{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Bought a Bike\n",
"\n",
"My bike is 10 years old. \n",
"It cost `$100`, but I still use it today. \n",
"I wondered, **how profitably I invested** that `$100` in my bike?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Profitablity Calc\n",
"\n",
"I have prepared a simple calculator that can help to prevent spontaneous purchases.\n",
"\n",
"The calculator needs the following input parameters:\n",
"\n",
"- `purchase_name` - purchase name;\n",
"- `price` - purchase price;\n",
"- `usage_years` - how many years the purchase will be used;\n",
"- `usage_seasons` - what seasons the purchase will be used, `winter`, `spring`, `summer`, `autumn` are allowed;\n",
"- `usage_per_week` - how many times a week the purchase will be used;\n",
"- `price_sale_pct` - how much the purchase was later sold for."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Import libs\n",
"import pandas as pd\n",
"import calendar\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def profitability(purchase_name, price, usage_years, usage_seasons, usage_per_week, price_sale_pct=0):\n",
" # Calculate number of weeks in season\n",
" days = 0\n",
" seasons = list(set(usage_seasons))\n",
" for season in seasons:\n",
" if season == 'winter':\n",
" days += calendar.monthrange(1970, 12)[1]\n",
" days += calendar.monthrange(1970, 1)[1]\n",
" days += calendar.monthrange(1970, 2)[1]\n",
" elif season == 'spring':\n",
" days += calendar.monthrange(1970, 3)[1]\n",
" days += calendar.monthrange(1970, 4)[1]\n",
" days += calendar.monthrange(1970, 5)[1]\n",
" elif season == 'summer':\n",
" days += calendar.monthrange(1970, 6)[1]\n",
" days += calendar.monthrange(1970, 7)[1]\n",
" days += calendar.monthrange(1970, 8)[1]\n",
" elif season == 'autumn':\n",
" days += calendar.monthrange(1970, 9)[1]\n",
" days += calendar.monthrange(1970, 10)[1]\n",
" days += calendar.monthrange(1970, 11)[1]\n",
" else:\n",
" return 'ERROR: not a season! Add winter, spring, summer or autumn.'\n",
" usage_weeks = days/7\n",
"\n",
" # How many times have used the purchase\n",
" usage_num = round(usage_years * usage_weeks * usage_per_week)\n",
" # Сost per use\n",
" price_per_usage = round((price - price_sale_pct) / usage_num, 2)\n",
" \n",
" result = pd.DataFrame({'purchase_name':[purchase_name],\n",
" 'price':[price],\n",
" 'usage_years':[usage_years],\n",
" 'usage_seasons':[usage_seasons],\n",
" 'usage_per_week':[usage_per_week],\n",
" 'price_sale_pct':[price_sale_pct],\n",
" 'usage_num':[usage_num],\n",
" 'price_per_usage':[price_per_usage]\n",
" })\n",
"\n",
" return result"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example\n",
"\n",
"Let's test the calculator to answer if my old bike is useful acquisition."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>purchase_name</th>\n",
" <th>price</th>\n",
" <th>usage_years</th>\n",
" <th>usage_seasons</th>\n",
" <th>usage_per_week</th>\n",
" <th>price_sale_pct</th>\n",
" <th>usage_num</th>\n",
" <th>price_per_usage</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>my old bike</td>\n",
" <td>100</td>\n",
" <td>10</td>\n",
" <td>[spring, summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>526</td>\n",
" <td>0.19</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" purchase_name price usage_years usage_seasons usage_per_week \\\n",
"0 my old bike 100 10 [spring, summer] 2 \n",
"\n",
" price_sale_pct usage_num price_per_usage \n",
"0 0 526 0.19 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"profitability('my old bike', 100, 10, ['spring', 'summer'], 2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For 10 years now, I've been cycling twice a week in the spring and summer, and I \"pay\" 19 cents each time.\n",
"It seems to be a bargain.\n",
"\n",
"One use can be understood as one hour of cycling or two hours, for example.\n",
"\n",
"Let's try to reduce the usage years to 1. Leave only summer for cycling."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>purchase_name</th>\n",
" <th>price</th>\n",
" <th>usage_years</th>\n",
" <th>usage_seasons</th>\n",
" <th>usage_per_week</th>\n",
" <th>price_sale_pct</th>\n",
" <th>usage_num</th>\n",
" <th>price_per_usage</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>my old bike</td>\n",
" <td>100</td>\n",
" <td>1</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>26</td>\n",
" <td>3.85</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" purchase_name price usage_years usage_seasons usage_per_week \\\n",
"0 my old bike 100 1 [summer] 2 \n",
"\n",
" price_sale_pct usage_num price_per_usage \n",
"0 0 26 3.85 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"profitability('my old bike', 100, 1, ['summer'], 2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The cost of `$3.85` at a time (or an hour) is no longer so attractive."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Profitability to Buy a Bike\n",
"\n",
"Recently, I liked a new bike in the store. \n",
"I could have made a spontaneous, thoughtless purchase, given into the mood. \n",
"However, now I want to estimate how much the new bike will actually cost me. Let's do the calcs.\n",
"\n",
"### Getting data\n",
"I will consider some of the uses for my new bike:\n",
"\n",
"- I'll buy it in the store for `$400`.\n",
"- I'll use it 1, 2, 4, 5, 6, 7, 8, 9 or 10 years.\n",
"- I plan to cycle only in summer.\n",
"- I want to cycle, maybe once a week, or on weekends, or time to time, or on weekdays.\n",
"- I'm not going to sell it."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>purchase_name</th>\n",
" <th>price</th>\n",
" <th>usage_years</th>\n",
" <th>usage_seasons</th>\n",
" <th>usage_per_week</th>\n",
" <th>price_sale_pct</th>\n",
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" </tr>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>30.77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>26</td>\n",
" <td>15.38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>10.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>6.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>20.00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" purchase_name price usage_years usage_seasons usage_per_week \\\n",
"0 bike 400 1.0 [summer] 1 \n",
"0 bike 400 1.0 [summer] 2 \n",
"0 bike 400 1.0 [summer] 3 \n",
"0 bike 400 1.0 [summer] 5 \n",
"0 bike 400 1.5 [summer] 1 \n",
"\n",
" price_sale_pct usage_num price_per_usage \n",
"0 0 13 30.77 \n",
"0 0 26 15.38 \n",
"0 0 39 10.26 \n",
"0 0 66 6.06 \n",
"0 0 20 20.00 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe the purchase\n",
"purchase_name_b = 'bike'\n",
"price_b = 400\n",
"usage_years_b = [y/2 for y in range(2, 21, 1)] # from 1 to 10 years\n",
"usage_seasons_b = [['summer']] # cycling only in summer\n",
"usage_per_week_b = [1,2,3,5] # once a week, on weekends, time to time, on weekdays\n",
"price_sale_pct_b = 0 # do not sell\n",
"\n",
"columns = ['purchase_name', 'price', 'usage_years',\n",
" 'usage_seasons', 'usage_per_week', 'profitability'\n",
" ]\n",
"\n",
"profitability_bike = pd.DataFrame()\n",
"for years in usage_years_b:\n",
" for seasons in usage_seasons_b:\n",
" for times in usage_per_week_b:\n",
" pra_bike = profitability(purchase_name_b, price_b, years, seasons, times, price_sale_pct_b)\n",
" profitability_bike = profitability_bike.append(pra_bike)\n",
" \n",
"profitability_bike.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
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" <td>76.0</td>\n",
" <td>76.00000</td>\n",
" <td>76.000000</td>\n",
" <td>76.0</td>\n",
" <td>76.000000</td>\n",
" <td>76.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>400.0</td>\n",
" <td>5.50000</td>\n",
" <td>2.750000</td>\n",
" <td>0.0</td>\n",
" <td>198.776316</td>\n",
" <td>4.237237</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>0.0</td>\n",
" <td>2.75681</td>\n",
" <td>1.488847</td>\n",
" <td>0.0</td>\n",
" <td>156.146051</td>\n",
" <td>4.834062</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>400.0</td>\n",
" <td>1.00000</td>\n",
" <td>1.000000</td>\n",
" <td>0.0</td>\n",
" <td>13.000000</td>\n",
" <td>0.610000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>400.0</td>\n",
" <td>3.00000</td>\n",
" <td>1.750000</td>\n",
" <td>0.0</td>\n",
" <td>79.000000</td>\n",
" <td>1.502500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>400.0</td>\n",
" <td>5.50000</td>\n",
" <td>2.500000</td>\n",
" <td>0.0</td>\n",
" <td>151.500000</td>\n",
" <td>2.645000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>400.0</td>\n",
" <td>8.00000</td>\n",
" <td>3.500000</td>\n",
" <td>0.0</td>\n",
" <td>266.250000</td>\n",
" <td>5.060000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>400.0</td>\n",
" <td>10.00000</td>\n",
" <td>5.000000</td>\n",
" <td>0.0</td>\n",
" <td>657.000000</td>\n",
" <td>30.770000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" price usage_years usage_per_week price_sale_pct usage_num \\\n",
"count 76.0 76.00000 76.000000 76.0 76.000000 \n",
"mean 400.0 5.50000 2.750000 0.0 198.776316 \n",
"std 0.0 2.75681 1.488847 0.0 156.146051 \n",
"min 400.0 1.00000 1.000000 0.0 13.000000 \n",
"25% 400.0 3.00000 1.750000 0.0 79.000000 \n",
"50% 400.0 5.50000 2.500000 0.0 151.500000 \n",
"75% 400.0 8.00000 3.500000 0.0 266.250000 \n",
"max 400.0 10.00000 5.000000 0.0 657.000000 \n",
"\n",
" price_per_usage \n",
"count 76.000000 \n",
"mean 4.237237 \n",
"std 4.834062 \n",
"min 0.610000 \n",
"25% 1.502500 \n",
"50% 2.645000 \n",
"75% 5.060000 \n",
"max 30.770000 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"profitability_bike.describe()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 76 entries, 0 to 0\n",
"Data columns (total 8 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 purchase_name 76 non-null object \n",
" 1 price 76 non-null int64 \n",
" 2 usage_years 76 non-null float64\n",
" 3 usage_seasons 76 non-null object \n",
" 4 usage_per_week 76 non-null int64 \n",
" 5 price_sale_pct 76 non-null int64 \n",
" 6 usage_num 76 non-null int64 \n",
" 7 price_per_usage 76 non-null float64\n",
"dtypes: float64(2), int64(4), object(2)\n",
"memory usage: 5.3+ KB\n"
]
}
],
"source": [
"profitability_bike.info()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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" <th>0</th>\n",
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" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
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" <td>[summer]</td>\n",
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" <td>0.72</td>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>526</td>\n",
" <td>0.76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>493</td>\n",
" <td>0.81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>460</td>\n",
" <td>0.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>427</td>\n",
" <td>0.94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>394</td>\n",
" <td>1.02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>10.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>394</td>\n",
" <td>1.02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>9.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>375</td>\n",
" <td>1.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>361</td>\n",
" <td>1.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>9.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>355</td>\n",
" <td>1.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>335</td>\n",
" <td>1.19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>329</td>\n",
" <td>1.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>315</td>\n",
" <td>1.27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>296</td>\n",
" <td>1.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>296</td>\n",
" <td>1.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>276</td>\n",
" <td>1.45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>10.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>263</td>\n",
" <td>1.52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>263</td>\n",
" <td>1.52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>256</td>\n",
" <td>1.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>9.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>250</td>\n",
" <td>1.60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>9.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>237</td>\n",
" <td>1.69</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>237</td>\n",
" <td>1.69</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>230</td>\n",
" <td>1.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>223</td>\n",
" <td>1.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>217</td>\n",
" <td>1.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>210</td>\n",
" <td>1.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>197</td>\n",
" <td>2.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>197</td>\n",
" <td>2.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>197</td>\n",
" <td>2.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>184</td>\n",
" <td>2.17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>177</td>\n",
" <td>2.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>171</td>\n",
" <td>2.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>164</td>\n",
" <td>2.44</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>158</td>\n",
" <td>2.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>158</td>\n",
" <td>2.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>145</td>\n",
" <td>2.76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>138</td>\n",
" <td>2.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>131</td>\n",
" <td>3.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>10.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>131</td>\n",
" <td>3.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>131</td>\n",
" <td>3.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>9.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>125</td>\n",
" <td>3.20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>9.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>118</td>\n",
" <td>3.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>118</td>\n",
" <td>3.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>118</td>\n",
" <td>3.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>112</td>\n",
" <td>3.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>8.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>105</td>\n",
" <td>3.81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>105</td>\n",
" <td>3.81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.5</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>99</td>\n",
" <td>4.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>99</td>\n",
" <td>4.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>99</td>\n",
" <td>4.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>7.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>92</td>\n",
" <td>4.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>92</td>\n",
" <td>4.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>85</td>\n",
" <td>4.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>5.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>6.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>5.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>5.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>72</td>\n",
" <td>5.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>6.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>6.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>5.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>6.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.5</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>59</td>\n",
" <td>6.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>59</td>\n",
" <td>6.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>53</td>\n",
" <td>7.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>4.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>53</td>\n",
" <td>7.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>46</td>\n",
" <td>8.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>3.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>10.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.5</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>10.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>10.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>12.12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>2.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>26</td>\n",
" <td>15.38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>26</td>\n",
" <td>15.38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.5</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>20.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bike</td>\n",
" <td>400</td>\n",
" <td>1.0</td>\n",
" <td>[summer]</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>30.77</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" purchase_name price usage_years usage_seasons usage_per_week \\\n",
"0 bike 400 10.0 [summer] 5 \n",
"0 bike 400 9.5 [summer] 5 \n",
"0 bike 400 9.0 [summer] 5 \n",
"0 bike 400 8.5 [summer] 5 \n",
"0 bike 400 8.0 [summer] 5 \n",
"0 bike 400 7.5 [summer] 5 \n",
"0 bike 400 7.0 [summer] 5 \n",
"0 bike 400 6.5 [summer] 5 \n",
"0 bike 400 6.0 [summer] 5 \n",
"0 bike 400 10.0 [summer] 3 \n",
"0 bike 400 9.5 [summer] 3 \n",
"0 bike 400 5.5 [summer] 5 \n",
"0 bike 400 9.0 [summer] 3 \n",
"0 bike 400 8.5 [summer] 3 \n",
"0 bike 400 5.0 [summer] 5 \n",
"0 bike 400 8.0 [summer] 3 \n",
"0 bike 400 7.5 [summer] 3 \n",
"0 bike 400 4.5 [summer] 5 \n",
"0 bike 400 7.0 [summer] 3 \n",
"0 bike 400 10.0 [summer] 2 \n",
"0 bike 400 4.0 [summer] 5 \n",
"0 bike 400 6.5 [summer] 3 \n",
"0 bike 400 9.5 [summer] 2 \n",
"0 bike 400 9.0 [summer] 2 \n",
"0 bike 400 6.0 [summer] 3 \n",
"0 bike 400 3.5 [summer] 5 \n",
"0 bike 400 8.5 [summer] 2 \n",
"0 bike 400 5.5 [summer] 3 \n",
"0 bike 400 8.0 [summer] 2 \n",
"0 bike 400 3.0 [summer] 5 \n",
"0 bike 400 7.5 [summer] 2 \n",
"0 bike 400 5.0 [summer] 3 \n",
"0 bike 400 7.0 [summer] 2 \n",
"0 bike 400 4.5 [summer] 3 \n",
"0 bike 400 6.5 [summer] 2 \n",
"0 bike 400 2.5 [summer] 5 \n",
"0 bike 400 4.0 [summer] 3 \n",
"0 bike 400 6.0 [summer] 2 \n",
"0 bike 400 5.5 [summer] 2 \n",
"0 bike 400 3.5 [summer] 3 \n",
"0 bike 400 5.0 [summer] 2 \n",
"0 bike 400 10.0 [summer] 1 \n",
"0 bike 400 2.0 [summer] 5 \n",
"0 bike 400 9.5 [summer] 1 \n",
"0 bike 400 9.0 [summer] 1 \n",
"0 bike 400 4.5 [summer] 2 \n",
"0 bike 400 3.0 [summer] 3 \n",
"0 bike 400 8.5 [summer] 1 \n",
"0 bike 400 8.0 [summer] 1 \n",
"0 bike 400 4.0 [summer] 2 \n",
"0 bike 400 1.5 [summer] 5 \n",
"0 bike 400 7.5 [summer] 1 \n",
"0 bike 400 2.5 [summer] 3 \n",
"0 bike 400 7.0 [summer] 1 \n",
"0 bike 400 3.5 [summer] 2 \n",
"0 bike 400 6.5 [summer] 1 \n",
"0 bike 400 3.0 [summer] 2 \n",
"0 bike 400 6.0 [summer] 1 \n",
"0 bike 400 2.0 [summer] 3 \n",
"0 bike 400 5.5 [summer] 1 \n",
"0 bike 400 1.0 [summer] 5 \n",
"0 bike 400 2.5 [summer] 2 \n",
"0 bike 400 5.0 [summer] 1 \n",
"0 bike 400 1.5 [summer] 3 \n",
"0 bike 400 4.5 [summer] 1 \n",
"0 bike 400 2.0 [summer] 2 \n",
"0 bike 400 4.0 [summer] 1 \n",
"0 bike 400 3.5 [summer] 1 \n",
"0 bike 400 3.0 [summer] 1 \n",
"0 bike 400 1.5 [summer] 2 \n",
"0 bike 400 1.0 [summer] 3 \n",
"0 bike 400 2.5 [summer] 1 \n",
"0 bike 400 2.0 [summer] 1 \n",
"0 bike 400 1.0 [summer] 2 \n",
"0 bike 400 1.5 [summer] 1 \n",
"0 bike 400 1.0 [summer] 1 \n",
"\n",
" price_sale_pct usage_num price_per_usage \n",
"0 0 657 0.61 \n",
"0 0 624 0.64 \n",
"0 0 591 0.68 \n",
"0 0 559 0.72 \n",
"0 0 526 0.76 \n",
"0 0 493 0.81 \n",
"0 0 460 0.87 \n",
"0 0 427 0.94 \n",
"0 0 394 1.02 \n",
"0 0 394 1.02 \n",
"0 0 375 1.07 \n",
"0 0 361 1.11 \n",
"0 0 355 1.13 \n",
"0 0 335 1.19 \n",
"0 0 329 1.22 \n",
"0 0 315 1.27 \n",
"0 0 296 1.35 \n",
"0 0 296 1.35 \n",
"0 0 276 1.45 \n",
"0 0 263 1.52 \n",
"0 0 263 1.52 \n",
"0 0 256 1.56 \n",
"0 0 250 1.60 \n",
"0 0 237 1.69 \n",
"0 0 237 1.69 \n",
"0 0 230 1.74 \n",
"0 0 223 1.79 \n",
"0 0 217 1.84 \n",
"0 0 210 1.90 \n",
"0 0 197 2.03 \n",
"0 0 197 2.03 \n",
"0 0 197 2.03 \n",
"0 0 184 2.17 \n",
"0 0 177 2.26 \n",
"0 0 171 2.34 \n",
"0 0 164 2.44 \n",
"0 0 158 2.53 \n",
"0 0 158 2.53 \n",
"0 0 145 2.76 \n",
"0 0 138 2.90 \n",
"0 0 131 3.05 \n",
"0 0 131 3.05 \n",
"0 0 131 3.05 \n",
"0 0 125 3.20 \n",
"0 0 118 3.39 \n",
"0 0 118 3.39 \n",
"0 0 118 3.39 \n",
"0 0 112 3.57 \n",
"0 0 105 3.81 \n",
"0 0 105 3.81 \n",
"0 0 99 4.04 \n",
"0 0 99 4.04 \n",
"0 0 99 4.04 \n",
"0 0 92 4.35 \n",
"0 0 92 4.35 \n",
"0 0 85 4.71 \n",
"0 0 79 5.06 \n",
"0 0 79 5.06 \n",
"0 0 79 5.06 \n",
"0 0 72 5.56 \n",
"0 0 66 6.06 \n",
"0 0 66 6.06 \n",
"0 0 66 6.06 \n",
"0 0 59 6.78 \n",
"0 0 59 6.78 \n",
"0 0 53 7.55 \n",
"0 0 53 7.55 \n",
"0 0 46 8.70 \n",
"0 0 39 10.26 \n",
"0 0 39 10.26 \n",
"0 0 39 10.26 \n",
"0 0 33 12.12 \n",
"0 0 26 15.38 \n",
"0 0 26 15.38 \n",
"0 0 20 20.00 \n",
"0 0 13 30.77 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Increase the number of rows to display\n",
"pd.set_option('display.max_rows', 100)\n",
"\n",
"profitability_bike.sort_values(by='price_per_usage')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting price per usage"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
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"snark_palette = ['#e0675a', # red\n",
" '#5ca0af', # green\n",
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},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
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"text/plain": [
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"source": [
"# Color palette for the data\n",
"palette = 'tab10'\n",
"\n",
"# Inscriptions\n",
"title = \"\"\"Bike Profitability\"\"\"\n",
"description = \"\"\"\n",
"The real cost of the bike depending on the frequency of use.\n",
"Data: @data.sugar | Author: @data.sugar\n",
"\"\"\"\n",
"\n",
"# Plot size\n",
"figsize = (6,4)\n",
"\n",
"# Set the figure\n",
"sns.set(context='paper', style='ticks', palette=snark_palette,\n",
" rc={'axes.spines.left': True, 'axes.spines.bottom': True,\n",
" 'axes.spines.right': False, 'axes.spines.top': False\n",
" }\n",
" )\n",
"\n",
"# Create the plot\n",
"fig, ax = plt.subplots(1, 1, figsize=figsize, facecolor='w')\n",
"sns.lineplot(data=profitability_bike,\n",
" x='usage_years', y='price_per_usage',\n",
" hue='usage_per_week',\n",
" lw=2, palette=palette,\n",
" legend='full', ax=ax\n",
" )\n",
"\n",
"# Set some aesthetic params for the plot\n",
"ax.set_title(title, fontdict={'fontsize': 16}, loc='center', pad=10, c=snark_palette[-1]) # set a title of the plot\n",
"ax.annotate(description, xy=(10, -4), size=6, xycoords='figure points', c=snark_palette[-1])\n",
"ax.set_xlabel('years of use', loc='center', size='x-large', c=snark_palette[-1]) # set label of x axis\n",
"ax.set_ylabel('$ per use', loc='center', size='x-large', c=snark_palette[-1]) # set label of y axis\n",
"ax.tick_params(axis='both', labelsize='large', colors=snark_palette[-1]) # set x/y ticks\n",
"ax.spines['bottom'].set_color(snark_palette[-1]) # color x axis\n",
"ax.spines['left'].set_color(snark_palette[-1]) # color y axis\n",
"ax.set_xticks([i for i in range(1, 11)]) # set x ticks labels\n",
"ax.set_xlim(1,10)\n",
"ax.set_ylim(0, 16)\n",
"ax.legend(loc='upper right', frameon=False).texts[0].set_text('')\n",
"ax.text(s='times used\\nper week\\nin summer', x=9.3, y=15, ha='center')\n",
"\n",
"# Save and plot\n",
"plt.savefig('plot.pic/plot.bike.png', dpi=150, bbox_inches='tight')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do I need a bike?\n",
"\n",
"If renting a bike in my city costs `$1` an hour, then I have to cycle whole summer for at least 6 years to justify the purchase."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Blog Post"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1664"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"blog_post = r\"\"\"\n",
"## 🚴♀️Do I need a bike? \n",
"\n",
"\n",
"My \\#bike is 10 years old. \n",
"It cost \\$100, but I still use it today. \n",
"\n",
"👀Thinking about \\#conscious \\#consumption I wondered how profitably I invested that \\$100 in my bike? \n",
"\n",
"📌I have prepared a simple \\#calculator to help prevent spontaneous purchases. \n",
"\n",
"I have tested it to answer if my old bike is \\#useful acquisition.\n",
"\n",
"✔For 10 years now, I've been cycling twice a week in the spring and summer, and I \"pay\" 19 cents each time. \n",
"It seems to be a bargain.\n",
"\n",
"✔What if reduce the usage years to 1 and leave only summer for cycling? \n",
"The cost has increased to $3.85 at a time (or an hour) and is no longer so attractive.\n",
"\n",
"✔One use can be understood as one hour of cycling or two hours, for example.\n",
"\n",
"🤍Recently, I liked a new bike in the store.\n",
"I could have made a spontaneous, thoughtless purchase, given into the mood.\n",
"However, now I would like to estimate how much the new bike will actually cost me. \n",
"So I did the calcs.\n",
"\n",
"I considered some of the uses for my new bike:\n",
"\n",
"◽I'll buy it in the store for \\$400. \n",
"◽I'll use it 1, 2, 4, 5, 6, 7, 8, 9 or 10 years. \n",
"◽I plan to cycle only in summer. \n",
"◽I want to cycle, maybe once a week, or on weekends, or time to time, or on weekdays. \n",
"◽I'm not going to sell it. \n",
"\n",
"📝Do I still need a bike? \n",
"\n",
"If renting a bike in my city costs $1 an hour, then I have to cycle whole summer for at least 6 years to justify the purchase. \n",
"\n",
"(Need to calc your own purchases? Follow the link in bio for the profitability calc!) \n",
". \n",
". \n",
". \n",
"\\#funtime \\#probably \\#datascience \\#datapower \\#data_sugar_profit \\#consciousconsumption\n",
"\\#data_know_everything_and_nothing \\#linkinbio \\#datajournalism\n",
"\"\"\"\n",
"\n",
"# Check post text length for Instagram\n",
"len(blog_post)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"\n",
"## 🚴♀️Do I need a bike? \n",
"\n",
"\n",
"My \\#bike is 10 years old. \n",
"It cost \\$100, but I still use it today. \n",
"\n",
"👀Thinking about \\#conscious \\#consumption I wondered how profitably I invested that \\$100 in my bike? \n",
"\n",
"📌I have prepared a simple \\#calculator to help prevent spontaneous purchases. \n",
"\n",
"I have tested it to answer if my old bike is \\#useful acquisition.\n",
"\n",
"✔For 10 years now, I've been cycling twice a week in the spring and summer, and I \"pay\" 19 cents each time. \n",
"It seems to be a bargain.\n",
"\n",
"✔What if reduce the usage years to 1 and leave only summer for cycling? \n",
"The cost has increased to $3.85 at a time (or an hour) and is no longer so attractive.\n",
"\n",
"✔One use can be understood as one hour of cycling or two hours, for example.\n",
"\n",
"🤍Recently, I liked a new bike in the store.\n",
"I could have made a spontaneous, thoughtless purchase, given into the mood.\n",
"However, now I would like to estimate how much the new bike will actually cost me. \n",
"So I did the calcs.\n",
"\n",
"I considered some of the uses for my new bike:\n",
"\n",
"◽I'll buy it in the store for \\$400. \n",
"◽I'll use it 1, 2, 4, 5, 6, 7, 8, 9 or 10 years. \n",
"◽I plan to cycle only in summer. \n",
"◽I want to cycle, maybe once a week, or on weekends, or time to time, or on weekdays. \n",
"◽I'm not going to sell it. \n",
"\n",
"📝Do I still need a bike? \n",
"\n",
"If renting a bike in my city costs $1 an hour, then I have to cycle whole summer for at least 6 years to justify the purchase. \n",
"\n",
"(Need to calc your own purchases? Follow the link in bio for the profitability calc!) \n",
". \n",
". \n",
". \n",
"\\#funtime \\#probably \\#datascience \\#datapower \\#data_sugar_profit \\#consciousconsumption\n",
"\\#data_know_everything_and_nothing \\#linkinbio \\#datajournalism\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Markdown as md\n",
"md(blog_post)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}