Estuary+Python
Python codes for data analysis
2015/10/22 Time series, Vertical
(c) 2014-12-26 Teruhisa Okada
{ "cells": [ { "cell_type": "code", "execution_count": 5, "id": "d2e09d14-f7a9-4e90-ab12-4f0cceacd454", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1008x576 with 8 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# (c) 2021-10-28 OKADA Teruhisa\n", "\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from matplotlib.dates import DateFormatter\n", "import datetime as dt\n", "import numpy as np\n", "\n", "def t_contour(ax, df, vname, interval, extend, cblabel=None):\n", " pv = df.pivot(index='date', columns='layer', values=vname)\n", " pv = pv.resample('D').mean()\n", " date = pv.index\n", " depth = pv.columns\n", " value = pv.values.T\n", "\n", " cf = ax.contourf(date, -depth, value, interval, extend=extend)\n", " cb = plt.colorbar(cf, ax=ax)\n", " cb.set_label(cblabel)\n", " \n", " ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )\n", " ax.set_ylabel('depth(m)')\n", " ax.set_ylim(-14, 0)\n", "\n", " \n", "def main(obsfile):\n", " df = pd.read_csv(obsfile, parse_dates=['date'], na_values='*')\n", " \n", " fig, ax = plt.subplots(4,1,figsize=(14,8))\n", " t_contour(ax[0], df, 'temperature', np.arange(10,28.1,1), 'both', 'Temperature [degC]')\n", " t_contour(ax[1], df, 'salinity', np.arange(27,32.1,0.5), 'both', 'Salinity')\n", " t_contour(ax[2], df, 'chlorophyll', np.arange(0,20.1,1), 'max', 'Chlorophyll [mg/m3]')\n", " t_contour(ax[3], df, 'DO', np.arange(0,100.1,5), 'max', 'Oxygen [%]')\n", " \n", " ax[3].set_xlabel('2020')\n", "\n", "\n", "main('sample_kobe202009.csv')\n", "plt.savefig('time_contour_sample.png', bbox_inches='tight')" ] }, { "cell_type": "code", "execution_count": null, "id": "6b22d0f6-1709-4f38-8e86-3bcff649d030", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 5 }
# This .py file is obsolete. You can use .ipynb file. import pandas as pd import matplotlib.pyplot as plt from matplotlib.dates import DateFormatter import datetime as dt import numpy as np def t_contour(ax, df, vname, interval, extend, cblabel=None): pv = df.pivot(index='date_hour', columns='layer', values=vname) pv = pv.resample('D', how='mean') date = pv.index depth = pv.columns value = pv.values.T cf = ax.contourf(date, -depth, value, interval, extend=extend) cb = plt.colorbar(cf, ax=ax) cb.set_label(cblabel) ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) ax.set_ylabel('depth(m)') ax.set_ylim(-14, 0) def main(obsfile): df = pd.read_csv(obsfile, parse_dates=[['date','hour']], na_values='*') fig, ax = plt.subplots(4,1,figsize=(14,8)) t_contour(ax[0], df, 'temperature', np.arange(10,28.1,1), 'both', 'Temperature [degC]') t_contour(ax[1], df, 'salilnity', np.arange(27,32.1,0.5), 'both', 'Salinity') t_contour(ax[2], df, 'chlorophyll', np.arange(0,20.1,1), 'max', 'Chlorophyll [mg/m3]') t_contour(ax[3], df, 'DO', np.arange(0,100.1,5), 'max', 'Oxygen [%]') ax[3].set_xlabel('2012') main('/Users/teruhisa/Dropbox/Data/obweb/db/osaka_q1.csv') plt.savefig('time_contour_obweb_4figs.png', bbox_inches='tight')
Teruhisa Okada