{ "cells": [ { "cell_type": "markdown", "id": "bc0fdc07", "metadata": {}, "source": [ "# Model selection and calibration datasets" ] }, { "cell_type": "markdown", "id": "9c1da854", "metadata": {}, "source": [ "To calculate realistic melt Fe3Fe2 ratios and Kd, it is important to select a model that has been calibrated with melt compositions and PT conditions similar to those of your own melts. This example shows how to plot and compare melt compositions of experiments included in datasets used to calibrate the models included in MagmaPandas.\n", "\n", "MagmaPandas includes the calibration datasets for all Fe3/Fe2 models. Unfortunately, for many ol-melt Fe-Mg Kd models it is either not clearly explained which data were included in their calibration, or the data are not accessible. Because of this, MagmaPandas only includes calibration datasets for the {cite:t}`blundy_effect_2020` and {cite:t}`Sun2020a` Kd models." ] }, { "cell_type": "code", "execution_count": 1, "id": "9b3b442a", "metadata": {}, "outputs": [], "source": [ "from MagmaPandas.model_calibrations import plot_calibration, plot_calibration_PT, get_calibration_data\n", "import matplotlib.pyplot as plt\n", "import geoplot as gp\n", "import MagmaPandas as mp" ] }, { "cell_type": "markdown", "id": "fd0dec06", "metadata": {}, "source": [ "With the function `get_calibration_data` from the `model_calibration` module in Magmapandas you can retrieve model calibration datasets. Currently, this is only implemented for melt Fe3Fe2, which you need to pass to the `parameter` argument. Without supplying any other argument, the function return the calibration dataset for the model currently selected in the configuration. In this case, that is the sun2024 model." ] }, { "cell_type": "code", "execution_count": 2, "id": "f69e7a79", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "################## MagmaPandas ###################\n", "##################################################\n", "General settings__________________________________\n", "fO2 buffer.....................................QFM\n", "ΔfO2.............................................1\n", "Melt Fe3+/Fe2+.............................sun2024\n", "Kd Fe-Mg ol-melt........................toplis2005\n", "Melt thermometer....................putirka2008_15\n", "Volatile solubility model.......iaconomarziano2012\n", "Volatile species.............................mixed\n", "##################################################\n", "\n" ] }, { "data": { "text/html": [ "
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" ], "text/plain": [ " ref run SiO2 TiO2 Al2O3 MgO CaO Na2O K2O P2O5 MnO \\\n", "0 A2019 S6776 56.40 3.53 13.30 2.77 7.49 4.40 0.63 0.0 NaN \n", "1 A2019 S6606 57.76 2.47 15.30 1.77 6.39 4.80 1.03 0.0 NaN \n", "2 A2019 Z1850 45.06 0.75 18.33 10.20 12.87 2.23 0.00 0.0 NaN \n", "3 A2019 Z1791 50.22 2.37 15.70 8.57 12.34 3.30 0.00 0.0 NaN \n", "4 A2019 Z1626 52.45 2.40 14.47 2.22 6.53 5.17 0.58 0.0 NaN \n", "... ... ... ... ... ... ... ... ... ... ... ... \n", "1215 Z2016 VF59 59.66 2.76 14.43 2.05 7.18 4.16 1.10 0.0 NaN \n", "1216 Z2016 VF81 59.81 3.00 14.46 2.15 7.72 3.37 1.02 0.0 NaN \n", "1217 Z2016 VF88 60.18 2.81 14.45 2.04 7.25 3.55 0.90 0.0 NaN \n", "1218 Z2016 VF49 60.25 2.95 14.62 2.17 7.70 3.07 1.00 0.0 NaN \n", "1219 Z2016 VF35 60.30 2.91 14.66 2.06 7.38 3.38 1.10 0.0 NaN \n", "\n", " CoO NiO Pb FeO T_K fO2 _Fe3Fe2 P_bar \n", "0 NaN NaN NaN 8.647177 2573.15 1.181990e+07 17.138110 230000.0 \n", "1 NaN NaN NaN 6.523624 2573.15 1.181990e+07 13.425202 230000.0 \n", "2 NaN NaN NaN 8.098292 2473.15 1.121269e+06 1.024902 180000.0 \n", "3 NaN NaN NaN 7.243473 2473.15 1.121269e+06 0.590352 180000.0 \n", "4 NaN NaN NaN 13.785093 2473.15 9.320000e-04 0.052632 150000.0 \n", "... ... ... .. ... ... ... ... ... \n", "1215 NaN NaN NaN 9.349029 1623.15 6.606930e-04 0.772735 1.0 \n", "1216 NaN NaN NaN 8.548197 1623.15 1.050000e-07 0.118944 1.0 \n", "1217 NaN NaN NaN 9.555985 1623.15 5.500000e-07 0.191611 1.0 \n", "1218 NaN NaN NaN 8.179275 1623.15 2.340000e-09 0.118318 1.0 \n", "1219 NaN NaN NaN 9.106080 1623.15 8.510000e-09 0.069633 1.0 \n", "\n", "[1080 rows x 19 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(mp.configuration)\n", "calibration_data_Fe3Fe2 = get_calibration_data(parameter=\"Fe3Fe2\")\n", "calibration_data_Fe3Fe2" ] }, { "cell_type": "markdown", "id": "ca314769", "metadata": {}, "source": [ "For the default Kd model (toplis2005) the calibration dataset is not available and the `get_calibration_data` function raises an error." ] }, { "cell_type": "code", "execution_count": 3, "id": "287efde8", "metadata": {}, "outputs": [ { "ename": "RuntimeError", "evalue": "The calibration dataset is not available for toplis2005. Please refer to the original publication.", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mget_calibration_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mparameter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mKd\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/Dropbox/research/python/packages/MagmaPandas/src/MagmaPandas/model_calibrations/plot_calibration.py:66\u001b[0m, in \u001b[0;36mget_calibration_data\u001b[0;34m(parameter, model)\u001b[0m\n\u001b[1;32m 63\u001b[0m datasets \u001b[38;5;241m=\u001b[39m calibration_datasets[model]\n\u001b[1;32m 65\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m datasets \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 66\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m 67\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe calibration dataset is not available for \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. Please refer to the original publication.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 68\u001b[0m )\n\u001b[1;32m 70\u001b[0m data \u001b[38;5;241m=\u001b[39m calibration_data\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mref in @datasets\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 72\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m data\n", "\u001b[0;31mRuntimeError\u001b[0m: The calibration dataset is not available for toplis2005. Please refer to the original publication." ] } ], "source": [ "get_calibration_data(parameter=\"Kd\")" ] }, { "cell_type": "markdown", "id": "d6b90751", "metadata": {}, "source": [ "By supplying a name to the `model` argument you can get calibration dataset for other models. The Fe3Fe2 and Kd models you can choose from are listed in the `mp.Fe3Fe2_models` and `mp.Kd_ol_FeMg_models` variables respectively." ] }, { "cell_type": "code", "execution_count": 4, "id": "4dcff88a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fe3Fe2 models: ['armstrong2019', 'borisov2018', 'deng2020', 'fixed', 'hirschmann2022', 'jayasuriya2004', 'kress_carmichael1991', 'oneill2006', 'oneill2018', 'putirka2016_6b', 'putirka2016_6c', 'sun2024', 'zhang2017'] \n", "Kd models: ['blundy2020', 'fixed', 'putirka2016_8a', 'putirka2016_8b', 'putirka2016_8c', 'putirka2016_8d', 'saper2022', 'sun2020', 'toplis2005']\n" ] }, { "data": { "text/html": [ "
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NaN 96.69 NaN 1538.15 10000 NaN \n", "4 ... NaN 97.12 NaN 1548.15 7000 NaN \n", ".. ... ... ... ... ... ... ... \n", "89 ... NaN NaN NaN 1573.15 1 0.800000 \n", "90 ... NaN NaN NaN 1573.15 1 0.118000 \n", "91 ... NaN NaN NaN 1573.15 1 0.800000 \n", "92 ... NaN NaN NaN 1773.15 1 0.171265 \n", "93 ... NaN NaN NaN 1669.15 1 0.584416 \n", "\n", " olivine_forsterite fO2 kd_FeTMg kd_Fe2Mg \n", "0 0.905000 NaN 0.222 NaN \n", "1 0.918000 NaN 0.167 NaN \n", "2 0.914000 NaN 0.195 NaN \n", "3 0.949000 NaN 0.107 NaN \n", "4 0.943000 NaN 0.144 NaN \n", ".. ... ... ... ... \n", "89 0.957000 2.090000e-01 NaN 0.463930 \n", "90 0.817900 1.000000e-08 NaN 0.324638 \n", "91 0.965400 2.090000e-01 NaN 0.375529 \n", "92 0.922940 3.090000e-06 NaN 0.338426 \n", "93 0.969658 2.089296e-01 NaN 0.124945 \n", "\n", "[94 rows x 26 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(\"Fe3Fe2 models: \", mp.Fe3Fe2_models, \"\\nKd models: \", mp.Kd_ol_FeMg_models)\n", "\n", "calibration_data_Kd = get_calibration_data(parameter=\"Kd\", model=\"blundy2020\")\n", "calibration_data_Kd" ] }, { "cell_type": "markdown", "id": "6ee11a7e", "metadata": {}, "source": [ "The function `plot_calibration_PT` plots pressures as a function of temperature for experiments from the calibration datasets. The parameter you want to show needs to be passed as an argument, so here we use `Fe3Fe2`. Without any other arguments, the plot will include all available models." ] }, { "cell_type": "code", "execution_count": 5, "id": "962168b1", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_calibration_PT(parameter=\"Fe3Fe2\")" ] }, { "cell_type": "markdown", "id": "2dccb8d8", "metadata": {}, "source": [ "The plot includes kernel density estimates (kde) on the x- and y-axis. For models calibrated in a narrow pressure or temperature range, these kde's are very narrow and do not provide much information. The kde's can be removed by passing `False` to the `sidekde` argument. Note that many models use some of the same experiments in their calibrations, so many symbols overlap." ] }, { "cell_type": "code", "execution_count": 6, "id": "07457165", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = plot_calibration_PT(parameter=\"Fe3Fe2\", sidekde=False)\n" ] }, { "cell_type": "markdown", "id": "3c5b1db7", "metadata": {}, "source": [ "By passing a model name, or a list of model names to the `models` argument, one or more models can be plotted. Available models are listed in the `mp.Fe3Fe2_models` variable." ] }, { "cell_type": "code", "execution_count": 7, "id": "e6e1fbb2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['armstrong2019', 'borisov2018', 'deng2020', 'fixed', 'hirschmann2022', 'jayasuriya2004', 'kress_carmichael1991', 'oneill2006', 'oneill2018', 'putirka2016_6b', 'putirka2016_6c', 'sun2024', 'zhang2017']\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(mp.Fe3Fe2_models)\n", "plot_calibration_PT(parameter=\"Kd\", models=\"sun2020\")" ] }, { "cell_type": "code", "execution_count": 8, "id": "874af93d", "metadata": {}, "outputs": [ { "data": { "image/png": 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3f30tFwisrdHEQ8PXXaO+G9R21fBwAjcDOOs1UIqzf5rJygGPxq5YnHRk5ymyTYrMPEWmUZF0LheL3gVcPcgwKTLzLGTkmcnKM2PMM2HMM5Nb2jfBDXBzdcWrlic+tWtTp25d6jXwpUGDBvj5+dGwYUOaNGmCv78/gYGB+Pj4yNwq4oZJ4RYAnDhxgs6dO9I1yoUvZgdw6PBBfFt74tngxobxXevPxPyrJLdvy2HntjySLloAaF5Po2MDjYgGOtrU02hZV4evO+UqamaT4uhRE8ZsaBjmiYtX0XPt6WdzuPhHFuFhYdSpU6fEfViUIsdkIdesyLNYyLMoTFcfZqUwWxRmBeaC5UqRZ1bkmi3kWixkmyxk5VnIzDOTkWsmPdfEZaOJlOw8LhnzSMq2cD4zl/NXjJjMFutxa3l6EBQQQHCz5gQHBxd5BAUF4epa+X/lCMclhVtw4cIFevToip5LbP0ukpMnDoCLKX/43w3KylLs3J7Llugctm7K5VS8GU2DCF+NPk109Giio0sjHT6uN9fqNJkUx4+ZyMxUNGjliUf9QkMPFZw7lIEpAzp07IiLc8V8Cd0Ii1JcyMzlTHoOp9OziU8zEp+WTVxqNrHpucSnZJJXqLA39G1AYGAgAUFNadKkCY0aNcLPz4/69etTt25dfHx8qFWrFp6enri4uKDTlX4zK6UUFosFk8mE2WxGKUXBf/uCLiGDwSB/ATgQKdw1SE5ODq+//jrPPvssLi7lu0rx9OnTDBo0gPTUP9n6XRTZWQkkJZ2nSUcvnNzK32drNiuO/GZi65ZctkXnsDcmjzxTfpdHf38dtwXq6B1w84W6MIvFgk6nw2JWnIw1k3zJgndjF+oGu6Hp849jzlUk7k3HzcWDyIgIu+2HNlsUf17J4VSqkbirRT0hLZuEjFz+zMgjMTWTLJOl1Nc7ORnQ6/TodBqapqGUwmy2YLaYMZWjO0in0+Hq4oynhwdetWpRp25d6tarj+813TxBQUE0bdoUT8+ypzuw1Y18fm9VUririFKK2NhYoqOj2bVrF4cPHyA+Pp7k5FTMZjPu7q40aFCPpk1DaNs2jPbt29OpUydatGhx3dZUYenp6Xh7e5OWloaXV9kz961evZpHHx2Hh1s267+MwEl3ibi4UzRo5Ukt3+u3Tgtaunt257F7Ry67d+aSmqbwcIaeTXQMCNRxW5CO0Npa5bTklMJkNmPQ60HL7/M+f97C6dNmdAYNnyA3avm5oOkg54qZsweuUMuzFu3aheFkcKzLF0xmM1u3biWqczdScsxczjaRmp1Heq6ZzDwz2SYLOWaLtVsH8ofc6zTQ6zQMOg2Dlv+vTtPQaaDTNBQKi4I8syLHbCErL39/aTlmLmfnkWzMIynbzNmMPM6lZxX5i8C3fj2aNWtG85ataN68OS1btqRly5YEBwfj5HRjF1zZ+vm9lUnhrkRGo5Ho6GjWrl3L2rXfc+rUaXQ6jXatvIlo407TQDfq1XHCyaAjy2jmXFIOp+KNHDpm5I/YdAC8vWvRoUMHoqI60Lp1a0JCQmjcuDH16tXD09OzSFEvzwc/JSWFn376iblzPyI6egt3DmjAvLdbkJ6awNmzZ6nT1A2fwKITQRWM+Dh21MRvh/I4dCCPQwfzyMwCZz10aqTRq7GOPgF6OjXU8k8eVrZrC/dVOdmK0wn5rW+9QcOjvjPudZzQdJB0LAuD3kDzZi2oV69u5cdYQQoKd8+ePfPzrQYWpTifkUtcmpFTqUZiU4ycTDHye2oOf1zO4kp2/pllg0FPSFAQLVu3oXmLFjRv3pxmzZoREhJCo0aNrtsIkcJdflK4K1BycjL79+9n165dbN68iW3btpOdnUOgvyeD+/twe5+69OlWB68yZroDSEvPI+ZAOrv3pbH3QDoHj2URn5BRbDtnZyfrpeYakJObg6enBy7OLri4uuLu5oaziwvKYiH5cjLnzl0EoFNkbf45rh6dIywk/nmOlFQTFm9XruTpOXvWTOIZM6fjzMSdNBEXb7aO+GjsrdG+vkZHv/w+6vZ+Gq7VMca7lMJdINuoSEoyk5ysyM7O/4gbnDWUJf+kprOTE7Vr16Z27dp4e9fG1dUVg8E+u1HsoXBfj1KKcxm5HE/O5PjlLH5PzuKPq0X9dEoGBRXGxdmZQP8mBAWHEBAYWKTv3s/PD1dXV8LCwkhNTZV51ctwyxVus9lMZmamTa9Zs2YNb7zxBrm5ueTl5WE0GsnKyiItLe26r2se7E6/nnVoEeJxQ1cRZmZmcvlyMhYFWBRZ2WbOXzCTnGrhSgYYcyEvD0ym/H9T0iE3DyryHdUBTb0g1Auae2nUtqOuR6VUubphTCbIzVHkmsByo6P/NNBpOvQ6ff4xNdDQrO+rq5sbdevWLXIhUEWxWPK72UJCQipl/5Upx2QhPj2H+NT8fvvTadnX7asvr8Lj7guPvS8Yd1/ws6ZpxR6DBg1iypQp5erSUUrxxx9/EBkZicGOuthuucJ97NgxWrduXd1hCCEciL1139jPV0gVadgwf36Lo0ePUqvWjQ93s0dKKbKzs3F1da3xQ7sk15rHHvM8d+4cnTp1qu4wirGrwj1//nz++9//cuzYMWbPns3EiROt6ywWC//6179Yuzb/bt5PPfUUTzzxhHX9K6+8woIFCwD4+9//zssvv1ziMQpOjjRu3NiuvkErglIKo9GIm5ub3XzwK4vkWvPcKnlWBLsq3O3bt2f58uW8/vrrxdYtWbKEo0eP8scff5CWlkZUVBT9+vWjZcuWbNmyhS+//JJDhw5hMBjo3r07PXr04Pbbb6+GLIS4eXl5eZjN+R3ySilycnKsfbQ1lb3kqdfrb3hIY1Wxq8IdHh4OUOKQoWXLljFhwgT0ej116tThvvvu46uvvmLmzJksW7aMMWPG4OHhAcC4ceP48ssvpXALh5SXl0dsbCyFTz8VXGxU09lDnpqmERISYtfF264K9/UkJCQQGBhofR4UFMTevXut63r37l1k3TfffHPd/aWlpRX5j+Hi4uLwV2sV5HMrnG+uybmaTCaUUjRs2ND6mbSHglYVqjvPnJwczp07h8lkwmAwWD9f6enpRbar7npRpYW7Z8+eHDt2rMR1+/fvx9+/+F1NCiv859O1/2Gvt64kAQFFb381bdo0pk+fXubrHEF2dnZ1h1BlamKuOTk5WCwWnJyccK7G+VVuRRaLBYvFQnZ2tvVkKVCsNr3wwgvMnDmzGiLMV6WFe+vWrTf82oCAAOLj4+nYsSOQP8dGQfEtWFeg8LrSJCQkFDk5Wd3foBXBHs/KV5aanKumaeh0OusDqr8lWlWqO8+C37mrq6v1AXDmzJli9aI6OcwnYcSIEcybNw+z2czly5dZtmwZ999/v3XdF198QWZmJjk5OcyfP5+RI0ded3/e3t5FHgUFwNEfQLXHILlWbG6FlbZ9njmPTzd+xPjPH6zSOL/44gt27drF6dOnGTFiBJqm0bdvXzIzM/nxxx/p3r07PXv25J///Kf1NbNnz6ZHjx4MHTqU9PR0NE1jxowZNG7cmMmTJ1vzPH78OD169KB3796MHz++2j5XAF5eXkUeUrgLWbJkCU2aNOHrr79mxowZNGnShP379wPw4IMP0uLq3AcdO3Zk8uTJtGrVCoA+ffpw33330a5dO1q1asXAgQMZNGhQdaYiRJXINeXyyYYP6fFqOCu1GRxNOlilxx8zZgxdu3YtcV3btm3ZsmUL27Zt4/Lly8TExHDx4kW+//57tm3bxqhRo/jwww8BmDhxIkuWLCny+o8//pgZM2awZcsWsrKyOHiwanOzZ3Z1cnL06NGMHj26xHV6vd76Jpfk+eef5/nnn6+s0ISwK7mmXBZGf8pn2z+gTo8LhE0zojPA8b22t8VMJhMPPfQQf/75Jx4eHrzyyitMnDiRhg0bcuLECd59911uu+029u7dy+TJkzGZTNx111385z//YebMmXTo0IG2bdsW22/h7sqCy9JjYmLo06cPmpZ/6fnDDz8MgJ+fX7HzX61bt7YOIsjMzCz1Zhi3IrtqcQshymfSggm8u/052k6JJ6BfftG+Ud9++y0BAQFs3ryZUaNG8f3335OcnMyyZctYsWIFH330EQBTpkxh5cqVbN26le3bt3PhwoVy7f/XX3/l0qVLREZGkpqaau0r9vb25vLly6W+7rbbbmPatGm0atUKb2/vMgcvVKa5c+dW27FLIoVbCAf0/ti5PNX9FX57M4iEjW5YTDe+r9jYWOtJ/44dO3Ly5Enatm2LwWDA39+flJQUAA4fPsw999xDnz59OHXqFGfOnClz34mJifzrX/9i4cKFAPj4+FiH1qWmpl63FT19+nQWLFjA8ePH8fb2Zt26dTee5E16//33q+3YJZHCLYQDcjY4M/62J9k2/SD38jKHXssv4Gaz7TPvhYaGEhMTA0BMTAzNmjUrclK0YHhteHg4q1atIjo6mn379tG+ffvr7jcjI4O///3vzJ07l/r16wPQoUMHoqOjAVi/fj3du3e/7j4KCnvt2rVJTU21Obeayq76uIUQtiko4GP6/IOF0Z8S02Cnzfu4++67WblyJb169cLDw4NXX32VQ4cOFdvujTfe4N5778ViseDs7Mx333133f3OmTOH2NhY65xDL774Ir1792bo0KF0794dHx8fli5dCsB7773HokWLuHTpEufOnePLL79k2rRp1qulfXx8mDZtms251VS33LSuNfkuG7fSJD01Odfs7Gzi4uJo2rQprq6u1pv96nS6GpdrYfaQ57W/+8TERPz9/WncuDGJiYnVElNJpKtECCEcjBRuIYRwMFK4hRDCwUjhFkKIMtjbqUAp3EII4WCkcAshyiU6Opo//vgDgAMHDvDxxx8X22bhwoV88MEHZe5rwYIFdOvWja5du/LGG29Yl0+ePJlevXrxwAMPkJubC8DYsWOpX79+kf3m5OTw2GOP0a9fP+6+++5Sj/PVV1/Rr18/evXqxZ49e4iPj2f48OHlTdluSeEWwoEpUy6mr8eiTLmVfqzChTsiIoLHH3+8yHqLpfwX//Tp04ft27ezY8cO1qxZQ1JSEvv37+fChQts2bKF1q1bW2+G8tprr/H2228Xef2cOXMYMmQIv/zyS6njyc+ePcuqVavYuHEjW7Zsscub/t4oKdxCODBLzCeoP1diifnkhvcRHR3N0KFD+dvf/kbHjh05dOgQHTp0sK7v0qULRqORhQsX8uyzzzJ27Fiio6P5z3/+A0BUVBQTJ060ThgFkJKSwp133snhw4dZvHgx/fr1IyoqisWLFwPQtGlT67SpTk5O6PV6du7cyYABAwAYNGgQO3bsAKBhw4bFYl63bh1bt26lT58+zJs3r8S81q1bh4uLCwMGDODBBx8kIyMDgKSkJEaMGEFUVBQbN2684d9bdZLCLYSDUqZcLHvnoB+Sg2XvnJtqdaekpLBq1SqWLl3KjBkziq13c3NjzJgxvP766yxYsKDYa//9739bi/LFixd54IEHePvtt2nXrh3Dhg3jl19+YefOncXm/Fi9ejXNmjWjbt26Nk1AdebMGbp27cqGDRv43//+V+LFMRcuXCA1NZWff/6Zbt26Wbtazpw5w5IlS9iwYYPDzigqhVsIB2WJ+QRdSBKak4YuJOmmWt2RkZFomkbz5s1JSkoqsq6sERU+Pj6EhoZan3/22Wf079/fOl/+zz//TO/evRk4cKC1qwXg0KFDzJ49m/fee8+6n/JOQFW7dm369++PwWCgW7duRfZbeJu+ffuiaRr9+vXj6NGjQP484S4uLtSpU8em7h17IoVbCAdU0NrWWhgB0FoYb6rVfeDAAZRSnDx5kgYNGqDX60lPTyc9PZ0TJ04A+XNqm83mYq+99lZjzzzzDDExMaxZswbIn6Nk9erVrF+/Hk9PTwDOnTvHY489xpIlS3BzcwPyu2R+/vlnoOwJqLp3786BAwcAOHjwIEFBQdfdZv/+/QQHBwNw5MgRcnNzSUlJcdjbwckkU0I4IGtrW3/1Vlv6v1rd+q4Tbd6ft7c3Q4cO5cKFC3z++eccOHCAXr160aZNGxo1agRAv379mDJlCps3b+Zvf/tbqfvS6/UsWrSI+++/H3d3d4YNG0bfvn2JiIjAx8cHgJkzZ5KUlMTf//53AObNm0dkZCS+vr706tWLgIAA623Mnn32WVavXo3ZbCY2Npb//ve/TJkyhTFjxjBt2jQGDRpkLcqFhYWF0bBhQ/r06YObmxtLly4lPT2dJk2aMGrUKOLi4njrrbfK9fuxt3HcMslUDVKTJ166Vk3OtTyTTJm+fgB16QDoCuVuUWj1IjCMWGrT8aKjo1mzZg2zZs2qwCxsZ8+TTDVs2JCzZ89WS0wlkRa3EA7I1uJc023evJkXXnihyLKCeb9rIincQtzi+vTpQ58+fao7jJvSu3fvSi3U9tYx4Zg980IIcQuTwi2EEA5GCrcQQpRBukqEEDVafHw8P/30U6Xse+LEifTo0YMuXbqwfv16IP+mxHfddRc9evSwTlh15coVOnfujKenJ7/99pv19e+88w7dunVj4MCBdjVKxFZSuIVwQCrlPCrx9+KPlPMVepwbubKwtMJdEVcpPvXUU2zbto0ff/zRemn+p59+ytChQ9m2bRvR0dEkJibi5ubGmjVriswEeP78eX744Qe2b9/OK6+8wssvv1zu49pbi1tGlQjhiDLTYEKb4svnHgEfP5t2deHCBf7+97+Tl5dHgwYNePPNNxkzZgx+fn507NiRtWvXEh4ezq5du/jb3/7GhQsX2LNnD8OGDWPy5Mk899xz/PLLLxgMBt566y0+/vhjduzYwd69e1m1ahVdu3alQ4cO1K9fn4cffpjHH38cpRSDBw/mueeeY+bMmZw4cYLk5GQyMzNZt24dHh4ePPHEExw5coQuXbqwe/duoqOjrRfauLi4WK963Llzp3UM+oABA9i1axfDhw+nfv36RfI8ffo0bdq0QdM0oqKieOSRR8r9O5LCLYSwKz4+Pqxfvx6DwcBTTz3FL7/8wtmzZ9m4cSPOzs6sXbuW++67j9mzZ9O0aVO+++47/vvf/xIVFcXkyZNZv349O3fuxGAwYLFYePzxx/H397cW08TERLZv346Pjw933nknn332GS1btuT2228nPj4egBYtWjBjxgymTZvGhg0baNSoEampqWzevJkNGzawe/fuIjFPnz6dSZMmAZR7cqqQkBBiYmLIyclh06ZNpKSkVNJvtPJJ4RbiFnf58mUmTJhASkoK586dw9vbm/DwcJydna3bhIWFoWkafn5+hIeHW6djBXjllVd47LHHMBgMvPjii8X2Hxoaar3U/cKFC9bJp6KiooiNjQXyJ7kC8Pf3JyUlBaPRSPv27QHo2LFjkf0tWLCA3Nxc6+XyBZNT1a5dm9TU1BLnLQGoV68eEyZMYODAgURERNCiRYty/47srcUtfdxC3OKWLl3KwIED2bx5M3feeSeBgYHFJl8qfAn6tZej9+rVi88//5zevXvzySefFJuMqvC+fH19OXbsGEop9u3bR0hISLF9KqUICQlh//79APz666/WdZs2bWLFihXWGQUhf3Kqgj71DRs20LVr11JzHTNmDJs3b+aee+6hX79+Zf9y7JS0uIW4xfXv358HH3yQ9evX4+7uTlhYmE2vv/vuuzEajeTk5PDZZ58RGBjIs88+y/Dhw4vN3f3qq6/y6KOPopRiyJAhpbaOO3bsiIeHB7179yYqKsraup8wYQKenp7cdtttuLm58eOPP/Loo48yevRoFixYwNChQ2ncuDEAgwcP5sCBA/z+++889thjjBkzhpEjR3Lx4kUCAwP58MMPy52jvbW4ZZKpGqQmT7x0rZqca3kmmVIp5/NPUF7LwxvNxpOT9uLaPPPy8nBycmLDhg2sWLGixHtcVrTSJpmqU6cOycnJlX788pIWtxAOSPPxs3n0iKN57LHHiI2NxWw2s2jRomqNxd7at1K4hRB2af78+dUdgpW9FW45OSmEEGWwt8ItLW4h7FROTg5gHzcYqAr2kGfB7/xa9nZvSincQtgZvV6PpmlF5tIoKGg1nT3kqWkaer2+yDJpcQshrsvJyYmQkBDrWGilFNnZ2bi6utb4Frc95KnX663DDwtIi1sIUSYnJydr8VBKoZSq9oJW2ew5T3trcdf8v72EEOImSeEWQggHY29dJVK4hRCiDFK4hRDCwUhXiRBCOJjCsx3aAyncQgjhYKRwCyGEg5HCLYQQDqZGFe4TJ07QrVs3mjdvTqdOnTh69Gh1hySEEBWuRl05+dhjjzF+/HjGjBnDN998wyOPPMLOnTurO6wyKVMupm/GohJjMEzch87V07rc/O1j6O+Zh2ZwLmMvYEo7j/6dEFIC+xKxdxvZ5HJXh2F8+ugSADKyM3hy/j84lLiX/a+dsO7fMnQOC7d9QUz8Tj59dAkZGZfZ914n/pVmIiXLSJblCuGN2jAz9RAdXGCzEVJ1+R+eIU6ADvpfgD+cdKDBhffTyHszDJUSBy4w9CRc8IQ9fkAuUDANhB5O3jEfVzcv6uvAU6ehLIoEMzSxpGNZNQ5yACdAg0nnYY2LxixPxb3T48maE0mr2HQy9ApXF0V8r2GoM7s5hgdHzx/nqSsaOh0sC/Sn0//tt+b4yZj5V3/fe/is5VjmbpmP3qCx/7UTFf/mClEJakzhTkpKYt++fdZ7zw0bNoyJEycSHx9f6u2RqkPu6b3waXf4x3acAzsAYIn5BHVqBZqzwrR0OM6PrAPAvHMOlmP/A7+2GHo+Xfa+P2qPk5MZ9/gN/F9HjffiNI4mHbQW7I0n1tDsDhOX4/Ivpc7b/THmM8uZ89o6fumdQ8rZhjz80Sgan/qWaX6KQRaNXX/T+H0ddMg4THsn0PlALwsoT9CyQdOD5gk/AyHG/DhSt7yDe3Ycmhto3rA6FHJ1oPMGlQa4AjmgeUErTy+05+6x5qABQYB65Vvwyd9e8waVA+81hro5cGd9OPpGEG3qwXu+8F5/HV03gPnUCnRK0dIFQuvA+dZwOQ4inM4w+7Vm/NI7hytJjcnb/TGWUyvQOSua7HyROn11xP1SdG4KIa711ltvERoaSpMmTfD19aVevXq4u7tXy+X5NaZwnzlzhkaNGmEw5KekaRoBAQEkJCSUWLjT0tKKjM10cXHBxcWl8gP9rDtabVCfdUe9lJ3f6o15D81VoR+qYfpyE2bjFTSDM5YtL6PVAsuWl7F0mVhqq/vk+ZPc82Ik+/zy0LxBlwYj0xWfusKfSedo+WxDmt1hYtA/QGeAuI3w6U/vMXD3NPxHmhn942W+Oq7x58U4Ukyx/FhL4X6Xxr9+VEzcq/Bxg/M5oPMC/V0a6ksFaYBH/vGVCfTO0DLHwv4zGpfXzsRDD3he3X6RwtU5/2fTVyq/xW0A3Z2gGUq+i4vm6WfdXrsDWA86E0wyKNwGQ5uVYLhLY9ByxaauFh7dAToX0DQwDNXQfa8YlakwuoD7XRoPrrtMXC+NXZtS+PPnZ2jiBfqhGgOXK37qY+F0tGZ3Y3ULFMRlr/FVFHvMs3As05+bitmkKByeTqfD2cUZFxcX3NxccXfzwM3NDYPBQNOmTWnatClKKTSt+Ofr2uejRo2ic+fO5YqrxhRuKH736et9AAICAoo8nzZtGtOnT6+UuKwS92EoVMCMJ7ajnYvB4H4GXSMNzUlDF6HIW3wvKqQfeoMR/Z0appVGcra8i+r6rxJ32+W5MPb7WsCdq9srfNJgaCosq5XJwOlgKPSdZDabObttOvW7mNGcNGoFwpC9sMBNcb+Chh3zY6nTVME+0HygcQroIrDGaNlJfuHWgWYB5Qw/5MLzDcDfLf84usj87UFZf9ZFKCx7QPMHYjVoWcppFk2HZsjfXu0EXQsN8++KeiHkP7+6P0OY4l9fQKNGV1v/vleP0wJ8zim8XPOfe4dAj73glXmJhq1A1yQ/R0M7xYPfwRry72Fpz7Kzs6s7hCphT3kWjmXIEI0t0YqU1L/WWywWso3ZZBuzSUsteg/QgwcP2nSs9957r9xfWjWmcPv7+5OYmIjJZMJgMKCU4syZM8UKdIGEhIQiNwuuihZ33uL+6Dr/VcAMi/pDgwAwK7QW+V86ujYaugNbIGnPX8WurYJdb2Lo9VSJre5dU3/Bb2kfdG0KbR8DE7wVK9M8+OnZXJoNMhHSL7/F7arT8c9anri2SAHAoy08ckSxJBXG1lK4Xo1F3wLMh662mr9SaC2xxmg5oOA84AP6+zRMyxV6Z3jcReX3Y3uCrpVG3mULOOf/DKBrnf9alQLmKwpdm1K6KHROmI0WdK01TIcUqruCA6BCQP0G+r5/7a/JAQVugA50ffKXay1B9wdoCpRZ4doC+q9VdPcGfSZoLf7KJfwrhbtF4ebmdrNvcaWwl+lOK5s95unq6mr9Ofty0aIN4OvXAK9a3nh6elof3t7e1K1bl9DQUHx9fTEYDCU+nJycrHOvAzRr1qzccdWYwt2gQQMiIyNZsmQJY8aMYcWKFQQFBZXav+3t7V2ld3nPPb23eAH7VaG5nUHXWEPTXy04+qut0n3Z6Fpe3balhuU3I5ZdH5TY1x244n5w55rtFQ2NMMHHjcemnObJ+f9g3bo1NBtkYqTOjHeb7CLHrN8O5mW74ReRg6a/+q1/QkMXrqxfNJzQoE2hGHeCLvzql0WYwnICmuSSX0Aj87fjO4WuE8XzK2h1U8p/UE3D8iPo783ft9oOujCw/HT1mNfu7zfQ2l2zvDlYzinU8fwCXTsIyFXoWhT9fRvaKd7YlWc3xaI0mqbZfYwVwZ7yLBzH+i2KkSNH0qJFC7y9vencuTPdunWrnriUPXUo3aTff/+dMWPGkJycjJeXF1988QVt2rQpsk16ejre3t6kpaVVbeGe4YKuM+jb/tU1kLfKAqmAM38NzFRXH2ZwGv3XtuZDFix/NML5P3HF9/28C7oOoA+7Zvu98KtHE7pOiQX+GlVy//l1DGjYCHT5H0qlID0zBVNWJnXrNcaiLGgppwAwjMwvcsqs8vunvfL7kVU2cAUMDxVa/z8FeVdzcSa/JucU+rmAIr9VrgOnR4/AmWPFf2H+rcj7pA24FNreudC/hfdnIf+4ToV+j1ePYzFBrmbAtX5T8lJPY8jORbvm9coCSbl6/F/MKh6HHVAqvxvHzc3NbgpaZbDHPBMTE/H39wfghx9+YPDgwdUcUb4a0+IGaNGihf0O/9OD5RBYDheaZUwVehSefMwCmCBvWaHbJyk9OJfSH1y7CZajF7AUrn9KD7V96fpUrHWRp6snXzzxZYm7qFfo57wv7wenU8X/EminsBwA5XQ1Zq14yzd3D7Qx6+j7VNF+9R8n6/Co5Uy3KdlFls+Nz0R7+a9RJdbw5/xKmOZOt/8ruv2G//PC2Se32H6Ov9WcLVNK7lMs+GP3egMq/a+zTgjAboo21LDCbc+cZ5Z8E9IK2ffV4lxRLRZ1bi9kgPmiwnyw0B9kFv76grm6OG+Zpch6vYc3vbz689Oza4r0q+v1Bp7q/gqfvfkBdbpfoElvIzoDaG5eMHt3sRg0N68St//qobk092xE2u8p6NzMGNwUmgZnBppuOF8hHE2N6iopj+rqKqkKlfWnZu6rtUEzFu2eyAP0Glq90L+WWRRavQgMI5YWHTs+yMSpDU6cfjudXFMuC6M/5bPt+QX5x5Bo+GdU8YPO2YfWNKzY9vPqf0nA9CHFNk949QcCw2+vsJztiT12IVQGe8yzcFeJPZVKaXGLMjlPT7X5NQXdMgUFPNVpb/6+DM6Mv+1JxvT5BwujPy372Nds72IoeeRPacuFqImkxV2D2GOLpSzq7MlST05qjUKLb3/uFCQcKbY8t1EoLv6tKiPEaueI7+uNsMc8pcUtRElysqCEk5PM2VfK9pklbq97b08FByaE/apRswMKIcStQFrconq5uMOMb0teXgILJbc2dDr5KItbh3zaRfWysauktD8RLRYT+lLWCVHTSOEW1cvGFndpl8jrS2lxq5TzkJlWfIWHN5pPyTMTVsY+hKhIUrhF9bL15KSza8mF3rmUCaIy02BCm+LL5x6B8hbditiHEBVICrdwLLnGEgu96b3d172kXYiaRAq3cCh55jxsuleN3qnkFrpe7ngjHJcUblG9tNJvpFASp1KukDQpVXKLu5Rx33ywv3zxCWGHZBy3qGalXY1WynJ9yW2Nc1fOV0w4QjgAaXGL6uVWq+QTkW61St7ewzv/pCCgLBaUBklpF0gyJhNS0valXDp9dVba8il0zGLLhagGUrhF9crLKXl2wJIKJeQPv/Pxy7/N1dV5LRr6t6Jhafu3WGxbfp1jCmEvpKtE3JrsYw4jIW6ItLhFzeZWq9QbNQjhqGwq3BkZGSxbtoyNGzeSmJiIm5sb4eHhDBs2jM6dO1dWjELcOOMV+Hfxz6aa86s0uoXDKnfhfuONN/j000+5/fbbueOOO/Dz8yM7O5tjx47x7LPPYrFYmDt3Li1btqzMeIWwTSknJ7XShiGWQC55F/am3IXb09OT48eP4+RU9MKFoUOH8swzz3Ds2DHOnDkjhVvYprJHbJQ2+b0tk+LLJe/CzpS7cE+cOBGz2cyKFSsYNmxYsfWtWrWiVauaeQcSUXkqfcRGaXdSsZM7rAhxI2waVaLX63n33XcrKxYh7JO5lDvIl7ZciEpm86iSDh06sHPnTrp27VoZ8QhRsVw8Spk21qP8+1CljPkubbkQlczmwr1lyxY+/PBDmjdvjqenp3X5nj1yzz9hh8x5Jc9VUsoFPkI4ApsL9+zZsyshDCEqSUWc/HT1LHEsOK6exZddh0pKgKwSRqe4e6M1CLBpX+LWZnPh7t27d2XEIUSlqJCTn6WMBS/1Zg+lyUqDiZHFl8tMhcJGNhfuS5cu8eKLL3Lw4EGys7Oty6WrRAghqobNc5WMGzeOJk2acP78eWbMmEGDBg24/fbbKyM2IeyDjXOGC1HZbP7kJSQkMGXKFFxdXRk6dCgrV65kx44dlRGbEPZBRpUIO2Nz4XZ2zr/PiIuLC5cvX8ZgMJCYmFjhgQlhN+QiHmFnbO7jbtGiBZcvX2b06NF06dIFb29vIiNLOOEiRE3h7GbbneVL4+5d8olId7khg7CNzYV78eLFAPzrX/+iQ4cOpKSkcMcdd1R4YELYjVLuLG/raBAZ8icqyg3Nx/3nn3+ydetWNE2jR48e6PX6io5LCCFEKWzu4/7qq6+IiIhg2bJlfPXVV0RGRrJ8+fLKiE0I+yCjSoSdsbnFPXPmTPbs2UPTpk0BiI+PZ9CgQdx3330VHpwQdqGUO8uXulyISmbzJ69evXrWog0QFBREvXr1KjQoIexKBc0Zri7EQ1Z68RXuXmi+QTcUmrg1lbtwZ2VlATBgwABeeeUVHn30UZRSzJ8/n7vvvruy4hOi2lXYnOFZ6SXf0d7WS+fFLc+mO+Bomoa6eueQ559/3rpO0zT+85//VHx0Qgghiil34bZY5CoxIYSwBzafFl+/fn2xZXPnzq2QYIQQQpTN5sI9efJkDh8+bH2+ePFi5s+fX6FBCSGEKJ3No0q++uor7r//ftavX8+uXbuYNWsWv/zyS2XEJkTN4u5V8olId6+qj0U4NJsLd+vWrXn//fcZOHAgSik2btxI3bp1KyM2IWoUGfInKkq5C/czzzxT9IUGA82aNbPe9f2tt96q2MiEEEKUqNyF28Oj6F2x77mnhEl3hBBCVLpyF+4XXnihMuOwmjRpEqtXr+b06dMcPnyYtm3bApCUlMRDDz1EbGwsLi4uzJ07lx49egD5Fwc98sgjxMTEoNPpeOONN7j33nurJF4hhKhq5R5VUtZEUmfPnq2QO+EMHz6cbdu2ERgYWGT51KlT6dKlCydOnGDBggU88MADmEwmAGbNmoWLiwsnT55k/fr1PPHEE6SkpNx0LEJUJHUhHhV3qPjjQnx1hyYcTLlb3Lt37+bFF19k+PDhdOvWDT8/P4xGI8ePH2ft2rXExcUxb968mw6oV69eJS5fvnw5cXFxAHTs2BFfX1+2bdtGnz59WLZsGQsXLgSgadOm9OrVi1WrVjFmzJibjkeICiOXvIsKUu7C/c477/D0008zf/583n77bRITE3F3dycsLIyHHnqIIUOGoFXSrZySk5OxWCzUr1/fuiwoKIiEhAQg/z6YhVvohdeVJi0tzXr5PuTfis3FxaWCI69aBfkUzqumqmm5Xi+PmpZraewxz8KxpKf/NUFYddcLm4YDNmrUiOeee47nnnuusuIp1bVfCte+uYXXl+eNDwgoejeSadOmMX369JuI0H5kZ2dXdwhVxpFyvd6NzoxGY5mvd6Rcb4Y95Vk4Fm/vv2aDfOGFF5g5c2Y1RJTPISYULhgnfvHiRWur+/Tp09biGxAQQHx8fJF1gwcPvu4+ExIS8PL668KH6v4GrQhKKbKzs3F1da20v37sRU3L1c2t9LJe03ItjT3m6erqav05LS3N+nN11wqHKNwAI0aM4MMPP2TmzJnExMRw/vx566iSgnULFy4kLi6OzZs3lzl/ire3d5HCXZNommY3H/zK5ki5Xu/vwPLk4Ei53gx7yrMgDk3T7Kpe2F3hfvLJJ1m1ahXnz5/ntttuw9PTk5MnT/Lmm2/y4IMP0qxZM5ydnVm8eDEGQ374kydPZty4cYSGhqLT6fjwww+pU6dONWcixDXkkneHZS9fJAU0dYNnAkwmk7VwOpL09HS8vb1JS0uzq2/QiqCUwmg04ubmZncftIomudY89phnYmIi/v7+GAwG8vLyqjscK5tnBzxy5AgRERHW25f9+uuvTJkypcIDE0IIe2EvXyQFbC7cEydO5IMPPrDeZzIqKooffvihwgMTQgh74fCF+8qVK9aTgpCfkJOTU4UGJYQQ9sThC3dBX09BIomJieh0Nu9GCCHEDbqhrpJ77rmHS5cuMXPmTHr16sXkyZMrIzYhhLAL9tbitnlYyOjRowkODmbVqlVkZWXxxRdf0LNnz8qITQghRAlsKtxms5mIiAgOHz5Mt27dKismIYSwK/bW4rapq0Sv19OkSZNyzasghBA1hb0Vbpu7Spo3b07Pnj2577778PT0tC5/4oknKjQwIYQQJbO5cKenp9OuXTuOHTtmXWZv30ZCCFGR7K3G2Vy4FyxYUBlxCCGEKCebC/eiRYtKXP7QQw/ddDBCCCHKZnPh/v77760/Z2dns23bNrp06SKFWwghqojNhfvrr78u8jwuLo4ZM2ZUWEBCCCGu76avVW/atCm///57RcQihBCiHGxuca9du9b6s9lsZvfu3XZ3xlUIIWoymwv322+//deLDQZCQkJYtmxZhQYlhBCidDYX7k2bNlVGHEIIIcrJ5j7u77//nvT0dABmzZrF8OHD+e233yo8MCGEECWzucU9ffp0Dh06xMGDB1myZAmPP/44jz/+OFu3bq2M+ISoMVTKechMK77CwxvNx++WjUXYzubCXXCD4J9++onx48fz2GOPMW/evAoPTIgaJzMNJrQpvnzuEajqYmlPsQib2dxVYjab2bVrFytWrKBv374AdnX3YyGEqGhKqeoOoQibC/crr7zChAkT6NGjB61ateL333+nWbNmlRGbEEKIEtjcVTJ06FCGDh1qfd6iRQtWrlxZoUEJIYQonc0t7ueff57U1FSUUgwZMoR69eqxYsWKyohNCCFECWxuca9atYqXXnqJn3/+GYPBwPbt2xk1ahTDhg2rjPiEqDk8vPNP/pW0/FaOxQHYWx+3zYVbp8tvpG/evJkRI0bQokWLCg9KiJpI8/GzmxEb9hSLsJ3NhdvDw4M33niDr776iu3bt2OxWMjNza2M2IQQQpTA5j7uhQsXcv78ed566y18fX05deoUDzzwQGXEJoQQogSauoHOG7PZzJkzZwgKCqqEkCpXeno63t7epKWl4eXlVd3hVCilFEajETc3txo/Y6PkWvPYY56JiYn4+/vj6uqK0Wis7nCsbG5xb926lcDAQHr16gVATEwMDz74YIUHJoSoPCopARV/uPgjKaG6QxPlYHMf9zPPPMPmzZsZPnw4AB07dmTfvn0VHpgQohJlpcHEyOLLP9hf9bEIm9nc4jaZTISEhBRZ5uzsXGEBCSGEvbG34YA2F25XV1cyMjKsfVBHjhzB1dW1wgMTQghRMpu7SmbMmMHtt9/O2bNnGTNmDOvWrWPJkiWVEZsQQogS2FS4lVK0a9eOJUuWsG7dOpRSPPfcc4SGhlZWfEIIIa5hc4v7jjvu4MCBAzz++OOVEY8Qoiq41YI5JQwqcKtV9bEIm9lUuDVNIyQkhOTkZOrWrVtZMQkhKltWOvwzqvjykoq5sDs3dMl7ZGQkd955J56entblb731VoUGJoQQomQ2F+6QkJBiwwGFEEJUHZsK92+//Ua7du0IDw+X4i2EENWk3OO4P/roI3r27Mmbb75J+/bt+fbbbyszLiGEEKUod4v7o48+4vDhwzRp0oTDhw/z+OOPc88991RmbEKIyuLuVfKJSPeaNfFaTVXuwu3k5ESTJk0AaNeuHZmZmZUWlBCicmm+QdUdgrgJ5S7cOTk5HDt2zHrN/rXPW7duXTkRCiGEKKLchTsrK4vBgwcXWVbwXNM0Tp06VbGRCSGEnbCX+cELlLtwx8fHV2IYf8nOzmbkyJEcPXoUd3d3/Pz8mDt3LkFBQSQlJfHQQw8RGxuLi4sLc+fOpUePHkD+F8sjjzxCTEwMOp2ON954g3vvvbdKYhZCiKpk8zjuqjB+/HjuuOMONE3jgw8+YPz48fz0009MnTqVLl26sG7dOmJiYhg+fDixsbEYDAZmzZqFi4sLJ0+eJC4ujq5du9K3b198fHyqOx0h7I5KSsifk/ta7t5oDQKqPiBhE7sr3K6urkW6ZLp06cLs2bMBWL58OXFxcUD+DRx8fX3Ztm0bffr0YdmyZSxcuBCApk2b0qtXL1atWsWYMWOqOAMhHIDcSMEmDttVUl3ef/99hg4dSnJyMhaLhfr161vXBQUFkZCQf6ulhIQEAgMDS1xXkrS0tCKTo7u4uODi4lIJGVSdgnzsbdL3yiC5Vv7xqpo9vqeFY0lPT7f+XN31wq4L92uvvcaJEyeYO3cuRqOx2LfetW9w4fVlvfkBAUX/HJw2bRrTp0+/yYjtQ3Z2dnWHUGUk1xvjVtp/D0W13xTXnt7TgliMRiPe3t7W5S+88AIzZ86spqjsuHDPmjWLlStXsmHDBtzd3XF3dwfg4sWL1lb36dOnrQU4ICCA+Pj4IuuuHQVTWEJCQpG7vFf3N2hFUEqRnZ2Nq6ur3f1pV9Ek15tU2m40cHNzq5hj2Mge39OCu3u5u7tz7tw56/LqrhV2WbjfffddvvzySzZs2EDt2rWty0eMGMGHH37IzJkziYmJ4fz589ZRJQXrFi5cSFxcHJs3b2bu3LmlHsPb27tI4a5JNE2zmw9+ZZNcb8z1/h6t7t+nPb2nheOwp3phd4U7MTGRp59+muDgYPr27Qvkf7vt3r2bN998kwcffJBmzZrh7OzM4sWLMRjyU5g8eTLjxo0jNDQUnU7Hhx9+SJ06daozFSHsl7t3ySci3b2LLxN2R1P2dCagCqSnp+Pt7U1aWppdfYNWBKUURqMRNzc3u2mxVBbJteaxxzwTExPx9/fHw8ODjIyM6g7Hyua7vAshhKheUriFEKIM9vIXQAEp3EII4WCkcAshRBmkxS2EEA5GCrcQQoibIoVbCCEcjBRuIYQog711ldjdlZNCCPsj83fbFyncQoiy3eLzd9tbi1u6SoQQwsFI4RZCiDJIi1sIIcRNkcIthBAORk5OCiHKJvN32xUp3EKIMt3qQ/6kj1sIIcRNkcIthBBlkBa3EEKImyKFWwghyiAtbiGEEDdFCrcQQpRBWtxCCCFuihRuIYRwMFK4hRDCwUjhFkKIMkgftxBCiJsihVsIIcogLW4hhBA3RQq3EEI4GCncQghRBukqEUIIcVOkcAshhIORwi2EEA5GCrcQQjgYKdxCCFEGOTkphBDipkjhFkIIByOFWwghHIwUbiGEcDBSuIUQogxyclIIIcRNkcIthBAORgq3EEI4GCncQgjhYKRwCyGEg7HLwj1w4EDCwsKIiIigZ8+eHDhwAICkpCQGDRpEs2bNaNu2Ldu2bbO+Jisri1GjRhEaGkrz5s1ZuXJlNUUvhBCVy1DdAZRk+fLl1K5dG4DvvvuOcePGsW/fPqZOnUqXLl1Yt24dMTExDB8+nNjYWAwGA7NmzcLFxYWTJ08SFxdH165d6du3Lz4+PtWbjBBCVDC7bHEXFG2AtLQ0dLr8MJcvX86TTz4JQMeOHfH19bW2upctW2Zd17RpU3r16sWqVauqNnAhhKgCdtniBnjooYfYtGkTAOvWrSM5ORmLxUL9+vWt2wQFBZGQkABAQkICgYGBJa4rSVpaGkop63MXFxdcXFwqOo0qVZBP4bxqKsm15rHHPAvHlJ6ebl1e3fXCbgv3okWLAPjiiy+YPHkyixcvLnb10rVvcOH1Zb35AQEBRZ5PmzaN6dOn30zIdiM7O7u6Q6gykmvNY095FsRy7tw5vL29rctfeOEFZs6cWU1R2XHhLvDwww8zYcIE6/OLFy9aW92nT5+2FuCAgADi4+OLrBs8eHCp+01ISMDLy8v6vLq/QSuCUors7GxcXV3t7hLdiia51jz2mKerqysAjRo14tixY9bl1V0r7K5wp6enk5GRQaNGjQD49ttvqVu3LnXq1GHEiBF8+OGHzJw5k5iYGM6fP0+PHj0ArOsWLlxIXFwcmzdvZu7cuaUex9vbu0jhrkk0TbObD35lk1xrHnvKsyAOTdPsql7YXeFOS0tj2LBhGI1GdDod9evXZ82aNWiaxptvvsmDDz5Is2bNcHZ2ZvHixRgM+SlMnjyZcePGERoaik6n48MPP6ROnTrVnI0QQlQ8TdnTmYAqkJ6ejre3N2lpaXb1DVoRlFIYjUbc3NzspsVSWSTXmsce80xMTMTf35/GjRuTmJhY3eFY2eVwQCGEEKWTwi2EEA5GCrcQQjgYKdxCCOFgpHALIYSDkcIthBAORgq3EEKUISoqqrpDKEIKtxBClOHdd9+t7hCKkMIthBBlaNCgQXWHUIQUbiGEcDBSuIUQwsFI4RZCCAcjhVsIIRyMFO4aJCcnh1dffZWcnJzqDqXSSa41z62SZ0WQaV1rkLS0NGrXrk1qamqR2yzVRJJrzWOPeRZM62pv9UJa3EII4WCkcAshhIOxu1uXVbaCnqH09PRqjqTiFeSUnp5uN3cQqSySa81jj3leuXKlukMo0S3Xx13QZyWEEOV19OhRWrVqVd1hWN1yhdtisXD27Flq1aplN9/qQgj7ZLFYOHfuHM2bN0ev11d3OFa3XOEWQghHJycnhRDCwUjhFkIIByOF245NmjSJoKAgNE3jt99+sy5PSkpi0KBBNGvWjLZt27Jt2zbruqysLEaNGkVoaCjNmzdn5cqV1nUWi4V//vOfhISEEBoaykcffVSl+VxPabn26dOH4OBgIiIiiIiI4L///a91nSPmmp2dzd13303z5s2JiIhg0KBBxMfHAzXvfb1erjXtfa1yStitzZs3qzNnzqjAwEB1+PBh6/KxY8eqF154QSml1J49e1RAQIDKy8tTSin14osvqocfflgppdSpU6eUr6+vunz5slJKqS+++EL169dPmUwmlZycrAIDA9WxY8eqNKfSlJZr79691ffff1/iaxwxV6PRqH744QdlsViUUkrNmTNHDRgwQClV897X6+Va097XqiaF2wFcW8w8PDxUUlKS9XnHjh3Vpk2blFJKtW7dWu3Zs8e6bsSIEWrBggVKKaUGDx6sli9fbl03efJka6GwF7YUbkfPVSmlYmJiVEhIiFKqZr+vShXNtaa/r5VNukocTHJyMhaLhfr161uXBQUFkZCQAEBCQgKBgYE2r7NnkydPpl27dtx///2cOnXKurwm5Pr+++8zdOjQW+J9Lci1QE1+XyubFG4HdO34c3XNiM7C621ZZ48WL17MsWPHOHToED179uTOO+8sst6Rc33ttdc4ceIEr776KlCz39drc63J72tVkMLtYOrWrQvAxYsXrctOnz5NQEAAAAEBAdYTQLass1cFV7lqmsbEiRM5deoUycnJgGPnOmvWLFauXMmPP/6Iu7t7jX5fr80Vau77WmWqq49GlN+1/b4PP/xwkZNY/v7+1pNYL7zwQpETOw0aNFDJyclKKaUWLFig+vfvbz2xExAQoI4ePVqluZSlcK55eXnq/Pnz1nXffPONCggIsD531FzfeecdFRUVZT3hVqAmvq8l5VpT39eqJIXbjj3xxBOqcePGSq/XK19fX+uJnfPnz6sBAwao0NBQ1bp1axUdHW19TUZGhrrvvvtUSEiIatasmfr666+t60wmk3riiSdUcHCwCg4OVnPmzKnynEpTUq4ZGRmqffv2qm3btiosLEz169dPHThwwPoaR8z1zJkzClDBwcEqPDxchYeHq06dOimlat77WlquNfF9rWpyybsQQjgY6eMWQggHI4VbCCEcjBRuIYRwMFK4hRDCwUjhFkIIByOFWwghHIwUbiGEcDBSuIUQwsFI4RYVpmBS/NatW2MwGKzP77///uoOzSYzZ84kNze3yo537733snPnTgDWrFlD+/btGTVqFNnZ2QCYTCZeeuklWrZsSZs2bWjZsiXjx48nNTUVpRQ9e/YkLi6uyuIV1U+unBQVLj4+ng4dOnDp0qXqDqVEJpMJg8FQ6npN07hy5Qqenp4Vvu9r7dmzh6lTp/LLL78A0KVLFzZu3Minn36Kp6cnjz76KA8//DCXL19m0aJF+Pj4YLFYWLFiBe3btyc4OJiVK1eyevVqFi5caHO8wjFJi1tUiZiYGPr160eHDh2IiopixYoV1nWapvH666/TqVMngoOD2bBhA88++yyRkZG0adOGI0eOFNl25syZdO/enebNm/Pll1+W+xjvvPMOffr04dlnn2X06NF06NCBsLAw7rzzTpKSkgCYMGECAN26dSMiIsK6XNM0MjIyrPurV6+edZa6a/d9vTiuNW/ePB544IEiyzRNQ6/XY7FYOHnyJF9//TULFizAx8cHAJ1Ox4gRIwgODgZg6NChrF27litXrpT/DRGOrVpnShE1UlxcnKpbt671eUpKioqMjFRnz55VSil18eJFFRAQoM6dO6eUUgpQH3zwgVJKqeXLlyt3d3e1Zs0apZRSb775pho1apR1X4CaOXOmUkqp2NhYVbduXZWQkFCuY7z66qvW/Vy8eNH68+uvv66efPLJIse4cuVKkZyuXVa3bl0VFxdXbN9lxXGt4ODgIrPbfffddyoyMlLdd999ymg0qmXLlqmwsLASX1tY37591Y8//ljmdqJmKP/fdELcoB07dnDq1CnuuOMO6zKlFL///jt+fn4A1n7wqKgodDodQ4YMAaB9+/ZFbhYL8OijjwIQHBxMjx492Lp1K7Vr1y7zGOPGjbOuW7p0KYsXLyYnJwej0Wjd5kYV7Ls8uRaWmJhYZPldd93FXXfdZfPx/fz8SExMvIHIhSOSwi0qnVKKsLAwtmzZUuo2rq6uAOj1elxcXKzL9Xo9JpPpuvvXNK1cxyjos962bRsffPABO3bsoH79+qxevZqXXnrpusfQ6/WYzWbr84ITh9fuuzxxFObu7o7RaLR2g1wrKiqKEydOkJycbL3ZQkmys7Nxc3Mr1zGF45M+blHpunXrxokTJ6wn4AAOHDhwwyM35s+fD+SfBN22bRs9evSw6RgpKSl4eXlRp04dcnNzmTdvXpH1tWrVIi0trciykJAQdu/eDcDKlSvJzMyskFzDwsI4fvx4qbmGhoYybNgwHnnkEVJTU4H8L4dFixYRGxtr3e7YsWOEh4eXuh9Rs0jhFpXOx8eH77//npdffpnw8HBat27N1KlTsVgsN7Q/FxcXunfvzsCBA5kzZw7+/v42HeOOO+4gNDSUli1bcvvttxMREVFk/dNPP02/fv2KnJycPXs2Tz75JN27d2ffvn2ltn5tzXX48OH8+OOP1813/vz5hIeH07lzZ9q0aUObNm3YsWOHNYaCk6Rt27a97n5EzSHDAYVDuZmhevboypUrdO3ald27d+Ph4XFD+5g6dSrNmjXjkUceqeDohL2SFrcQ1ahWrVrMnj37pi6gadSoEWPHjq3AqIS9kxa3EEI4GGlxCyGEg5HCLYQQDkYKtxBCOBgp3EII4WCkcAshhIORwi2EEA5GCrcQQjgYKdxCCOFgpHALIYSDkcIthBAORgq3EEI4mP8HoBz28NM9qfoAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_calibration_PT(parameter=\"Fe3Fe2\", models=[\"oneill2018\", \"putirka2016_6b\", \"armstrong2019\"])" ] }, { "cell_type": "markdown", "id": "1b0c7f45", "metadata": {}, "source": [ "The function `plot_calibration` plots melt compositions of experiments included in calibration datasets. Again, the name of the parameter needs to be passed to the `parameter` argument. Without supplying any other argument, the function will show the calibration dataset for the model currently selected in the configuration. In this case, that is the sun2024 Fe3Fe2 model (see above).\n", "\n", "x- and y-axis elements or other variables (e.g. fO2, Kd, Fe3Fe2 etc.) need to be passed as strings to the `x_elements` and `y_elements` parameters. If you provide a list of elements, they will be summed in the plot. In the example below, Na2O and K2O are plotted as a sum on the y-axis. Names have to be the same as the columns in `calibration_data` - the options for Fe3Fe2 and Kd datasets are listed below." ] }, { "cell_type": "code", "execution_count": 9, "id": "241db1bd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fe3Fe2 options: ['ref', 'run', 'SiO2', 'TiO2', 'Al2O3', 'MgO', 'CaO', 'Na2O', 'K2O', 'P2O5', 'MnO', 'CoO', 'NiO', 'Pb', 'FeO', 'T_K', 'fO2', '_Fe3Fe2', 'P_bar'] \n", "Kd options: ['ref', 'run', 'SiO2', 'TiO2', 'Al2O3', 'FeO', 'MnO', 'MgO', 'CaO', 'Na2O', 'K2O', 'P2O5', 'Cr2O3', 'CoO', 'NiO', 'H2O', 'CO2', 'total', '_Fe3Fetotal', 'T_K', 'P_bar', '_Fe3Fe2', 'olivine_forsterite', 'fO2', 'kd_FeTMg', 'kd_Fe2Mg']\n" ] } ], "source": [ "print(\"Fe3Fe2 options: \", list(calibration_data_Fe3Fe2.columns), \"\\nKd options: \", list(calibration_data_Kd.columns))" ] }, { "cell_type": "code", "execution_count": 10, "id": "8e349282", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "melt_file = \"./data/melts.csv\"\n", "\n", "melt = mp.read_melt(melt_file, index_col=[\"name\"])\n", "\n", "x = \"_Fe3Fe2\"\n", "y = [\"Na2O\", \"K2O\"]\n", "\n", "plot_calibration(\n", " parameter=\"Fe3Fe2\",\n", " x_elements=x,\n", " y_elements=y,\n", " sidekde=True\n", ")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "d1680b53", "metadata": {}, "source": [ "`plot_calibration` returns the pyplot figure and axis. If you assign them to variables, you can edit the figure or axes. Below we change the limits of the x-axis." ] }, { "cell_type": "code", "execution_count": 11, "id": "5cf5f92c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "melt_file = \"./data/melts.csv\"\n", "\n", "melt = mp.read_melt(melt_file, index_col=[\"name\"])\n", "\n", "x = \"_Fe3Fe2\"\n", "y = [\"Na2O\", \"K2O\"]\n", "\n", "fig, ax = plot_calibration(\n", " parameter=\"Fe3Fe2\",\n", " x_elements=x,\n", " y_elements=y,\n", " sidekde=True\n", ")\n", "ax.set_xlim(-5,20)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "b36c7ae4", "metadata": {}, "source": [ "To change the symbols of the plotted points, pass a dictionary to the `calibration_props` argument. This dictionary gets passed to the `plot` method of pyplot as keyword arguments. Here we plot olivine forsterite content against measured Kd Fe2-Mg values." ] }, { "cell_type": "code", "execution_count": 23, "id": "fe4fd730", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x = \"olivine_forsterite\"\n", "y = \"kd_Fe2Mg\"\n", "\n", "plot_calibration(\n", " parameter=\"Kd\",\n", " models=\"blundy2020\",\n", " x_elements=x,\n", " y_elements=y,\n", " sidekde=True,\n", " calibration_props={\"color\": \"red\", \"markersize\":5}\n", ")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "c5dd49e7", "metadata": {}, "source": [ "You can plot your own melt compositions together with the calibration data by passing them as a pandas dataframe to the `melts` argument. Column names for oxides also have to be the same as in `calibration_data`. Here the y-axis is changed to show MgO contents." ] }, { "cell_type": "code", "execution_count": 13, "id": "2a046e82", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "melt_file = \"./data/melts.csv\"\n", "\n", "melt = mp.read_melt(melt_file, index_col=[\"name\"])\n", "\n", "x = \"SiO2\"\n", "y = \"MgO\"\n", "\n", "plot_calibration(\n", " parameter=\"Fe3Fe2\",\n", " x_elements=x,\n", " y_elements=y,\n", " melts=melt,\n", " sidekde=True\n", ")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "e9e6c1ef", "metadata": {}, "source": [ "To change the symbols of the plotted melt points, pass a dictionary to the `melt_props` argument. This dictionary gets passed to the `plot` method of pyplot as keyword arguments." ] }, { "cell_type": "code", "execution_count": 14, "id": "b7909ed2", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x = \"SiO2\"\n", "y = \"MgO\"\n", "\n", "plot_calibration(\n", " parameter=\"Fe3Fe2\",\n", " x_elements=x,\n", " y_elements=y,\n", " melts=melt,\n", " sidekde=True,\n", " melt_props={\"color\": \"blue\", \"markersize\":6, \"marker\":\"s\"}\n", ")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ee57b8cf", "metadata": {}, "source": [ "Here is a similar plot, with multiple models and without kde's." ] }, { "cell_type": "code", "execution_count": 15, "id": "764a97b6", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x = \"SiO2\"\n", "y = [\"Na2O\", \"K2O\"]\n", "\n", "plot_calibration(\n", " parameter=\"Fe3Fe2\",\n", " models=[\"deng2020\", \"zhang2017\"],\n", " melts=melt,\n", " x_elements=x,\n", " y_elements=y,\n", " sidekde=False,\n", " melt_props={\"markersize\": 6}, \n", " calibration_props={\"markersize\":7}\n", ")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "6c491819", "metadata": {}, "source": [ "If you want to have more control over the plot, you can also create your own figure with matplotlib and pass the axis to the `ax` argument of `plot_calibration`." ] }, { "cell_type": "code", "execution_count": 16, "id": "5cf42e22", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mm = 1 / 25.4\n", "gp.layout(colors=gp.colors.campfire)\n", "\n", "x = \"SiO2\"\n", "y = \"MgO\"\n", "\n", "fig, ax = plt.subplots(figsize=(85 * mm, 80 * mm))\n", "\n", "calibration, *_ = plot_calibration(\n", " parameter=\"Fe3Fe2\",\n", " models=\"armstrong2019\",\n", " ax=ax,\n", " x_elements=x,\n", " y_elements=y,\n", " melts=melt, \n", " calibration_props={\"mec\": \"k\", \"ms\": 6},\n", " melt_props={\"mec\": \"k\", \"ms\": 7},\n", ")\n", "\n", "ax.set_xlabel(f\"wt.% {gp.subscript_numbers(x)}\")\n", "ax.set_ylabel(f\"wt.% MgO\")\n", "\n", "ax.legend(frameon=True)\n", "\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "py310", "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": "3.10.0" } }, "nbformat": 4, "nbformat_minor": 5 }