From 98cdc3d18d7ed94a3fc13f3490bea66db5569e6d Mon Sep 17 00:00:00 2001 From: PhillipRambo Date: Tue, 17 Feb 2026 16:08:52 +0100 Subject: [PATCH] push new plot logic --- .../python/post_processing.ipynb | 221 +++++++++-------- .../python/figs/core/AvvsIP_Tcon&Core.png | Bin 73429 -> 13155 bytes .../python/figs/core/IPvsOP_Tcon&Core.png | Bin 65583 -> 8961 bytes .../python/post_processing.ipynb | 226 +++++++++--------- 4 files changed, 228 insertions(+), 219 deletions(-) diff --git a/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb b/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb index 00520185..54c4a8bd 100644 --- a/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb +++ b/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb @@ -13,9 +13,6 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import os\n", - "import scienceplots\n", - "plt.style.use(['science', 'ieee'])\n", - "# creates figs directory\n", "output_dir = 'figs'\n", "if not os.path.exists(output_dir):\n", " os.makedirs(output_dir)" @@ -24,90 +21,114 @@ { "cell_type": "code", "execution_count": 2, - "id": "516d79b6-39fd-4227-9ae8-0846fa1b1dce", - "metadata": {}, + "id": "dfa082c2-2bf2-48a6-8dbd-cefd4e11a3f1", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, "outputs": [], "source": [ - "# Read CSV data (change paths accordingly)\n", - "Iin_csv = pd.read_csv('../schematic/load_pull_2/csv/IPR2.csv', delimiter=';', comment='#')\n", - "Iout_csv = pd.read_csv('../schematic/load_pull_2/csv/IPR3.csv', delimiter=';', comment='#')\n", - "Vin_csv = pd.read_csv('../schematic/load_pull_2/csv/Vin.csv', delimiter=';', comment='#')\n", - "Vout_csv = pd.read_csv('../schematic/load_pull_2/csv/Vout.csv', delimiter=';', comment='#')\n", + "# --- helpers ---\n", + "def read_xyce_csv(path):\n", + " return pd.read_csv(path, delimiter=';', comment='#')\n", "\n", - "# Initialize an empty DataFrame with the correct number of rows based on Iin_csv\n", - "power_df = pd.DataFrame({\n", - " 'Freq': Iin_csv['FREQ'],\n", - " 'P_in': np.zeros(len(Iin_csv)), # Preallocate with zeros\n", - " 'P_out': np.zeros(len(Iin_csv)) # Preallocate with zeros\n", - "})\n" + "def complex_from_cols(df, real_col, imag_col):\n", + " # Vectorized: returns numpy complex array\n", + " return df[real_col].to_numpy() + 1j * df[imag_col].to_numpy()\n", + "\n", + "def mag_phase(z):\n", + " # z: complex numpy array\n", + " return np.abs(z), np.degrees(np.angle(z))\n", + "\n", + "def at_freq(df, freq):\n", + " return df.loc[df[\"Freq\"].eq(freq)].copy()\n", + "\n", + "def power_dbm(I, V, Vph_deg, Iph_deg):\n", + " # Same logic: P = I*V*cos(phiV - phiI), then dBm, then +3\n", + " p_w = I * V * np.cos(np.radians(Vph_deg - Iph_deg))\n", + " return 10 * np.log10(p_w * 1000) + 3" ] }, { "cell_type": "code", "execution_count": 3, - "id": "316d8b41-547d-4167-9807-a82d2ec0c8a7", + "id": "516d79b6-39fd-4227-9ae8-0846fa1b1dce", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/pedersen/.local/lib/python3.10/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: invalid value encountered in log10\n", - " result = getattr(ufunc, method)(*inputs, **kwargs)\n", - "/home/pedersen/.local/lib/python3.10/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: invalid value encountered in log10\n", - " result = getattr(ufunc, method)(*inputs, **kwargs)\n" - ] - } - ], + "outputs": [], "source": [ - "# Create complex voltage and current arrays\n", - "vin_complex = []\n", - "vout_complex = []\n", - "Iout_complex = []\n", - "Iin_complex = []\n", + "# --- file paths ---\n", + "base = \"../schematic/compression_1/csv/\"\n", + "paths = {\n", + " \"Iin\": f\"{base}/IPR2.csv\",\n", + " \"Iout\": f\"{base}/IPR3.csv\",\n", + " \"Vin\": f\"{base}/Vin.csv\",\n", + " \"Vout\": f\"{base}/Vout.csv\",\n", + "}\n", "\n", - "# Populate the complex lists\n", - "for i in range(len(Vin_csv['r xyce/V(VIN)'])):\n", - " vin_complex.append(complex(Vin_csv['r xyce/V(VIN)'][i], Vin_csv['i xyce/V(VIN)'][i]))\n", - " vout_complex.append(complex(Vout_csv['r xyce/V(VOUT)'][i], Vout_csv['i xyce/V(VOUT)'][i]))\n", - " Iout_complex.append(complex(Iout_csv['r xyce/I(PR3)'][i], Iout_csv['i xyce/I(PR3)'][i]))\n", - " Iin_complex.append(complex(Iin_csv['r xyce/I(PR2)'][i], Iin_csv['i xyce/I(PR2)'][i]))\n", + "# --- read CSVs ---\n", + "Iin_df = read_xyce_csv(paths[\"Iin\"])\n", + "Iout_df = read_xyce_csv(paths[\"Iout\"])\n", + "Vin_df = read_xyce_csv(paths[\"Vin\"])\n", + "Vout_df = read_xyce_csv(paths[\"Vout\"])\n", "\n", + "# --- build complex signals ---\n", + "vin = complex_from_cols(Vin_df, \"r xyce/V(VIN)\", \"i xyce/V(VIN)\")\n", + "vout = complex_from_cols(Vout_df, \"r xyce/V(VOUT)\", \"i xyce/V(VOUT)\")\n", + "iin = complex_from_cols(Iin_df, \"r xyce/I(PR2)\", \"i xyce/I(PR2)\")\n", + "iout = complex_from_cols(Iout_df, \"r xyce/I(PR3)\", \"i xyce/I(PR3)\")\n", "\n", - "# Calculate the power and store it in the DataFrame\n", - "for i in range(len(vin_complex)):\n", - " P_in = 2* np.real(vin_complex[i] * np.conj(Iin_complex[i]))\n", - " P_out = 2* np.real(vout_complex[i] * np.conj(Iout_complex[i]))\n", - " \n", - " # Update the DataFrame using loc to avoid warnings\n", - " power_df.loc[i, 'P_in'] = P_in\n", - " power_df.loc[i, 'P_out'] = P_out\n", + "Vin_mag, Vin_ph = mag_phase(vin)\n", + "Vout_mag, Vout_ph = mag_phase(vout)\n", + "Iin_mag, Iin_ph = mag_phase(iin)\n", + "Iout_mag, Iout_ph = mag_phase(iout)\n", "\n", - "#inserting the input current output current input voltage and output voltage into the dataframe to keep everything in one place\n", - "power_df['Iin'] = Iin_complex\n", - "power_df['Iout'] = Iout_complex\n", - "power_df['Vin'] = vin_complex\n", - "power_df['Vout'] = vout_complex\n", - "power_df['Pindbm'] = 10*np.log10(power_df['P_in']*1000)\n", - "power_df['Poutdbm'] = 10*np.log10(power_df['P_out']*1000)\n", + "# --- assemble dataframe (same fields you had) ---\n", + "power_df = pd.DataFrame({\n", + " \"Freq\": Iin_df[\"FREQ\"],\n", "\n", - "def make_df_for_freq(df,freq):\n", - " return df[df['Freq'] == freq]\n", + " \"Vin_magnitude\": Vin_mag,\n", + " \"Vin_phase\": Vin_ph,\n", + " \"Vout_magnitude\": Vout_mag,\n", + " \"Vout_phase\": Vout_ph,\n", + " \"Iin_magnitude\": Iin_mag,\n", + " \"Iin_phase\": Iin_ph,\n", + " \"Iout_magnitude\": Iout_mag,\n", + " \"Iout_phase\": Iout_ph,\n", "\n", - "df_50_ghz = make_df_for_freq(power_df,50e9)" + " \"Vin_real\": np.real(vin),\n", + " \"Vin_imag\": np.imag(vin),\n", + " \"Iin_real\": np.real(iin),\n", + " \"Iin_imag\": np.imag(iin),\n", + "})\n", + "\n", + "# --- filter and compute powers ---\n", + "Fref_of_interest = 50e9\n", + "df_50_ghz = at_freq(power_df, Fref_of_interest)\n", + "\n", + "RMS = False\n", + "scale = (1 / np.sqrt(2)) if RMS else 1.0\n", + "\n", + "Iin = df_50_ghz[\"Iin_magnitude\"] * scale\n", + "Vin = df_50_ghz[\"Vin_magnitude\"] * scale\n", + "Iout = df_50_ghz[\"Iout_magnitude\"] * scale\n", + "Vout = df_50_ghz[\"Vout_magnitude\"] * scale\n", + "\n", + "df_50_ghz[\"Output_Power_dbm\"] = power_dbm(Iout, Vout, df_50_ghz[\"Vout_phase\"], df_50_ghz[\"Iout_phase\"])\n", + "df_50_ghz[\"Input_power_calc_dbm\"] = power_dbm(Iin, Vin, df_50_ghz[\"Vin_phase\"], df_50_ghz[\"Iin_phase\"])\n" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "id": "e343b9df-5262-4686-820e-93d0bb26da71", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -115,17 +136,16 @@ } ], "source": [ - "#plotting the Output power vs Input power for 50 GHz\n", - "plt.figure(figsize=(2, 2))\n", - "plt.plot(df_50_ghz['Pindbm'].values, df_50_ghz['Poutdbm'].values)\n", - "plt.xlabel('Input Power (dBm)')\n", - "plt.ylabel('Output Power (dBm)')\n", - "plt.title('Input Power vs Output Power for 50 GHz')\n", - "plt.xlim(-20, -0)\n", - "plt.ylim(0, 14)\n", - "plt.grid()\n", - "plot_path = os.path.join(output_dir, 'output power vs input.png')\n", - "plt.savefig(plot_path, dpi=300)\n", + "df_50_ghz.plot(\n", + " x=\"Input_power_calc_dbm\",\n", + " y=\"Output_Power_dbm\",\n", + " figsize=(2, 2),\n", + " grid=True,\n", + " legend=False,\n", + " xlabel=\"Input Power (dBm)\",\n", + " ylabel=\"Output Power (dBm)\",\n", + " title=\"Input Power vs Output Power for 50 GHz\"\n", + ")\n", "plt.show()\n" ] }, @@ -137,9 +157,9 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -147,50 +167,29 @@ } ], "source": [ - "# Ensure the index is reset to default integer-based index\n", - "df_50_ghz = df_50_ghz.reset_index(drop=True)\n", + "Pi = df_50_ghz[\"Input_power_calc_dbm\"].to_numpy()\n", + "Gain_db = (df_50_ghz[\"Output_Power_dbm\"] - df_50_ghz[\"Input_power_calc_dbm\"]).to_numpy()\n", "\n", - "# Continue with the existing calculation\n", - "Gain_db = df_50_ghz['Poutdbm'] - df_50_ghz['Pindbm']\n", "max_gain = Gain_db.max()\n", - "max_gain_array = np.full(len(df_50_ghz['Pindbm']), max_gain)\n", - "max_gain_array_subtract = max_gain_array - Gain_db\n", - "max_gain_final = max_gain_array_subtract - 1\n", - "P1db_curve = abs(max_gain_final)\n", - "P1db_index = np.argmin(P1db_curve)\n", "\n", - "# Use the new reset index to access values\n", - "Po_p1db = np.array(P1db_curve)[P1db_index]\n", - "Pi_p1db = df_50_ghz['Pindbm'][P1db_index]\n", + "P1db_index = np.argmin(np.abs(max_gain - Gain_db - 1))\n", + "Pi_p1db = Pi[P1db_index]\n", "\n", - "# Extract the maximum value for Gain_db\n", - "max_gain_db = Gain_db.max()\n", + "fig, ax = plt.subplots(figsize=(2, 2))\n", "\n", - "# Plot Gain vs. Input Power\n", - "plt.figure(figsize=(2,2))\n", - "plt.plot(np.array(df_50_ghz['Pindbm']), np.array(Gain_db), label=f'Gain (max = {max_gain_db:.2f} dB)')\n", - "#plt.plot(df_50_ghz['Pindbm'], P1db_curve, label=f'P1dB (P1dB = {Pi_p1db:.2f} dBm)')\n", - "# Add a vertical line at the P1dB point\n", - "plt.axvline(x=Pi_p1db, color='red', linestyle='--', label=f'P1dB = {Pi_p1db:.2f} dBm')\n", + "ax.plot(Pi, Gain_db, label=f\"Gain (max = {max_gain:.2f} dB)\")\n", + "ax.axvline(Pi_p1db, color=\"red\", linestyle=\"--\", label=f\"P1dB = {Pi_p1db:.2f} dBm\")\n", + "ax.axhline(max_gain, color=\"blue\", linestyle=\"--\", label=f\"Max Gain = {max_gain:.2f} dB\")\n", "\n", - "# Add a horizontal line at the maximum Gain_db value\n", - "plt.axhline(y=max_gain_db, color='blue', linestyle='--', label=f'Max Gain = {max_gain_db:.2f} dB')\n", + "ax.set(\n", + " xlabel=\"Input Power (dBm)\",\n", + " ylabel=\"Gain (dB)\",\n", + " title=\"Av vs IP at 50 GHz\"\n", + ")\n", "\n", - "# Set labels and title\n", - "plt.xlabel(\"Input Power (dBm)\")\n", - "plt.ylabel(\"Gain (dB)\")\n", - "plt.title(f\"Av vs IP at {50e9/1e9} GHz\")\n", - "\n", - "# Set x-axis limits\n", - "plt.xlim(-20, 0)\n", - "plt.ylim(12,15)\n", - "\n", - "# Add grid, legend, and show the plot\n", - "plt.legend(fontsize=6)\n", - "plt.grid()\n", - "plot_path = os.path.join(output_dir, 'gain_vs_input_power.png')\n", - "plt.savefig(plot_path, dpi=300)\n", - "plt.show()" + "ax.grid(True)\n", + "ax.legend(fontsize=6)\n", + "plt.show()\n" ] }, { diff --git a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/figs/core/AvvsIP_Tcon&Core.png b/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/figs/core/AvvsIP_Tcon&Core.png index 5e21fb80f7f883900e24c828d0bc396f6359e21a..eeb5865974a053fe0df102e9ca7412c2be673376 100644 GIT binary patch literal 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" ] }, "metadata": {}, @@ -155,30 +168,32 @@ } ], "source": [ - "#plotting the Output power vs Input power for 50 GHz\n", - "plt.figure(figsize=(2, 2))\n", - "plt.plot(df_50_ghz['Input_power_calc_dbm'].values, df_50_ghz['Output_Power_dbm'].values)\n", - "plt.xlabel('Input Power (dBm)')\n", - "plt.ylabel('Output Power (dBm)')\n", - "plt.title('Input Power vs Output Power for 50 GHz')\n", - "plt.xlim(-10, 10)\n", - "plt.ylim(-5, 15)\n", - "plt.grid()\n", - "plt.savefig('figs/core/IPvsOP_Tcon&Core.png')\n", + "df_50_ghz.plot(\n", + " x=\"Input_power_calc_dbm\",\n", + " y=\"Output_Power_dbm\",\n", + " figsize=(2, 2),\n", + " grid=True,\n", + " legend=False,\n", + " xlabel=\"Input Power (dBm)\",\n", + " ylabel=\"Output Power (dBm)\",\n", + " title=\"Input Power vs Output Power for 50 GHz\"\n", + ")\n", + "\n", + "plt.savefig(\"figs/core/IPvsOP_Tcon&Core.png\")\n", "plt.show()\n" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 7, "id": 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", 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", 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" + "
" ] }, "metadata": {}, @@ -186,36 +201,31 @@ } ], "source": [ - "df_50_ghz = df_50_ghz.reset_index(drop=True)\n", - "Gain_db = df_50_ghz['Output_Power_dbm'] - df_50_ghz['Input_power_calc_dbm']\n", + "Pi = df_50_ghz[\"Input_power_calc_dbm\"].to_numpy()\n", + "Gain_db = (df_50_ghz[\"Output_Power_dbm\"] - df_50_ghz[\"Input_power_calc_dbm\"]).to_numpy()\n", + "\n", "max_gain = Gain_db.max()\n", "\n", - "max_gain_final = max_gain - Gain_db - 1\n", - "P1db_curve = np.abs(max_gain_final)\n", - "P1db_index = np.argmin(P1db_curve)\n", + "P1db_index = np.argmin(np.abs(max_gain - Gain_db - 1))\n", + "Pi_p1db = Pi[P1db_index]\n", "\n", - "Po_p1db = P1db_curve[P1db_index]\n", - "Pi_p1db = df_50_ghz['Input_power_calc_dbm'][P1db_index]\n", - "max_gain_db = max_gain\n", + "fig, ax = plt.subplots(figsize=(2, 2))\n", "\n", - "plt.figure(figsize=(2, 2))\n", + "ax.plot(Pi, Gain_db, label=f\"Gain (max = {max_gain:.2f} dB)\")\n", + "ax.axvline(Pi_p1db, color=\"red\", linestyle=\"--\", label=f\"P1dB = {Pi_p1db:.2f} dBm\")\n", + "ax.axhline(max_gain, color=\"blue\", linestyle=\"--\", label=f\"Max Gain = {max_gain:.2f} dB\")\n", "\n", - "plt.plot(df_50_ghz['Input_power_calc_dbm'].to_numpy(), Gain_db.to_numpy(), label=f'Gain (max = {max_gain_db:.2f} dB)')\n", + "ax.set(\n", + " xlabel=\"Input Power (dBm)\",\n", + " ylabel=\"Gain (dB)\",\n", + " title=\"Av vs IP at 50 GHz\"\n", + ")\n", "\n", - "plt.axvline(x=Pi_p1db, color='red', linestyle='--', label=f'P1dB = {Pi_p1db:.2f} dBm')\n", - "plt.axhline(y=max_gain_db, color='blue', linestyle='--', label=f'Max Gain = {max_gain_db:.2f} dB')\n", + "ax.grid(True)\n", + "ax.legend(fontsize=6)\n", "\n", - "plt.xlabel(\"Input Power (dBm)\")\n", - "plt.ylabel(\"Gain (dB)\")\n", - "plt.title(f\"Av vs IP at {50e9/1e9} GHz\")\n", - "\n", - "plt.xlim(-20, 6)\n", - "plt.ylim(11, 15)\n", - "\n", - "plt.legend(fontsize=6)\n", - "plt.grid()\n", - "plt.savefig('figs/core/AvvsIP_Tcon&Core.png')\n", - "plt.show()" + "fig.savefig(\"figs/core/AvvsIP_Tcon&Core.png\")\n", + "plt.show()\n" ] }, {