Adding Set 2 Exp 17 Figure and updating aPinene Mass Production Rate / O3 dependency figure
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tschan_d committed
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4 files changed
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+20
-4
@@ -2,7 +2,7 @@
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@@ -61,7 +61,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "429e1aed",
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"metadata": {},
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"outputs": [],
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@@ -81,6 +81,11 @@
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" flow_source_file = Path(r\"Z:\\People\\David_Tschan\\OFR_SMPS\\flow_files\\20260910_SET02_EXP16_flow_file.txt\"),\n",
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" smpl_number_list = range(1, 60),\n",
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" on_time_interval=[pd.Timestamp('2026-09-10 15:42:00'), pd.Timestamp('2026-09-10 16:42:00')])\n",
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"# Specify the source file paths to for SMPS data\n",
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"smps_analyser_04 = OFRAnalyser(data_source_file = Path(r\"Z:\\Data\\SMPS\\processed\\2026\\09_September\\20260914\\20260914_aPinene_SOA.txt\"),\n",
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" flow_source_file = Path(r\"Z:\\People\\David_Tschan\\OFR_SMPS\\flow_files\\20260914_SET02_EXP17_flow_file.txt\"),\n",
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" smpl_number_list = range(1, 60),\n",
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" on_time_interval=[pd.Timestamp('2026-09-14 09:45:00'), pd.Timestamp('2026-09-14 10:45:00')])\n",
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"\n",
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"# Specify the source file paths to the API O3 monitor data for the different filters used\n",
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"ozon_analyser_01 = OzoneAnalyser(file = DATFile(file = Path(r\"Z:\\Data\\API_O3\\2026\\09_September\\2026-09-03_14.23.44_PC14750_API_O3.dat\"), data_name = 'ozone'),\n",
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@@ -88,7 +93,9 @@
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"ozon_analyser_02 = OzoneAnalyser(file = DATFile(file = Path(r\"Z:\\Data\\API_O3\\2026\\09_September\\2026-09-04_12.28.13_PC14750_API_O3.dat\"), data_name = 'ozone'),\n",
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" on_time_interval=None)\n",
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"ozon_analyser_03 = OzoneAnalyser(file = DATFile(file = Path(r\"Z:\\Data\\API_O3\\2026\\09_September\\2026-09-10_14.43.47_PC14750_API_O3.dat\"), data_name = 'ozone'),\n",
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" on_time_interval = [pd.Timestamp('2026-09-10 15:00:00'), pd.Timestamp('2026-09-04 17:12:00')])"
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" on_time_interval = [pd.Timestamp('2026-09-10 15:00:00'), pd.Timestamp('2026-09-04 17:12:00')])\n",
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"ozon_analyser_04 = OzoneAnalyser(file = DATFile(file = Path(r\"Z:\\Data\\API_O3\\2026\\09_September\\2026-09-14_08.48.31_PC14750_API_O3.dat\"), data_name = 'ozone'),\n",
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" on_time_interval = [pd.Timestamp('2026-09-14 09:00:00'), pd.Timestamp('2026-09-14 11:15:00')])"
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]
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},
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{
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@@ -109,7 +116,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"id": "99c569ff",
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@@ -148,6 +155,15 @@
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" markersize = 2.5,\n",
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" markerfacecolor = 'green',\n",
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" label = 'Set 2 Exp. 16')\n",
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"ax.plot(ozon_analyser_04.averaged_data['Ozone (ppb)'] / 1000,\n",
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" ozon_analyser_04.averaged_data['Mass Production Rate (kg/s)'],\n",
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" color = 'green',\n",
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" linewidth = 0.5,\n",
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" linestyle = ':',\n",
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" marker = 's',\n",
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" markersize = 2.5,\n",
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" markerfacecolor = 'darkorange',\n",
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" label = 'Set 2 Exp. 17')\n",
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"\n",
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"#ax.set_yscale('log')\n",
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"\n",
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@@ -2095,6 +2095,118 @@
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@@ -0,0 +1,167 @@
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{
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"cells": [
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{
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"id": "1cc3c304",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Importing custom code\n",
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"from defs.SMPS import OFRAnalyser\n",
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"from defs.Helper import DATFile\n",
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"from defs.OzoneMonitor import OzoneAnalyser\n",
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"\n",
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"# Importing required libraries\n",
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"import numpy as np\n",
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"from pathlib import Path\n",
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"import pandas as pd\n",
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"\n",
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"# Importing libraries required for plotting and exporting\n",
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"import matplotlib.pyplot as plt\n",
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"from matplotlib.dates import DateFormatter, HourLocator\n",
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"\n",
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"# Setting style of figures and backend\n",
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"import matplotlib\n",
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"matplotlib.use('pgf')\n",
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"plt.style.use(r'C:\\Users\\tschan_d\\Documents\\code\\.mplstyle')"
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]
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},
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{
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"id": "a67c15f2",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Configuring backend\n",
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"\n",
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"matplotlib.rcParams.update({'text.usetex': True,\n",
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" 'pgf.rcfonts': False,\n",
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" r'\\usepackage{fontspec}' + \n",
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"id": "429e1aed",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Linking to the data\n",
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"\n",
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"# Specify the source file paths to for SMPS data\n",
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"smps_analyser = OFRAnalyser(data_source_file = Path(r\"Z:\\Data\\SMPS\\processed\\2026\\09_September\\20260914\\20260914_aPinene_SOA.txt\"),\n",
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" flow_source_file = Path(r\"Z:\\People\\David_Tschan\\OFR_SMPS\\flow_files\\20260914_SET02_EXP17_flow_file.txt\"),\n",
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" smpl_number_list = range(1, 60),\n",
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" on_time_interval=[pd.Timestamp('2026-09-14 09:45:00'), pd.Timestamp('2026-09-14 10:45:00')])\n",
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"\n",
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"# Specify the source file paths to the API O3 monitor data\n",
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"ozon_analyser = OzoneAnalyser(file = DATFile(file = Path(r\"Z:\\Data\\API_O3\\2026\\09_September\\2026-09-14_08.48.31_PC14750_API_O3.dat\"), data_name = 'ozone'),\n",
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" on_time_interval = [pd.Timestamp('2026-09-14 09:00:00'), pd.Timestamp('2026-09-14 11:15:00')])"
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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": 9,
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"id": "26333625",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Reading in SMPS data and writing it to disk as a csv\n",
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"smps_analyser.GetData()\n",
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"smps_analyser.data.to_csv(path_or_buf = 'smps_data.csv', index = False)\n",
|
||||
"\n",
|
||||
"# Reading in the O3 data and writing it to disk as a csv\n",
|
||||
"ozon_analyser.GetData()\n",
|
||||
"ozon_analyser.file.data.to_csv(path_or_buf = 'ozone_data.csv', index = False)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "99c569ff",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Creating figure\n",
|
||||
"\n",
|
||||
"fig = plt.figure(figsize=(8.8 / 2.54, 5 / 2.54))\n",
|
||||
"ax_1 = plt.axes([0.2, 0.2, 0.6, 0.6], frameon=True)\n",
|
||||
"ax_2 = plt.twinx(ax=ax_1)\n",
|
||||
"\n",
|
||||
"ax_1.plot(ozon_analyser.file.data['timestamp'], ozon_analyser.file.data['ozone'], color = 'black', linestyle = '-.',label=r'$\\chi_{\\ce{O3}}$')\n",
|
||||
"ax_1.set_ylabel(r'Ozone mole fraction $\\chi_{\\ce{O3}}$ $(\\text{ppb})$')\n",
|
||||
"\n",
|
||||
"ax_2.step(smps_analyser.data['Starting Time (-)'], smps_analyser.data['Mass Production Rate (kg/s)'], color='darkorange', linestyle='-', label=r'$\\accentset{*}{m}$')\n",
|
||||
"ax_2.set_ylabel(r'Mass flux $\\accentset{*}{m}$ $(\\unit{\\kilo\\gram\\per\\second})$')\n",
|
||||
"\n",
|
||||
"ax_1.vlines(ozon_analyser.on_time_interval, ymin=0, ymax=70000, colors='k', linestyles='--', linewidth=0.5)\n",
|
||||
"ax_2.vlines(smps_analyser.on_time_interval, ymin=0, ymax=2E-07, colors='k', linestyles='-.', linewidth=0.5)\n",
|
||||
"\n",
|
||||
"ax_1.set_xlabel(r'Time $(-)$')\n",
|
||||
"ax_1.xaxis.set_major_formatter(DateFormatter(r'%H:%M'))\n",
|
||||
"ax_1.xaxis.set_major_locator(HourLocator())\n",
|
||||
"ax_1.set_xlim([pd.Timestamp('2026-09-14 08:45:00'), pd.Timestamp('2026-09-14 11:45:00')])\n",
|
||||
"\n",
|
||||
"lines_1, labels_1 = ax_1.get_legend_handles_labels()\n",
|
||||
"lines_2, labels_2 = ax_2.get_legend_handles_labels()\n",
|
||||
"\n",
|
||||
"ax_1.set_ylim([0, 80000])\n",
|
||||
"ax_2.set_ylim([0, 5E-09])\n",
|
||||
"\n",
|
||||
"ax_1.legend(lines_1 + lines_2, labels_1 + labels_2, loc='upper right')\n",
|
||||
"\n",
|
||||
"#plt.show()\n",
|
||||
"plt.savefig(\"figure.pgf\", format='pgf', dpi=400)\n",
|
||||
"plt.close()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "89951350",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "MA",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.13"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
File diff suppressed because it is too large.
Load diff
Reference in new issue
Block a user