pge.ipynb

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     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Transaction Date</th>\n",
       "      <th>Posted Date</th>\n",
       "      <th>Description</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>7/11/2019</td>\n",
       "      <td>7/12/2019</td>\n",
       "      <td>PGE WEBRECURRING 800-743-5000 CA</td>\n",
       "      <td>56.82</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>9/9/2019</td>\n",
       "      <td>9/10/2019</td>\n",
       "      <td>PGE WEBRECURRING 800-743-5000 CA</td>\n",
       "      <td>66.72</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>8/9/2019</td>\n",
       "      <td>8/12/2019</td>\n",
       "      <td>PGE WEBRECURRING 800-743-5000 CA</td>\n",
       "      <td>68.47</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12/11/2019</td>\n",
       "      <td>12/12/2019</td>\n",
       "      <td>PGE WEBRECURRING 800-743-5000 CA</td>\n",
       "      <td>76.21</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>11/8/2019</td>\n",
       "      <td>11/11/2019</td>\n",
       "      <td>PGE WEBRECURRING 800-743-5000 CA</td>\n",
       "      <td>65.32</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>10/10/2019</td>\n",
       "      <td>10/11/2019</td>\n",
       "      <td>PGE WEBRECURRING 800-743-5000 CA</td>\n",
       "      <td>44.17</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Transaction Date Posted Date                       Description  Debit  \\\n",
       "116        7/11/2019   7/12/2019  PGE WEBRECURRING 800-743-5000 CA  56.82   \n",
       "75          9/9/2019   9/10/2019  PGE WEBRECURRING 800-743-5000 CA  66.72   \n",
       "265         8/9/2019   8/12/2019  PGE WEBRECURRING 800-743-5000 CA  68.47   \n",
       "60        12/11/2019  12/12/2019  PGE WEBRECURRING 800-743-5000 CA  76.21   \n",
       "127        11/8/2019  11/11/2019  PGE WEBRECURRING 800-743-5000 CA  65.32   \n",
       "225       10/10/2019  10/11/2019  PGE WEBRECURRING 800-743-5000 CA  44.17   \n",
       "\n",
       "     Credit  \n",
       "116     NaN  \n",
       "75      NaN  \n",
       "265     NaN  \n",
       "60      NaN  \n",
       "127     NaN  \n",
       "225     NaN  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "csvs = Path(Path.home(), 'Downloads').glob('transactions*.CSV')\n",
    "\n",
    "frames = [pd.read_csv(p) for p in csvs]\n",
    "\n",
    "df = pd.concat(frames)\n",
    "\n",
    "pge = df[df.Description.map(lambda s: 'PGE WEBRECURRING' in s)]\n",
    "\n",
    "pge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PG&E cost per-person since June:\n",
      "$94.43\n"
     ]
    }
   ],
   "source": [
    "print(\"PG&E cost per-person since June:\\n${:.2f}\".format(pge.Debit.sum() / 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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