Estuary+Python
Python codes for data analysis
2015/10/22 ROMS NetCDF, Vertical
(c) 2015-02-10 Teruhisa Okada
{ "cells": [ { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "temp 3 [datetime.datetime(2012, 8, 1, 0, 0), datetime.datetime(2012, 9, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 8, 1, 0, 0), datetime.datetime(2012, 9, 1, 0, 0)] Obs\n" ] }, { "data": { "text/plain": [ "(5, 30)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "<matplotlib.figure.Figure at 0x177c2198>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# (c) 2015 Teruhisa Okada\n", "\n", "% matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import datetime\n", "import romspy\n", "\n", "obs = 'F:/okada/Dropbox/Data/ob500_obs_2012_obweb-4.nc'\n", "sta = 'Z:/roms/Apps/OB500_fennelP/NL12/ob500_sta.nc'\n", "\n", "vname='temp'\n", "station=3\n", "\n", "fig, ax = plt.subplots(1,1,figsize=[10,5])\n", "p = romspy.profile.Profile(obsfile=obs, freefile=sta)\n", "dates = [datetime.datetime(2012,8,1,0), datetime.datetime(2012,9,1,0)]\n", "\n", "p.plot(ax, vname, station, dates)\n", "ax.set_xlim(5,30)\n", "\n", "#p.savefig('profile_temp_3_aug.png')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "temp 3 [datetime.datetime(2012, 1, 1, 0, 0), datetime.datetime(2012, 2, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 1, 1, 0, 0), datetime.datetime(2012, 2, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 2, 1, 0, 0), datetime.datetime(2012, 3, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 2, 1, 0, 0), datetime.datetime(2012, 3, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 3, 1, 0, 0), datetime.datetime(2012, 4, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 3, 1, 0, 0), datetime.datetime(2012, 4, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 4, 1, 0, 0), datetime.datetime(2012, 5, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 4, 1, 0, 0), datetime.datetime(2012, 5, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 5, 1, 0, 0), datetime.datetime(2012, 6, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 5, 1, 0, 0), datetime.datetime(2012, 6, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 6, 1, 0, 0), datetime.datetime(2012, 7, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 6, 1, 0, 0), datetime.datetime(2012, 7, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 7, 1, 0, 0), datetime.datetime(2012, 8, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 7, 1, 0, 0), datetime.datetime(2012, 8, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 8, 1, 0, 0), datetime.datetime(2012, 9, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 8, 1, 0, 0), datetime.datetime(2012, 9, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 9, 1, 0, 0), datetime.datetime(2012, 10, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 9, 1, 0, 0), datetime.datetime(2012, 10, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 10, 1, 0, 0), datetime.datetime(2012, 11, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 10, 1, 0, 0), datetime.datetime(2012, 11, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 11, 1, 0, 0), datetime.datetime(2012, 12, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 11, 1, 0, 0), datetime.datetime(2012, 12, 1, 0, 0)] Obs\n", "temp 3 [datetime.datetime(2012, 12, 1, 0, 0), datetime.datetime(2013, 1, 1, 0, 0)] Free\n", "temp 3 [datetime.datetime(2012, 12, 1, 0, 0), datetime.datetime(2013, 1, 1, 0, 0)] Obs\n" ] }, { "data": { "image/png": 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ZVMrfqlPQmixWsgAASUCShUX5rclqXS5kUTI+qAuJL2IXb8QvWUiysKg1a/wlTmvWSGvX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\nAAD9iJosLAvz+RHbuJGVLAB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"text/plain": [ "<matplotlib.figure.Figure at 0x1624fef0>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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AgMkjyfLYnDnVH6sTVuE7dQV+I37+InZ+I37xQpIVUbU+u7DaA6LZugEAgPqg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\nBeW3ctiwQVq9Wnr/+0ufP3l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"text/plain": [ "<matplotlib.figure.Figure at 0x175508d0>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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jdQAAQOtIsmKs2cL3dpIs6gr8Rvz8Rez8RvyShSQLrGQBABABarJi7OhRaXy8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\na+/43qinCQCA1xomWWZ2rZk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"text/plain": [ "<matplotlib.figure.Figure at 0x16e04d30>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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YOTO6wuerX4Vnn4UvfjGaeFDqybr44ujiiYhI+NSTJTJGHD1Z+ttBRERUZElF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\n19PY2ExTU1sg4wc1zziEmT8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"text/plain": [ "<matplotlib.figure.Figure at 0x176f3b00>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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HdLtQRGQuSrIkFNUVJFPlGYHDw0ORY/lMsnS7sHYae8mm/kuXWJIsM1tpZj80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\nRW9vcJPx9IcdF14YPZaISNz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"text/plain": [ "<matplotlib.figure.Figure at 0x176ff358>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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NwYED/mqyurvhIx+Bf/93P/Gdg4EBWLHCT3wRCakmS0Rkhs6ElSzVe4nEj6al\nVER1BfVN4zeec34TLd81WarHqh+ae8miJEtEEs93kuJ7Jcs5rWSJxJFqskQk8QYGIJ/3V5OVycCd\nd8I3v+kn/vBwmCQuXeonvoiEVJMlIjJD9V6TpZUskXjStJSKqK6gvmn8xqunJCubzUw4pySrfmju\nJYuXaWlmK83sp2b2sJk9ZGZv89GOiEgU6inJKkdJlkg8+ZqWnUCbc+5K4G9Kx3IGaWpqqnUXpAoa\nv/Gcg22PtUcas7OzlXS6gSAwNm5sYN++jZHEXb26idt3tY87pySrfmjuJYuvaVkEGkrfLwEKntoR\nEalasQhfeGJTZPE6O1vZuvU2crkczjl+9ascu3ffSldXNInW5t3j+6otHETiyVeS1Qx0mdmzQBfw\naU/tSI2orqC+afzGi/py4c6dd5DP5wmCAIAgCMjn8+zYsa3q2Nlspux5JVn1QXMvWc6u9AfN7H7g\n4jIvfRZ4N9DsnLvHzD4IfAm4rlycNWvWsGzZMgCWLFnCypUrTyynjv7PqGMd61jHPo+dA/ZD8BmD\n5YT2l/6t5LgX9u7dy969e0+0t3fvXvr6egm2W3XxS+ey2bD/q1eH8bPZDIsWxeO/p44nPx4Vl/7o\neOrj0e+7u7uphJd9sszsFefcktL3BrzinGso8z7tkyUiNffSS3DBF4zC+mg+j9LpBnK53ImVLIBC\noUA63ciePT1Vxw+2j+/r0aPwmtdAw4RPWRGJUlz2yTpkZteWvn8n8CtP7YiIVK1YjDbe2rUbSKVS\nFAphOWqhUCCVSrFu3YZoGypRTZZIPPlKstYDt5vZI8CtwH/11I7UyKlL31JfNH4TbfittshitbR0\n0NzcSjrdiJlx2WWNvPvdrbS0dFQdO5vNcPOq8X1VklU/NPeSpeKarKk45/4v8B98xBYRiVqxCM0r\n2yON2dLScSKpuvlmeFuEuwXeclX7uGMzJVkicaRnF4pI4h0+DIODMG+en/gf+xi8613wx3/sJ35/\nP7zudf6evSgiobjUZImI1A3ff+sNDflL4EZpJUskfpRkSUVUV1DfNH7j+a5pinKVLJvNTDinCwL1\nQ3MvWZRkiUjiFYt+k6yhITjnHH/xVZMlEk+qyRKRxDtwIExSzvZyK1BYi9XSAv/xP/qJ398PS5f6\nfQi1iKgmS0SkIr4vF/pcyRKReFKSJRVRXUF90/iN5/ty4WzUZOlyYX3Q3EsWJVkiknizcXeharJE\nkkc1WSIgBx1aAAATjklEQVSSeM88EyZBvhKVa66Bu+6CSy/1E7+/H5Ytg7lz/cQXkZBqskREZmg2\n7i7UPlkiyaMkSyqiuoL6pvEbz/eCepSF79lsZsI5XRCoH5p7yaIkS0QSbTYSFN93F6omSySelGRJ\nRZqammrdBamCxm+8bY+1Rxqvs7OVdLqBIDDS6QZgY2SXC1evbuL2Xe0TzivJqg+ae8miJEtEEs05\n+MITmyKL19nZytatt5HL5XDOkcvlGBi4lX/4h42RtbF598T+KskSiR8lWVIR1RXUN43fSVFfLty5\n8w7y+TxBEAAQBAH5fJ4vfWlbJPGz2cyEc6rJqh+ae8ni6SESIiL1Jdge0VJQLycSrBOxg4C+vt5o\n2tgPLB9/SjVZIvGkfbJEJNGGh2HubUZhfTSfRel0A7lcblyiVSgUSKcb2bOnJ5I2gu3j+3v0KKxY\nEUloEZmC9skSEZmBqP/OW7t2A6lUikKhAIQJViqVYt26DdE2VOIcnKVPcpFY0tSUiqiuoL5p/Mb7\n+BVtkcVqaemgubmVdLoRM+NNb2rkwgtbaWnpiCR+Npvh5lUn+6uLAfVFcy9ZlGSJSKI5Bxt+qz3S\nmC0tHezZ00Oh4Ljnnh7OPz+aBGvULVe1jztWPZZIPKkmS0QSbXAQDhyAhQv9xH/8cfjkJ+H73/cT\nf2QkrCtbvvz07xWR6qgmS0RkhnyuBB0/Dmd7vo9bNVki8aSpKRVRXUF90/id5HsxfWQk2iQrm81E\nF0xmneZesijJEhHxyPdKlu4uFIkv1WSJSKINDEA+DwsW+In/4IPwxS/CXXf5iT88HF7uXLrUT3wR\nOUk1WSIiMTI87H8lS0TiSUmWVER1BfVN43eS7yQl6iQrm81MOKfLhfVDcy9ZNDVFRDzyvZIlIvGl\nmiwRSbT+fjh0yF9N1re/DffeC3fe6Sf+0BDMnQunPJNaRDxQTZaIyAzU2+XCcnS5UCSeKp6aZvZB\nM3vSzEbMbNUpr33azPaa2R4zu776bkrcqK6gvmn8Zo/vmixdDKgvmnvJUs3Ufxy4ERi3CG5mjcCH\ngUYgAH5gZpc754pVtCUi4oVzfhMVrWSJJFfFU9M5t8c596syL70f+KZz7rhzrhvYB1xdaTsST01N\nTbXuglRB4xdqz7QD0T5Wp7OzlXS6gSAw0ukG/vVfN0aaZP37OZnogsms09xLFh9//7wOyI85zhOu\naImIxMqmH22iGOEae2dnK1u33kYul8M5Ry6X4/77b+WppzZG1sbm3ZvGHetyoUh8TZlkmdn9ZvZ4\nma/3zbAdfQycYVRXUN80fuNFtZK1c+cd5PN5gtKtfkEQkM/nyeW2RdMAwP6Jp3S5sH5o7iXLlIvY\nzrnrKohZAMY+4CFVOlfWmjVrWLZsGQBLlixh5cqVJ5ZTR/9n1LGOdaxjL8f7YcmWUoY1mrwsp/Lj\nXk4kWGPbGxjoJfiMVR9/jGw2jL9q1RS/n45jdzwqLv3R8dTHo993d3dTiar3yTKzB4BPOud2lY4b\ngW8Q1mEFwA+AFeU2xNI+WSJSS7bJeHmD4+WXYf786uOl0w3kcrkTiRZAoVDgsssa2bevp/oGgGC7\nUVh/8nNzYACWLIFXvzqS8CIyhVnbJ8vMbjSzg8A1wL1mdh+Acy4H/AuQA+4D/h9lUiISV1HWZK1d\nu4FUKkWhEC7eFwoFUqkUV165IbpGRKRuVJxkOefucc4tdc7Nd85d7Jx7z5jX/l/n3Arn3Jucc9+P\npqsSJ6cufUt90fiF2q5tizReS0sHzc2tpNONmBnpdCOrV7eyenVHZG18cO5HI4sls09zL1lULiki\nidXe1E6xGO0WDi0tHezZ00Oh4Nizp4crr+yIdAuHD12+ZsK5s/RJLhJLenahiCTaCy9AXx+ce66f\n+H/7t3DhhfAXf+En/sAAnH8+vOpVfuKLyEl6dqGIyAxEvZJ1quFhmDPHX3z9nSoSX0qypCKqK6hv\nGr/ZMzwMc+dGFy+bzUw4p8uF9UNzL1k0NUUk0ep9JUtE4ks1WSKSaIUCHD8O8+b5iX/zzXD11fCf\n/7Of+P39cPHFsGiRn/gicpJqskREZsjnStbx41rJEkkqJVlSEdUV1DeN30lRbkZazsiI35osXQyo\nL5p7yaIkS0QSr55Xssz89l9EKqeaLBFJtAMHwiQlyg1Dx1q7Fj70IbjhBj/x+/vhta+FhQv9xBeR\nk1STJSIyQ/W8kiUi8aUkSyqiuoL6pvE7yXdNVrEY7SpZNpuZcE6XC+uH5l6yKMkSkcTzmaQUi9os\nVCSpNPWlIk1NTbXuglRB4wftmfZI43V2tpJONxAERjrdQFfXRiC8uzCqJO72Xe2sXt0UTTCpCc29\nZFGSJSKJtOlHm4BotkDo7Gxl69bbyOVyOOfI5XJs2XIrXV0bKRajq8navHtTNIFEZFYoyZKKqK6g\nvmn8xqt2pWnnzjvI5/MEQQBAEATk83l27NiGc9FeLsxmM9EFk1mnuZcsnm5aFhGJP9sU0XW8Xk4k\nWKOCIKCvr5efHvoxf3LvZ+CJn0TT1im0C45IfGmfLBFJJNtkuDbHvn0wf351q1npdAO5XG5colUo\nFEinG7n88h42boS3va36PgfbjcL68Z+ZR45AEMCCBdXHF5GpaZ8sEZEZqvZy4dq1G0ilUhQKBSBM\nsFKpFOvWbfB+d6G2bxCJLyVZUhHVFdQ3jR+0XdsGRHO5raWlg+bmVtLpRsyMdLqR5uZWWlo6Iq3J\nunlVm/bJqnOae8mimiwRSaT2pvZI47W0dNDS0jHh/MhIdEnWLVe1q/BdpI6oJktEEm3vXr/1TNdf\nD5s3wxVX+Inf3x/WZJ13np/4InKSarJERKbJOf935xWLupwnklRKsqQiqiuobxq/k3wnQFEXvmez\nmeiCyazT3EsWJVkiIh7p2YUiyaWaLBFJrGIR9u2DhQv9tfGOd8CXvgQrVviJf+QIpFKqyRKZDarJ\nEhGZgdm4XKiaLJFkUpIlFVFdQX3T+M0e3zVZSuDqi+ZesijJEpHEmq27C+fM8duGEi2ReFJNlogk\n1sgIPPOM332yrr4a7r47rJvyob8/jD1/vp/4InKSarJERGJkZEQrTSJJVVWSZWYfNLMnzWzEzK4a\nc/46M/uFmT1W+vf3qu+qxInqCuqbxi80G5cLnYv2cmE2m4kumMw6zb1kqfbZhY8DNwJ3AmM/ql4A\n/sA595yZvRn4PuBpsVxEpHL1thmpiNSPqqa+c26Pc+5XZc4/4px7rnSYA+ab2dxq2pJ4aWpqqnUX\npApJH7/2THvkMTs7W0mnGwgCI51uoKtrIxBdknX7rnYAVq9uqj6Y1EzS517SzMbfVx8Adjnnjs9C\nWyIip7XpR5uA6C4Xdna2snXrbeRyOZxz5HI5tmy5la6ujYyMRJNkbd69qex53TskEl+nnfpmdr+Z\nPV7m633T+Nk3A58DboqisxIfqiuobxq/k6K4XLhz5x3k83mCIAAgCALy+Tw7dmzDOT27UE7S3EuW\n09ZkOeeuqySwmaWAu4E/dc7tn+x9a9asYdmyZQAsWbKElStXnlhOHf2fUcc61rGOoz62NaXsann4\nD6OfUpUc98LevXvZu3fvifh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"text/plain": [ "<matplotlib.figure.Figure at 0x15cf1c88>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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UCspmsyoWi8rlcpKkvr4+TxEibWmtZL1D0ofN7CFJH5Z0aUrzwBP6CuJG/uIV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\nV7IWajMmf62l7j1ZZrZO0ns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"text/plain": [ "<matplotlib.figure.Figure at 0x16db7898>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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L5ejr231GojU5mWyPrO6D3f6NAqIkS0REpEGNj/vPLr3wAlx4YfH3Awf2kc/niaIIgCiK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\nUrTche+gJGsxac1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"text/plain": [ "<matplotlib.figure.Figure at 0x16e09a90>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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LAABERk3W3ONfKWJppbqCLCJ+/iJ2fsty/LJ444okCwAAJC6LNVkkWYilo6Oj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\nzOxuM7t/mp+rZxlWlPRXzrk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"text/plain": [ "<matplotlib.figure.Figure at 0x16295b38>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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EGlwtrl345jevJpPJUCqFLcSlUolMJsPKlasjjaN1hXTxVWStAq4xs4eBNcCH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\naxtBYGSzbfT3XxHp/G96U+5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"text/plain": [ "<matplotlib.figure.Figure at 0x17afdac8>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "<matplotlib.figure.Figure at 0x110708d0>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "<matplotlib.figure.Figure at 0x1810f748>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "vname='temp'\n", "station=3\n", "\n", "for month in range(1,13):\n", " fig, ax = plt.subplots(1,1,figsize=[10,5])\n", " p = romspy.profile.Profile(obsfile=obs, freefile=sta)\n", " #p = romspy.profile.Profile(freefile=sta)\n", " if month == 12:\n", " dates = [datetime.datetime(2012,12,1,0), datetime.datetime(2013,1,1,0)]\n", " else:\n", " dates = [datetime.datetime(2012,month,1,0), datetime.datetime(2012,month+1,1,0)]\n", " p.plot(ax, vname, station, dates)\n", " ax.set_xlim(5,30)\n", " ax.set_title('2012/{}'.format(month))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }
# -*- coding: utf-8 -*- """ profile class (c) 2015-09-26 Teruhisa Okada """ import netCDF4 import matplotlib.pyplot as plt import numpy as np import datetime as dt import pandas as pd from mpltools import special class Profile(): sta_JST = 'seconds since 1968-05-23 09:00:00 GMT' obs_JST = 'days since 1968-05-23 09:00:00 GMT' def __init__(self, obsfile=None, freefile=None, assifile=None, t_obs=None, t_free=None, t_assi=None): self.obsfile = obsfile self.freefile = freefile self.assifile = assifile if obsfile is not None: self.obs = netCDF4.Dataset(obsfile, 'r') self.t_obs = t_obs if freefile is not None: self.free = netCDF4.Dataset(freefile, 'r') self.t_free = t_free if assifile is not None: self.assi = netCDF4.Dataset(assifile, 'r') self.t_assi = t_assi def calculate_depth(self, nc, t, station): s_rho = len(nc.dimensions['s_rho']) zeta = nc.variables['zeta'][t,station-1] h = nc.variables['h'][station-1] Cs_r = nc.variables['Cs_r'][:] depth = np.ndarray(shape=[s_rho]) depth = (h + zeta) * Cs_r return depth def print_time(self, which='ends', name='ocean_time', tunit=sta_JST): print "\nprint_time(which={}, name={}, tunit={})".format(which, name, tunit) nc = self.nc if which == 'ends': t = len(nc.dimensions[name]) start = nc.variables[name][0] end = nc.variables[name][t-1] print netCDF4.num2date(start, tunit), 0 print netCDF4.num2date(end, tunit), t-1 elif which == 'all': time = nc.variables[name][:] for t in range(len(time)): print netCDF4.num2date(time[t], tunit), t else: print 'You should select "ends" or "all"' def axes(self, x=1, y=1, figsize=[16,9]): fig, ax = plt.subplots(x, y, figsize=figsize) ax1 = [ax[i][j] for i in range(x) for j in range(y)] return ax1 def plot_sta(self, ax, vname, station, date, label): print vname, station, date, label if label == 'Free': nc = self.free if self.t_free is None: ocean_time = nc.variables['ocean_time'][:] time = netCDF4.date2num(date, self.sta_JST) if type(time) == np.int64: t = np.where(ocean_time == time)[0][0] else: t0 = np.where(ocean_time == time[0])[0][0] t1 = np.where(ocean_time == time[1])[0][0] t = np.arange(t0, t1) self.t_free = t else: t = self.t_free elif label == 'Assi': nc = self.assi if self.t_assi is None: ocean_time = nc.variables['ocean_time'][:] time = netCDF4.date2num(date, self.sta_JST) t = np.where(ocean_time == time)[0][0] self.t_assi = t else: t = self.t_assi if vname == 'DIN': NH4 = nc.variables['NH4'][t,station-1,:] NO3 = nc.variables['NO3'][t,station-1,:] var = NH4 + NO3 elif vname == 'PON': LDeN = nc.variables['LdetritusN'][t,station-1,:] SDeN = nc.variables['SdetritusN'][t,station-1,:] var = LDeN + SDeN elif vname == 'POP': LDeP = nc.variables['LdetritusP'][t,station-1,:] SDeP = nc.variables['SdetritusP'][t,station-1,:] var = LDeP + SDeP else: var = nc.variables[vname][t,station-1,:] line = {'Free': '--', 'Assi': '-'} if type(t) == np.int64: depth = self.calculate_depth(nc, t, station) ax.plot(var, depth, line[label], label=label) else: depth = self.calculate_depth(nc, t[0], station) #ax.errorbar(np.mean(var, axis=0), depth, xerr=np.std(var, axis=0), fmt=line[label], label=label) mean = np.mean(var, axis=0) std = np.std(var, axis=0) #ax.fill_betweenx(depth, mean-std, mean+std, label=label) #ax.plot(mean, depth, line[label]) special.errorfill(mean, depth, xerr=std, label=label, ax=ax, alpha_fill=0.1) def plot_obs(self, ax, vname, station, date, label): print vname, station, date, label nc = self.obs if self.t_obs is None: time = netCDF4.date2num(date, self.obs_JST) obs_time = nc.variables['obs_time'][:] if type(time) == np.int64: index = np.where(obs_time == time)[0] else: index0 = np.where(obs_time == time[0])[0] index1 = np.where(obs_time == time[1])[0] index = np.arange(index0[0], index1[-1]) self.t_obs = index else: index = self.t_obs obs_station = nc.variables['obs_station'][index] obs_type = nc.variables['obs_type'][index] obs_depth = nc.variables['obs_depth'][index] obs_value = nc.variables['obs_value'][index] data={'station':obs_station, 'depth':obs_depth, 'type':obs_type, 'value':obs_value} df = pd.DataFrame(data) df = df[df.station==station] varid = {'temp':6, 'salt':7, 'chlorophyll':10, 'oxygen':15} if vname in varid.keys(): var = df[df.type == varid[vname]] elif vname == 'phytoplankton': var = df[df.type == varid['chlorophyll']] var.value = var.value / (Chl2C_m * PhyCN * C) #var.value = var.value * 2.18 else: return if type(time) == np.int64: ax.plot(var.value, var.depth, 'o', mec='k', mfc='w', mew=1, label=label) else: var.depth = var.depth.apply(int) mean = var.groupby('depth').mean() std = var.groupby('depth').std() ax.errorbar(mean.value, mean.index, xerr=std.value, fmt='o', mec='k', mfc='w', mew=1, label=label) def plot(self, ax, vname, station, date): if self.freefile is not None: self.plot_sta(ax, vname, station, date, 'Free') if self.assifile is not None: self.plot_sta(ax, vname, station, date, 'Assi') if self.obsfile is not None: self.plot_obs(ax, vname, station, date, 'Obs') ax.grid() ax.set_ylim(-14,0) def show(self): plt.show() def savefig(self, figfile='test.png', bbox_inches='tight', dpi=300): plt.savefig(figfile, bbox_inches=bbox_inches, dpi=dpi) plt.close() def test(): freefile = 'Z:/roms/Apps/OB500_fennelP/NL09/ob500_sta.nc' obsfile = 'F:/okada/Dropbox/Data/ob500_obs_2012_obweb-3.nc' p = Profile(freefile=freefile, obsfile=obsfile) ax = p.axes(3,4,[16,9]) time = dt.datetime(2012, 1, 10, 0) for i, station in enumerate([1,2,3,4,5,6,8,9,10,11,12,13]): p.plot(ax[i], 'temp', station, time) ax[i].set_xlim(0, 20) ax[i].set_title('Sta.{}'.format(station)) p.show() def fennelP(station, date, obsfile=None, freefile=None, assifile=None, t_assi=None): varnames = ['temp', 'salt', 'chlorophyll', 'oxygen', 'DIN', 'PON', 'PO4', 'POP'] #colors = ['c', 'k', 'g', 'r', 'r', 'm', 'm', 'b'] #c = {name:c for name, c in zip(varnames, colors)} p = Profile(obsfile=obsfile, freefile=freefile, assifile=assifile, t_assi=t_assi) ax = p.axes(2,4,[16,9]) for i, vname in enumerate(varnames): p.plot(ax[i], vname, station, date) ax[i].set_title(vname) ax[0].set_xlim(0, 30) ax[1].set_xlim(15, 35) ax[2].set_xlim(0, 10) ax[3].set_xlim(0, 400) ax[4].set_xlim(0, 10) ax[5].set_xlim(0, 10) ax[6].set_xlim(0, 1) ax[7].set_xlim(0, 1) p.show() if __name__ == '__main__': #test() freefile = 'Z:/roms/Apps/OB500_fennelP/NL07/ob500_sta.nc' assifile = 'Z:/roms/Apps/OB500_fennelP/4DVAR04/output/ob500_sta_0.nc' obsfile = 'F:/okada/Dropbox/Data/ob500_obs_2012_obweb-3.nc' """from romspy import get_time print get_time(assifile, 'all') t_assi = 7 fennelP(3, dt.datetime(2012, 8, 5, 0), obsfile=obsfile, freefile=freefile, assifile=assifile, t_assi=t_assi)""" vname='temp' station=4 fig, ax = plt.subplots(1,1,figsize=[10,5]) p = Profile(obsfile=obsfile, freefile=freefile) #p = Profile(freefile=freefile) #date=dt.datetime(2012,5,15,0) date = [dt.datetime(2012,5,15,0), dt.datetime(2012,6,15,0)] p.plot(ax, vname, station, date) ax.set_xlim(5,30) p.show()
Teruhisa Okada