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128 lines
4.0 KiB
128 lines
4.0 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Pumpkin Pricing\n",
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"\n",
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"Load di libraries wey you need and di dataset. Change di data to dataframe wey get small part of di data:\n",
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"\n",
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"- Only collect pumpkins wey dem price by bushel\n",
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"- Change di date to month\n",
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"- Calculate di price make e be average of di high and low prices\n",
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"- Change di price make e show di pricing by bushel quantity\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"from datetime import datetime\n",
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"\n",
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"pumpkins = pd.read_csv('../data/US-pumpkins.csv')\n",
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"\n",
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"pumpkins.head()\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"pumpkins = pumpkins[pumpkins['Package'].str.contains('bushel', case=True, regex=True)]\n",
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"\n",
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"columns_to_select = ['Package', 'Variety', 'City Name', 'Low Price', 'High Price', 'Date']\n",
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"pumpkins = pumpkins.loc[:, columns_to_select]\n",
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"\n",
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"price = (pumpkins['Low Price'] + pumpkins['High Price']) / 2\n",
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"\n",
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"month = pd.DatetimeIndex(pumpkins['Date']).month\n",
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"day_of_year = pd.to_datetime(pumpkins['Date']).apply(lambda dt: (dt-datetime(dt.year,1,1)).days)\n",
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"\n",
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"new_pumpkins = pd.DataFrame(\n",
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" {'Month': month, \n",
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" 'DayOfYear' : day_of_year, \n",
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" 'Variety': pumpkins['Variety'], \n",
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" 'City': pumpkins['City Name'], \n",
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" 'Package': pumpkins['Package'], \n",
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" 'Low Price': pumpkins['Low Price'],\n",
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" 'High Price': pumpkins['High Price'], \n",
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" 'Price': price})\n",
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"\n",
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"new_pumpkins.loc[new_pumpkins['Package'].str.contains('1 1/9'), 'Price'] = price/1.1\n",
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"new_pumpkins.loc[new_pumpkins['Package'].str.contains('1/2'), 'Price'] = price*2\n",
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"\n",
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"new_pumpkins.head()\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Basic scatterplot dey remind us say we only get month data from August go December. We go need more data to fit draw conclusion in linear way.\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"plt.scatter('Month','Price',data=new_pumpkins)"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"plt.scatter('DayOfYear','Price',data=new_pumpkins)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**Disclaimer**: \nDis dokyument don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even as we dey try make am accurate, abeg make you sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important information, e better make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
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