{ "metadata": { "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.3-final" }, "orig_nbformat": 2, "kernelspec": { "name": "python3", "display_name": "Python 3", "language": "python" } }, "nbformat": 4, "nbformat_minor": 2, "cells": [ { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " City Name Type Package Variety Sub Variety Grade \\\n", "70 BALTIMORE NaN 1 1/9 bushel cartons PIE TYPE NaN NaN \n", "71 BALTIMORE NaN 1 1/9 bushel cartons PIE TYPE NaN NaN \n", "72 BALTIMORE NaN 1 1/9 bushel cartons PIE TYPE NaN NaN \n", "73 BALTIMORE NaN 1 1/9 bushel cartons PIE TYPE NaN NaN \n", "74 BALTIMORE NaN 1 1/9 bushel cartons PIE TYPE NaN NaN \n", "\n", " Date Low Price High Price Mostly Low ... Unit of Sale Quality \\\n", "70 9/24/16 15.0 15.0 15.0 ... NaN NaN \n", "71 9/24/16 18.0 18.0 18.0 ... NaN NaN \n", "72 10/1/16 18.0 18.0 18.0 ... NaN NaN \n", "73 10/1/16 17.0 17.0 17.0 ... NaN NaN \n", "74 10/8/16 15.0 15.0 15.0 ... NaN NaN \n", "\n", " Condition Appearance Storage Crop Repack Trans Mode Unnamed: 24 \\\n", "70 NaN NaN NaN NaN N NaN NaN \n", "71 NaN NaN NaN NaN N NaN NaN \n", "72 NaN NaN NaN NaN N NaN NaN \n", "73 NaN NaN NaN NaN N NaN NaN \n", "74 NaN NaN NaN NaN N NaN NaN \n", "\n", " Unnamed: 25 \n", "70 NaN \n", "71 NaN \n", "72 NaN \n", "73 NaN \n", "74 NaN \n", "\n", "[5 rows x 26 columns]" ], "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
City NameTypePackageVarietySub VarietyGradeDateLow PriceHigh PriceMostly Low...Unit of SaleQualityConditionAppearanceStorageCropRepackTrans ModeUnnamed: 24Unnamed: 25
70BALTIMORENaN1 1/9 bushel cartonsPIE TYPENaNNaN9/24/1615.015.015.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
71BALTIMORENaN1 1/9 bushel cartonsPIE TYPENaNNaN9/24/1618.018.018.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
72BALTIMORENaN1 1/9 bushel cartonsPIE TYPENaNNaN10/1/1618.018.018.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
73BALTIMORENaN1 1/9 bushel cartonsPIE TYPENaNNaN10/1/1617.017.017.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
74BALTIMORENaN1 1/9 bushel cartonsPIE TYPENaNNaN10/8/1615.015.015.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
\n

5 rows × 26 columns

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" }, "metadata": {}, "execution_count": 8 } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "pumpkins = pd.read_csv('../US-pumpkins.csv')\n", "\n", "pumpkins = pumpkins[pumpkins['Package'].str.contains('bushel', case=True, regex=True)]\n", "\n", "pumpkins.head()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "City Name 0\n", "Type 406\n", "Package 0\n", "Variety 0\n", "Sub Variety 167\n", "Grade 415\n", "Date 0\n", "Low Price 0\n", "High Price 0\n", "Mostly Low 24\n", "Mostly High 24\n", "Origin 0\n", "Origin District 396\n", "Item Size 114\n", "Color 180\n", "Environment 415\n", "Unit of Sale 404\n", "Quality 415\n", "Condition 415\n", "Appearance 415\n", "Storage 415\n", "Crop 415\n", "Repack 0\n", "Trans Mode 415\n", "Unnamed: 24 415\n", "Unnamed: 25 391\n", "dtype: int64" ] }, "metadata": {}, "execution_count": 9 } ], "source": [ "pumpkins.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Month Package Low Price High Price Price\n70 9 1 1/9 bushel cartons 15.00 15.0 13.636364\n71 9 1 1/9 bushel cartons 18.00 18.0 16.363636\n72 10 1 1/9 bushel cartons 18.00 18.0 16.363636\n73 10 1 1/9 bushel cartons 17.00 17.0 15.454545\n74 10 1 1/9 bushel cartons 15.00 15.0 13.636364\n... ... ... ... ... ...\n1738 9 1/2 bushel cartons 15.00 15.0 30.000000\n1739 9 1/2 bushel cartons 13.75 15.0 28.750000\n1740 9 1/2 bushel cartons 10.75 15.0 25.750000\n1741 9 1/2 bushel cartons 12.00 12.0 24.000000\n1742 9 1/2 bushel cartons 12.00 12.0 24.000000\n\n[415 rows x 5 columns]\n" ] } ], "source": [ "\n", "# A set of new columns for a new dataframe. Filter out nonmatching columns\n", "new_columns = ['Package', 'Month', 'Low Price', 'High Price', 'Date']\n", "pumpkins = pumpkins.drop([c for c in pumpkins.columns if c not in new_columns], axis=1)\n", "\n", "# Get an average between low and high price for the base pumpkin price\n", "price = (pumpkins['Low Price'] + pumpkins['High Price']) / 2\n", "\n", "# Convert the date to its month only\n", "month = pd.DatetimeIndex(pumpkins['Date']).month\n", "\n", "# Create a new dataframe with this basic data\n", "new_pumpkins = pd.DataFrame({'Month': month, 'Package': pumpkins['Package'], 'Low Price': pumpkins['Low Price'],'High Price': pumpkins['High Price'], 'Price': price})\n", "\n", "# Convert the price if the Package contains fractional bushel values\n", "new_pumpkins.loc[new_pumpkins['Package'].str.contains('1 1/9'), 'Price'] = price/1.1\n", "\n", "new_pumpkins.loc[new_pumpkins['Package'].str.contains('1/2'), 'Price'] = price*2\n", "\n", "print(new_pumpkins)\n", "\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
", "image/svg+xml": "\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "new_pumpkins.plot(kind='bar', y='Price')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Text(0, 0.5, 'Pumpkin Price')" ] }, "metadata": {}, "execution_count": 13 }, { "output_type": "display_data", "data": { "text/plain": "
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MV52k+TD4Z5Dk6qo6OsmewA+Bh1TV3UkCfKuqjh64xIlJcg2wtPv3PwD4ZFUdn2QxcEFVHTNwiROT5IHAG4BTgS2Xwd8CXACsqqrbh6ptIUnyqap62tB1TEqS/Rn9d/Ew4FNVdd60Ze+uqpcPVtws7OqZ2f267p59GJ31PxD4CfCrwF5DFjaQPYG7Gf379wOoqh8kae1YnA9cBhxfVT8CSPJrwHLgI8CJA9Y2UUkeN9siYOkka1kA3seo+/OjwIuTPBd4QVXdBTxh0MpmYfDP7GzgWkYXmJ0BfCTJ9Yz+R/zwkIUN4J+Bryf5GvAk4C0ASaYYfRm2ZElVvWV6Q/cF8JYkLx6opqF8nVH330z33jpgwrUM7fCqem43/YkkZwCXJXnmkEXNxa6eWSR5CEBV3ZTkAOCpwA+q6sphK5u8JI8GHgWsr6prh65nKEk+C3wOWFNVN3dthwB/DJxYVU8dsLyJSrIeeHZVXTfDsv+sqkNn+NhuKckG4NFVdc+0tuXAXwD7VtVhgxU3C4NfGlOSA4GVjJ4fcXDXfDOje02tqqrbhqpt0rrbq19TVdvdLj3JqVX1iQHKGkSSvwM+W1Wf26b9JOCdVXXEMJXNzuCXdoIkf1JV7xu6joXAY7HVQj0WBr+0EyT5QVUtHrqOhcBjsdVCPRb+uCuNKcnVsy0CDplkLUPzWGy1Kx4Lg18a3yHA7zG6gG26AF+ZfDmD8lhstcsdC4NfGt9FjEZprNt2QZIvTL6cQXksttrljoV9/JLUGO/OKUmNMfglqTEGvwQkqSQfnDa/Z5JNSS6a5/YOSPLyafPHz3db0s5m8Esj/wU8Jsn9u/kTGd2Zdb4OABbcXRklMPil6T4FnNJNnwZ8aMuCJAcl+USSq5N8LcnRXfuZSc5J8oUk13fPLwBYBRyeZF2St3Zt+yb51yTXJjm3u823NHEGv7TVh4HnJ9kbOBq4YtqyNwPf7J7F8EbgA9OWHcloHPexwJu621WvBL5XVUur6nXdescApwNHAY8AjuvzHyPNxuCXOlV1NbCE0dn+J7dZ/ETgg916lwEP6h7MAnBxVd1VVbcyejDLbFdrXllVN3Z3cVzX7UuaOC/gku7tQuAs4HjgQdPaZ+qW2XIRzF3T2u5m9v9fjbue1CvP+KV7Owf4m6q6Zpv2y4E/gtEIHeDWqrpjju3cSfe0Mmmh8YxDmqaqbgT+foZFZwLv627I9XNGj1ucazs/TvLl7oElnwIu3tm1SvPlLRskqTF29UhSYwx+SWqMwS9JjTH4JakxBr8kNcbgl6TGGPyS1BiDX5Ia83/e+aglZ1t96wAAAABJRU5ErkJggg==\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "\n", "new_pumpkins.groupby(['Month'])['Price'].mean().plot(kind='bar')\n", "plt.ylabel(\"Pumpkin Price\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ] }