.get_current_flux_distribution(),marker='.',c='blue')\n",
|
||||
" # lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
|
||||
" # lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
|
||||
" # fig1.suptitle(str(round(t_vec[it_pipe],2))+ ' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
|
||||
" # fig1.canvas.draw()\n",
|
||||
" # fig1.tight_layout()\n",
|
||||
" # fig1.show()\n",
|
||||
" # plt.pause(0.1) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"axs2.set_title('Level and Volume reservoir')\n",
|
||||
"axs2.plot(t_vec,level_vec,label='level')\n",
|
||||
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"axs2.set_ylabel(r'$h$ [m]')\n",
|
||||
"x_twin_00 = axs2.twinx()\n",
|
||||
"x_twin_00.set_ylabel(r'$V$ [$\\mathrm{m}^3$]')\n",
|
||||
"x_twin_00.plot(t_vec,volume_vec)\n",
|
||||
"axs2.legend()\n",
|
||||
"\n",
|
||||
"fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"axs2.set_title('LA')\n",
|
||||
"axs2.plot(t_vec,100*OL_T1_LA_soll_vec,label='OL_T1 Target',c='b')\n",
|
||||
"axs2.scatter(t_vec[::200],100*OL_T1_LA_ist_vec[::200],label='OL_T1 Actual',c='b',marker='+')\n",
|
||||
"axs2.plot(t_vec,100*OL_T2_LA_soll_vec,label='OL_T2 Target',c='g')\n",
|
||||
"axs2.scatter(t_vec[::200],100*OL_T2_LA_ist_vec[::200],label='OL_T2 Actual',c='g',marker='+')\n",
|
||||
"axs2.plot(t_vec,100*UL_T1_LA_soll_vec,label='UL_T1 Target',c='r')\n",
|
||||
"axs2.scatter(t_vec[::200],100*UL_T1_LA_ist_vec[::200],label='UL_T1 Actual',c='r',marker='+')\n",
|
||||
"axs2.plot(t_vec,100*UL_T2_LA_soll_vec,label='UL_T2 Target',c='k')\n",
|
||||
"axs2.scatter(t_vec[::200],100*UL_T2_LA_ist_vec[::200],label='UL_T2 Actual',c='k',marker='+')\n",
|
||||
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"axs2.set_ylabel(r'$LA$ [%]')\n",
|
||||
"axs2.legend()\n",
|
||||
"\n",
|
||||
"fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"axs2.set_title('Pressure change vs t=0 at reservoir and turbine')\n",
|
||||
"axs2.plot(t_vec,pressure_conversion(p_boundary_res-p_boundary_res[0],pUnit_calc, pUnit_conv),label='Reservoir')\n",
|
||||
"axs2.plot(t_vec,pressure_conversion(p_boundary_tur-p_boundary_tur[0],pUnit_calc, pUnit_conv),label='Turbine')\n",
|
||||
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"axs2.set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
|
||||
"axs2.legend()\n",
|
||||
"\n",
|
||||
"fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"axs2.set_title('Fluxes')\n",
|
||||
"axs2.plot(t_vec,Q_in_vec,label='Influx')\n",
|
||||
"axs2.plot(t_vec,Q_boundary_res,label='Outflux')\n",
|
||||
"axs2.scatter(t_vec[::200],Q_boundary_tur[::200],label='Flux Turbine',c='g',marker='+')\n",
|
||||
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"axs2.set_ylabel(r'$Q$ [$\\mathrm{m}^3/\\mathrm{s}$]')\n",
|
||||
"axs2.legend()\n",
|
||||
"\n",
|
||||
"fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"axs2.set_title('Min and Max Pressure')\n",
|
||||
"axs2.plot(Pip_x_vec,pipe.get_lowest_pressure_per_node(disp_flag=True),c='red')\n",
|
||||
"axs2.plot(Pip_x_vec,pipe.get_highest_pressure_per_node(disp_flag=True),c='red')\n",
|
||||
"axs2.set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
|
||||
"axs2.set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
|
||||
"# fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"# axs2.set_title('Level and Volume reservoir')\n",
|
||||
"# axs2.plot(t_vec,level_vec,label='level')\n",
|
||||
"# axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"# axs2.set_ylabel(r'$h$ [m]')\n",
|
||||
"# x_twin_00 = axs2.twinx()\n",
|
||||
"# x_twin_00.set_ylabel(r'$V$ [$\\mathrm{m}^3$]')\n",
|
||||
"# x_twin_00.plot(t_vec,volume_vec)\n",
|
||||
"# axs2.legend()\n",
|
||||
"\n",
|
||||
"# fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"# axs2.set_title('Min and Max Fluxes')\n",
|
||||
"# axs2.plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
|
||||
"# axs2.plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
|
||||
"# axs2.set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
|
||||
"# axs2.set_title('LA')\n",
|
||||
"# axs2.plot(t_vec,100*OL_T1_LA_soll_vec,label='OL_T1 Target',c='b')\n",
|
||||
"# axs2.scatter(t_vec[::200],100*OL_T1_LA_ist_vec[::200],label='OL_T1 Actual',c='b',marker='+')\n",
|
||||
"# axs2.plot(t_vec,100*OL_T2_LA_soll_vec,label='OL_T2 Target',c='g')\n",
|
||||
"# axs2.scatter(t_vec[::200],100*OL_T2_LA_ist_vec[::200],label='OL_T2 Actual',c='g',marker='+')\n",
|
||||
"# axs2.plot(t_vec,100*UL_T1_LA_soll_vec,label='UL_T1 Target',c='r')\n",
|
||||
"# axs2.scatter(t_vec[::200],100*UL_T1_LA_ist_vec[::200],label='UL_T1 Actual',c='r',marker='+')\n",
|
||||
"# axs2.plot(t_vec,100*UL_T2_LA_soll_vec,label='UL_T2 Target',c='k')\n",
|
||||
"# axs2.scatter(t_vec[::200],100*UL_T2_LA_ist_vec[::200],label='UL_T2 Actual',c='k',marker='+')\n",
|
||||
"# axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"# axs2.set_ylabel(r'$LA$ [%]')\n",
|
||||
"# axs2.legend()\n",
|
||||
"\n",
|
||||
"# fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"# axs2.set_title('Pressure change vs t=0 at reservoir and turbine')\n",
|
||||
"# axs2.plot(t_vec,pressure_conversion(p_boundary_res-p_boundary_res[0],pUnit_calc, pUnit_conv),label='Reservoir')\n",
|
||||
"# axs2.plot(t_vec,pressure_conversion(p_boundary_tur-p_boundary_tur[0],pUnit_calc, pUnit_conv),label='Turbine')\n",
|
||||
"# axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"# axs2.set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
|
||||
"# axs2.legend()\n",
|
||||
"\n",
|
||||
"# fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"# axs2.set_title('Fluxes')\n",
|
||||
"# axs2.plot(t_vec,Q_in_vec,label='Influx')\n",
|
||||
"# axs2.plot(t_vec,Q_boundary_res,label='Outflux')\n",
|
||||
"# axs2.scatter(t_vec[::200],Q_boundary_tur[::200],label='Flux Turbine',c='g',marker='+')\n",
|
||||
"# axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"# axs2.set_ylabel(r'$Q$ [$\\mathrm{m}^3/\\mathrm{s}$]')\n",
|
||||
"# axs2.legend()\n",
|
||||
"\n",
|
||||
"# fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"# axs2.set_title('Min and Max Pressure')\n",
|
||||
"# axs2.plot(Pip_x_vec,pipe.get_lowest_pressure_per_node(disp_flag=True),c='red')\n",
|
||||
"# axs2.plot(Pip_x_vec,pipe.get_highest_pressure_per_node(disp_flag=True),c='red')\n",
|
||||
"# axs2.set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
|
||||
"# axs2.set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
|
||||
"\n",
|
||||
"# # fig2,axs2 = plt.subplots(1,1)\n",
|
||||
"# # axs2.set_title('Min and Max Fluxes')\n",
|
||||
"# # axs2.plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
|
||||
"# # axs2.plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
|
||||
"# # axs2.set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
|
||||
"# # axs2.set_ylabel(r'$Q$ [$\\mathrm{m}^3/\\mathrm{s}$]')\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"fig2.tight_layout()\n",
|
||||
"plt.show()"
|
||||
"# fig2.tight_layout()\n",
|
||||
"# plt.show()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 32,
|
||||
"execution_count": 22,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"fig3,axs3 = plt.subplots(2,2)\n",
|
||||
"\n",
|
||||
"fig3,axs3 = plt.subplots(2,2,figsize=(16,9))\n",
|
||||
"fig3.suptitle('Fläche = '+str(Res_area_base)+'\\n'+'Kp = '+str(round(Con_K_p,1))+' Ti = '+str(Con_T_i) )\n",
|
||||
"axs3[0,0].set_title('Level and Volume reservoir')\n",
|
||||
"axs3[0,0].plot(t_vec,level_vec,label='level')\n",
|
||||
"axs3[0,0].set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
|
||||
"axs3[0,0].set_ylabel(r'$h$ [m]')\n",
|
||||
"axs3[0,0].set_ylim(0,3.5)\n",
|
||||
"x_twin_00 = axs3[0,0].twinx()\n",
|
||||
"x_twin_00.set_ylabel(r'$V$ [$\\mathrm{m}^3$]')\n",
|
||||
"x_twin_00.plot(t_vec,volume_vec)\n",
|
||||
"x_twin_00.set_ylim(0,3.5*Res_area_base)\n",
|
||||
"axs3[0,0].legend()\n",
|
||||
"\n",
|
||||
"axs3[0,1].set_title('LA')\n",
|
||||
@@ -462,30 +513,37 @@
|
||||
"axs3[1,1].legend()\n",
|
||||
"\n",
|
||||
"fig3.tight_layout()\n",
|
||||
"plt.show()"
|
||||
"plt.show()\n",
|
||||
"\n",
|
||||
"figname = 'Simulation Hammer\\KW_Hammer_Fläche_'+str(Res_area_base)+'_Ti_'+str(Con_T_i)+'_Kp'+str(round(Con_K_p,1))+'.png'\n",
|
||||
"fig3.savefig(figname)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 33,
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"0.015478260869565217\n"
|
||||
"0.42240906887823404\n",
|
||||
"1.9673287975884344\n",
|
||||
"0.43120621785509305\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(np.sin(Pip_angle))"
|
||||
"print(level_vec[0]-np.min(level_vec))\n",
|
||||
"print(level_vec[np.argmin(np.abs(t_vec-600))])\n",
|
||||
"print(np.max(level_vec)-level_vec[0])"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3.8.13 ('Georg_DT_Slot3')",
|
||||
"display_name": "Python 3.8.13 ('DT_Slot_3')",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
@@ -504,7 +562,7 @@
|
||||
"orig_nbformat": 4,
|
||||
"vscode": {
|
||||
"interpreter": {
|
||||
"hash": "84fb123bdc47ab647d3782661abcbe80fbb79236dd2f8adf4cef30e8755eb2cd"
|
||||
"hash": "4a28055eb8a3160fa4c7e4fca69770c4e0a1add985300856aa3fcf4ce32a2c48"
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
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@@ -2,7 +2,7 @@
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 11,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -14,7 +14,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -37,7 +37,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"execution_count": 13,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -46,7 +46,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -56,7 +56,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"execution_count": 15,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -71,12 +71,13 @@
|
||||
"UT_M1_p = UT_df['UL_T1_p'].to_numpy()\n",
|
||||
"UT_M2_p = UT_df['UL_T2_p'].to_numpy()\n",
|
||||
"UT_M1_LA = UT_df['UL_T1_LA'].to_numpy()\n",
|
||||
"UT_M2_LA = UT_df['UL_T2_LA'].to_numpy()"
|
||||
"UT_M2_LA = UT_df['UL_T2_LA'].to_numpy()\n",
|
||||
"UT_Ausl = UT_df['Ausl'].to_numpy()\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"execution_count": 16,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -85,7 +86,7 @@
|
||||
"(1657542740.9878564, 1657553169.3173888)"
|
||||
]
|
||||
},
|
||||
"execution_count": 21,
|
||||
"execution_count": 16,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -116,30 +117,21 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "TypeError",
|
||||
"evalue": "Cannot construct a dtype from an array",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mv:\\georg\\Documents\\Persönliche Dokumente\\Arbeit\\Kelag\\Coding\\Python\\DT_Slot_3\\Kelag_DT_Slot_3\\Validation Data\\consolidated pandas dataframes\\consolidate_validation_data.ipynb Cell 7\u001b[0m in \u001b[0;36m<cell line: 7>\u001b[1;34m()\u001b[0m\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/consolidated%20pandas%20dataframes/consolidate_validation_data.ipynb#X10sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m fig \u001b[39m=\u001b[39m plt\u001b[39m.\u001b[39mfigure()\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/consolidated%20pandas%20dataframes/consolidate_validation_data.ipynb#X10sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m plt\u001b[39m.\u001b[39mplot(UT_t_vec[mask_UT],TB_level[mask_UT])\n\u001b[1;32m----> <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/consolidated%20pandas%20dataframes/consolidate_validation_data.ipynb#X10sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m validation_data_UT \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49marray([UT_t_vec[mask_UT],UT_M1_LA[mask_UT],UT_M2_LA[mask_UT],UT_M1_p[mask_UT],UT_M2_p[mask_UT]],TB_level[mask_UT])\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/consolidated%20pandas%20dataframes/consolidate_validation_data.ipynb#X10sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m validation_data_TB \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([TB_t_vec[mask_TB],TB_M1_LA[mask_TB],TB_M2_LA[mask_TB],TB_M1_p[mask_TB],TB_M2_p[mask_TB]])\n",
|
||||
"\u001b[1;31mTypeError\u001b[0m: Cannot construct a dtype from an array"
|
||||
]
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"mask_UT = np.logical_and(t1<UT_t_vec,UT_t_vec <t2)\n",
|
||||
"mask_TB = np.logical_and(t1<TB_t_vec,TB_t_vec <t2)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"fig = plt.figure()\n",
|
||||
"plt.plot(UT_t_vec[mask_UT],TB_level[mask_UT])\n",
|
||||
"validation_data_UT = np.array([UT_t_vec[mask_UT];UT_M1_LA[mask_UT];UT_M2_LA[mask_UT];UT_M1_p[mask_UT];UT_M2_p[mask_UT]];TB_level[mask_UT])\n",
|
||||
"validation_data_TB = np.array([TB_t_vec[mask_TB];TB_M1_LA[mask_TB];TB_M2_LA[mask_TB];TB_M1_p[mask_TB];TB_M2_p[mask_TB]])"
|
||||
"\n",
|
||||
"validation_data_UT = UT_df[mask_UT]\n",
|
||||
"validation_data_TB = TB_df[mask_TB]\n",
|
||||
"\n",
|
||||
"validation_data_UT.to_csv('Validation_data_UT.csv')\n",
|
||||
"validation_data_TB.to_csv('Validation_data_TB.csv')\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
61313
Validation Data/raw data Untertweng/AL_SeitAuslPos.txt
Normal file
61313
Validation Data/raw data Untertweng/AL_SeitAuslPos.txt
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@@ -35,7 +35,7 @@
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"C:\\Users\\georg\\AppData\\Local\\Temp\\ipykernel_29732\\1290488230.py:2: ParserWarning: Length of header or names does not match length of data. This leads to a loss of data with index_col=False.\n",
|
||||
"C:\\Users\\georg\\AppData\\Local\\Temp\\ipykernel_24336\\3411177260.py:2: ParserWarning: Length of header or names does not match length of data. This leads to a loss of data with index_col=False.\n",
|
||||
" raw_data = pd.read_csv(\"2015_08_25 15.20 M12 SS100%.csv\",sep=\";\",header=7,index_col=False)\n"
|
||||
]
|
||||
}
|
||||
@@ -53,7 +53,7 @@
|
||||
"df['M1-LA'] = pd.to_numeric(raw_data['M1-LA'])/100\n",
|
||||
"df['M2-LA'] = pd.to_numeric(raw_data['M2-LA'])/100\n",
|
||||
"df['Druck'] = pd.to_numeric(raw_data['P-DRL'])\n",
|
||||
"df['Pegel'] = pd.to_numeric(raw_data['Pegel-UW'])\n",
|
||||
"df['Pegel'] = pd.to_numeric(raw_data['PEGEL-UW'])\n",
|
||||
"\n",
|
||||
"val_t_vec_raw = np.array(df['timestamp']-df['timestamp'][0])\n",
|
||||
"val_LA1_vec_raw = np.array(df['M1-LA']) \n",
|
||||
@@ -501,7 +501,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[<matplotlib.lines.Line2D at 0x1e74e242940>]"
|
||||
"[<matplotlib.lines.Line2D at 0x18a94bcf820>]"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
|
||||
@@ -21,7 +21,8 @@
|
||||
"M1_p_df = pd.read_csv('M1_Druck.txt',delimiter=';')\n",
|
||||
"M2_p_df = pd.read_csv('M2_Druck.txt',delimiter=';')\n",
|
||||
"M1_LA_df = pd.read_csv('M1_LA.txt',delimiter=';')\n",
|
||||
"M2_LA_df = pd.read_csv('M2_LA.txt',delimiter=';')"
|
||||
"M2_LA_df = pd.read_csv('M2_LA.txt',delimiter=';')\n",
|
||||
"Ausl_df = pd.read_csv('AL_SeitAuslPos.txt',delimiter=';')"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -34,7 +35,8 @@
|
||||
"M1_p_df['Timestamp'] = M1_p_df['TIMESTAMP UNIX']+M1_p_df['TIMESTAMP MS']/1000.\n",
|
||||
"M2_p_df['Timestamp'] = M2_p_df['TIMESTAMP UNIX']+M2_p_df['TIMESTAMP MS']/1000.\n",
|
||||
"M1_LA_df['Timestamp'] = M1_LA_df['TIMESTAMP UNIX']+M1_LA_df['TIMESTAMP MS']/1000.\n",
|
||||
"M2_LA_df['Timestamp'] = M2_LA_df['TIMESTAMP UNIX']+M2_LA_df['TIMESTAMP MS']/1000."
|
||||
"M2_LA_df['Timestamp'] = M2_LA_df['TIMESTAMP UNIX']+M2_LA_df['TIMESTAMP MS']/1000.\n",
|
||||
"Ausl_df['Timestamp'] = Ausl_df['TIMESTAMP UNIX']+Ausl_df['TIMESTAMP MS']/1000."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -47,7 +49,8 @@
|
||||
"M1_p_df.set_index('Timestamp',inplace=True)\n",
|
||||
"M2_p_df.set_index('Timestamp',inplace=True)\n",
|
||||
"M1_LA_df.set_index('Timestamp',inplace=True)\n",
|
||||
"M2_LA_df.set_index('Timestamp',inplace=True)"
|
||||
"M2_LA_df.set_index('Timestamp',inplace=True)\n",
|
||||
"Ausl_df.set_index('Timestamp',inplace=True)"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -61,12 +64,14 @@
|
||||
"M2_p_df.drop(columns=['VARIABLE','TIMESTAMP UNIX', 'TIMESTAMP MS'],inplace=True)\n",
|
||||
"M1_LA_df.drop(columns=['VARIABLE','TIMESTAMP UNIX', 'TIMESTAMP MS'],inplace=True)\n",
|
||||
"M2_LA_df.drop(columns=['VARIABLE','TIMESTAMP UNIX', 'TIMESTAMP MS'],inplace=True)\n",
|
||||
"Ausl_df.drop(columns=['VARIABLE','TIMESTAMP UNIX', 'TIMESTAMP MS'],inplace=True)\n",
|
||||
"\n",
|
||||
"pegel_df.rename(columns={'VALUE': 'TB-Pegel'},inplace=True)\n",
|
||||
"M1_p_df.rename(columns={'VALUE': 'M1-Druck'},inplace=True)\n",
|
||||
"M2_p_df.rename(columns={'VALUE': 'M2-Druck'},inplace=True)\n",
|
||||
"M1_LA_df.rename(columns={'VALUE': 'M1-LA'},inplace=True)\n",
|
||||
"M2_LA_df.rename(columns={'VALUE': 'M2-LA'},inplace=True)\n"
|
||||
"M2_LA_df.rename(columns={'VALUE': 'M2-LA'},inplace=True)\n",
|
||||
"Ausl_df.rename(columns={'VALUE': 'Ausl'},inplace=True)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -75,7 +80,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"UT_df = pegel_df.join([M1_LA_df,M1_p_df,M2_LA_df,M2_p_df],how='outer').sort_index()"
|
||||
"UT_df = pegel_df.join([M1_LA_df,M1_p_df,M2_LA_df,M2_p_df,Ausl_df],how='outer').sort_index()"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Reference in New Issue
Block a user