2023-01-12 16:13:39 +02:00
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{
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"cells": [
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "41405f3d",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"outputs": [],
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"source": [
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"from matplotlib import pyplot as plt\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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2023-01-12 20:25:12 +02:00
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"id": "dfc88764",
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"metadata": {},
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"source": [
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"## General conversions \n",
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"\n",
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"Conversions\n",
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"\n",
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"Sunflower Seeds, sunflower seed kernels, dried\n",
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"584kcal/100g\n",
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"https://fdc.nal.usda.gov/fdc-app.html#/food-details/170562/nutrients\n",
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"FDC ID: 170562\n",
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"USDA Unit LB/acre\n",
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" \n",
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"Potatoes, flesh and skin, raw\n",
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"https://fdc.nal.usda.gov/fdc-app.html#/food-details/170026/nutrients\n",
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"77kcal/100g\n",
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"FDC ID: 170026 \n",
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"USDA Unit CWT/acre\n",
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"1 CWT = 100lbs\n",
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" \n",
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"Wheat, hard red winter\n",
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"FDC ID: 168890\n",
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"327kcal/100g\n",
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"https://fdc.nal.usda.gov/fdc-app.html#/food-details/168890/nutrients\n",
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"USDA Unit BU/acre\n",
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"60lb / BU https://www.plainsgrains.org/wp-content/uploads/2018/10/2017-HRWW-Report__HiRes-FINAL.pdf\n",
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"\n",
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"Corn grain, yellow\n",
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"365kcal/100g\n",
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"https://fdc.nal.usda.gov/fdc-app.html#/food-details/170288/nutrients\n",
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"FDC ID: 170288 \n",
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"USDA Unit BU/acre\n",
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"Shelled, 56lbs/BU\n",
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"\n",
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"Soybeans, mature seeds, raw\n",
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"446kcal/100g\n",
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"https://fdc.nal.usda.gov/fdc-app.html#/food-details/174270/nutrients\n",
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"FDC ID: 174270 \n",
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"USDA Unit BU/acre\n",
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"60LB/BU https://soybeanresearchinfo.com/research-highlight/exploring-the-impact-of-genetics-on-soybean-test-weight\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "72029669",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"source": [
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"## Corn"
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]
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "116f0267",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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2023-01-12 20:25:12 +02:00
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"outputs": [],
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2023-01-12 16:13:39 +02:00
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"source": [
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"csv=np.genfromtxt ('./data/corn.csv',\n",
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" skip_header=1,\n",
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" delimiter=\",\")\n",
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"csv[0:3]\n",
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"#csv[0:3].astype(float)"
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]
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "0db69a97",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"outputs": [],
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"source": [
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"corn_year=csv[:,1]\n",
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2023-01-12 20:25:12 +02:00
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"corn_bu_per_acre=csv[:,-2]\n",
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"\n",
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"grams_per_lbs=453.592\n",
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"corn_lbs_per_bu=(56.0/1.0)\n",
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"corn_kcal_per_gram=(365/100)\n",
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"corn_kcal_per_acre = corn_bu_per_acre*corn_lbs_per_bu*grams_per_lbs*corn_kcal_per_gram"
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2023-01-12 16:13:39 +02:00
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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": null,
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2023-01-12 20:25:12 +02:00
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"id": "eb375958",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"outputs": [],
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2023-01-12 20:25:12 +02:00
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"source": [
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"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"corn\")\n",
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"plt.xlabel(\"time (calendar year)\")\n",
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"plt.ylabel(\"Corn, bu/acre\")\n",
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"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
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"plt.legend()\n",
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"\n",
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"#plt.show()\n",
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"#plt.savefig(\"bear-quadratic.pdf\")"
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]
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2023-01-12 16:13:39 +02:00
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "9c6ffb7f",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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2023-01-12 20:25:12 +02:00
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"outputs": [],
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2023-01-12 16:13:39 +02:00
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"source": [
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2023-01-12 20:25:12 +02:00
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"plt.plot(corn_year,corn_kcal_per_acre,\"o\",label=\"corn\")\n",
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2023-01-12 16:13:39 +02:00
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"plt.xlabel(\"time (calendar year)\")\n",
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2023-01-12 20:25:12 +02:00
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"plt.ylabel(\"kcal/acre\")\n",
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2023-01-12 16:13:39 +02:00
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"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
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"plt.legend()\n",
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"\n",
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"#plt.show()\n",
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"#plt.savefig(\"bear-quadratic.pdf\")"
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]
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},
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{
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"cell_type": "markdown",
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2023-01-12 20:25:12 +02:00
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"id": "fa891f0e",
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"metadata": {},
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"source": [
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"## Wheat"
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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": null,
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"id": "263ea341",
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"metadata": {},
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"outputs": [],
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"source": [
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"csv=np.genfromtxt ('./data/wheat.csv',\n",
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" skip_header=1,\n",
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" delimiter=\",\")\n",
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"csv[0:3]\n",
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"#csv[0:3].astype(float)"
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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": null,
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"id": "5aa38243",
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"metadata": {},
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"outputs": [],
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"source": [
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"wheat_year=csv[:,1]\n",
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"wheat_bu_per_acre=csv[:,-2]\n",
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"\n",
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"wheat_lbs_per_bu=60\n",
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"#grams_per_lbs\n",
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"wheat_kcal_per_gram=327.0/100.0\n",
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"\n",
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"wheat_kcal_per_acre=wheat_bu_per_acre*wheat_lbs_per_bu*grams_per_lbs*wheat_kcal_per_gram"
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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": null,
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"id": "5dd77124",
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
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"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
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"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
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"plt.xlabel(\"time (calendar year)\")\n",
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"plt.ylabel(\"Average per acre production\")\n",
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"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
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"plt.legend()\n",
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"plt.yscale(\"log\")\n",
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"#plt.show()\n",
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"#plt.savefig(\"bear-quadratic.pdf\")"
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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": null,
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"id": "99433ae1",
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
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"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
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"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
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"plt.xlabel(\"time (calendar year)\")\n",
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"plt.ylabel(\"Average per acre production\")\n",
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"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
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"plt.legend()\n",
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"plt.yscale(\"log\")\n",
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"#plt.show()\n",
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"#plt.savefig(\"bear-quadratic.pdf\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "89c8f489",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"source": [
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"## Potatoes"
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]
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "c31828d0",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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2023-01-12 20:25:12 +02:00
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"outputs": [],
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2023-01-12 16:13:39 +02:00
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"source": [
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"csv=np.genfromtxt ('./data/potatoes.csv',\n",
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" skip_header=1,\n",
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" delimiter=\",\")\n",
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"csv[0:3]\n",
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"#csv[0:3].astype(float)"
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]
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "86091fed",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"outputs": [],
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"source": [
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"potatoes_year=csv[:,1]\n",
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2023-01-12 20:25:12 +02:00
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"potatoes_cwt_per_acre=csv[:,-2]\n",
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"\n",
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"lbs_per_cwt=100\n",
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"#grams_per_lbs\n",
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"potatoes_kcal_per_gram=77.0/100.0\n",
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"potatoes_kcal_per_acre=potatoes_cwt_per_acre*lbs_per_cwt*grams_per_lbs*potatoes_kcal_per_gram"
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2023-01-12 16:13:39 +02:00
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]
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "5ea8b2ac",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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2023-01-12 20:25:12 +02:00
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"outputs": [],
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2023-01-12 16:13:39 +02:00
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"source": [
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"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
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"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
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2023-01-12 20:25:12 +02:00
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"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
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2023-01-12 16:13:39 +02:00
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"plt.xlabel(\"time (calendar year)\")\n",
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"plt.ylabel(\"Average per acre production\")\n",
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"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
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"plt.legend()\n",
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2023-01-12 20:25:12 +02:00
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"plt.yscale(\"log\")\n",
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2023-01-12 16:13:39 +02:00
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"#plt.show()\n",
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"#plt.savefig(\"bear-quadratic.pdf\")"
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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": null,
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2023-01-12 20:25:12 +02:00
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"id": "2b78c297",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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"outputs": [],
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2023-01-12 20:25:12 +02:00
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"source": [
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"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
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"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
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"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
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"plt.xlabel(\"time (calendar year)\")\n",
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"plt.ylabel(\"Average per acre production\")\n",
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"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
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"plt.legend()\n",
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"plt.yscale(\"log\")\n",
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"#plt.show()\n",
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"#plt.savefig(\"bear-quadratic.pdf\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0201b588",
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"metadata": {},
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"source": [
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"## Soybeans"
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]
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2023-01-12 16:13:39 +02:00
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},
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{
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"cell_type": "code",
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2023-01-12 20:25:12 +02:00
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"execution_count": null,
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"id": "ce223c5b",
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2023-01-12 16:13:39 +02:00
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"metadata": {},
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2023-01-12 20:25:12 +02:00
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"outputs": [],
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2023-01-12 16:13:39 +02:00
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"source": [
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2023-01-12 20:25:12 +02:00
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"csv=np.genfromtxt ('./data/soybeans.csv',\n",
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" skip_header=1,\n",
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" delimiter=\",\")\n",
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"csv[0:3]\n",
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"#csv[0:3].astype(float)"
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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": null,
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"id": "12fe395c",
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"metadata": {},
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"outputs": [],
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|
"source": [
|
|
|
|
"soybeans_year=csv[:,1]\n",
|
|
|
|
"soybeans_bu_per_acre=csv[:,-2]"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "ae3f6ad4",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
|
|
|
|
"plt.plot(soybeans_year,soybeans_bu_per_acre,\"*\",label=\"Soybeans (BU/ACRE)\")\n",
|
2023-01-12 16:13:39 +02:00
|
|
|
"plt.xlabel(\"time (calendar year)\")\n",
|
2023-01-12 20:25:12 +02:00
|
|
|
"plt.ylabel(\"Average per acre production\")\n",
|
2023-01-12 16:13:39 +02:00
|
|
|
"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
|
|
|
|
"plt.legend()\n",
|
2023-01-12 20:25:12 +02:00
|
|
|
"plt.yscale(\"log\")\n",
|
|
|
|
"#plt.show()\n",
|
|
|
|
"#plt.savefig(\"bear-quadratic.pdf\")"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "markdown",
|
|
|
|
"id": "c68984fa",
|
|
|
|
"metadata": {},
|
|
|
|
"source": [
|
|
|
|
"## Sugarbeets"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "6e74b0b8",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"csv=np.genfromtxt ('./data/sugarbeets.csv',\n",
|
|
|
|
" skip_header=1,\n",
|
|
|
|
" delimiter=\",\")\n",
|
|
|
|
"csv[0:3]\n",
|
|
|
|
"#csv[0:3].astype(float)"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "ab73b355",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"sugarbeets_year=csv[:,1]\n",
|
|
|
|
"sugarbeets_tons_per_acre=csv[:,-2]"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "cbaa454a",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
|
|
|
|
"plt.plot(soybeans_year,soybeans_bu_per_acre,\"*\",label=\"Soybeans (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(sugarbeets_year,sugarbeets_tons_per_acre,\".\",label=\"Sugarbeets (TONS/ACRE)\")\n",
|
|
|
|
"plt.xlabel(\"time (calendar year)\")\n",
|
|
|
|
"plt.ylabel(\"Average per acre production\")\n",
|
|
|
|
"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
|
|
|
|
"plt.legend()\n",
|
|
|
|
"plt.yscale(\"log\")\n",
|
|
|
|
"#plt.show()\n",
|
|
|
|
"#plt.savefig(\"bear-quadratic.pdf\")"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "markdown",
|
|
|
|
"id": "884a7b05",
|
|
|
|
"metadata": {},
|
|
|
|
"source": [
|
|
|
|
"## Sunflowers"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "846722a4",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"csv=np.genfromtxt ('./data/sunflowers.csv',\n",
|
|
|
|
" skip_header=1,\n",
|
|
|
|
" delimiter=\",\")\n",
|
|
|
|
"csv[0:3]\n",
|
|
|
|
"#csv[0:3].astype(float)"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "c79d0d11",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"sunflowers_year=csv[:,1]\n",
|
|
|
|
"sunflowers_lbs_per_acre=csv[:,-2]"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "569111b9",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": [
|
|
|
|
"plt.plot(corn_year,corn_bu_per_acre,\"o\",label=\"Corn (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(wheat_year,wheat_bu_per_acre,\"x\",label=\"Wheat (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(potatoes_year,potatoes_cwt_per_acre,\"+\",label=\"Potatoes (CWT / ACRE)\")\n",
|
|
|
|
"plt.plot(soybeans_year,soybeans_bu_per_acre,\"*\",label=\"Soybeans (BU/ACRE)\")\n",
|
|
|
|
"plt.plot(sugarbeets_year,sugarbeets_tons_per_acre,\".\",label=\"Sugarbeets (TONS/ACRE)\")\n",
|
|
|
|
"plt.plot(sunflowers_year,sunflowers_lbs_per_acre,\"d\",label=\"Sunflowers (LB/ACRE)\")\n",
|
|
|
|
"plt.xlabel(\"time (calendar year)\")\n",
|
|
|
|
"plt.ylabel(\"Average per acre production\")\n",
|
|
|
|
"plt.title(\"US Agriculture yields, NASS (USDA)\")\n",
|
|
|
|
"plt.legend()\n",
|
|
|
|
"plt.yscale(\"log\")\n",
|
2023-01-12 16:13:39 +02:00
|
|
|
"#plt.show()\n",
|
|
|
|
"#plt.savefig(\"bear-quadratic.pdf\")"
|
|
|
|
]
|
2023-01-12 20:25:12 +02:00
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
|
|
|
"id": "1a71b7e2",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": []
|
2023-01-12 16:13:39 +02:00
|
|
|
}
|
|
|
|
],
|
|
|
|
"metadata": {
|
|
|
|
"kernelspec": {
|
|
|
|
"display_name": "Python 3 (ipykernel)",
|
|
|
|
"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": "3.9.13"
|
|
|
|
}
|
|
|
|
},
|
|
|
|
"nbformat": 4,
|
|
|
|
"nbformat_minor": 5
|
|
|
|
}
|