2-plot_figures_by_matplotlib_and_seaborn_en.ipynb · H/pygeo-tutorial

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2-plot_figures_by_matplotlib_and_seaborn_en.ipynb 675.68 KB

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   "cell_type": "markdown",
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   "source": [
    "In this tutorial, you will learn how to use Python's Matplotlib package and Seaborn package to draw data statistics chart for taxi GPS data\n",
    "\n",
    "<div class=\"alert alert-info\"><h2>The data provided：</h2><p>    data：<br>  \n",
    "    1.Taxi GPS data(sample)<br> \n",
    "    2.Taxi OD data<br></p></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read data"
   ]
  },
  {
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   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T03:30:35.465033Z",
     "start_time": "2020-02-29T03:30:34.223497Z"
    }
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       "   VehicleNum     Stime         Lng        Lat  OpenStatus  Speed\n",
       "0       22271  22:54:04  114.167000  22.718399           0      0\n",
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     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Read GPS data\n",
    "import pandas as pd\n",
    "data = pd.read_csv(r'data-sample/TaxiData-Sample',header = None)\n",
    "data.columns = ['VehicleNum', 'Stime', 'Lng', 'Lat', 'OpenStatus', 'Speed']\n",
    "data.head(5)"
   ]
  },
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   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T03:30:37.845764Z",
     "start_time": "2020-02-29T03:30:37.153006Z"
    }
   },
   "outputs": [
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       "      <th>VehicleNum</th>\n",
       "      <th>Stime</th>\n",
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       "      <th>SLat</th>\n",
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       "   VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0       22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
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       "\n",
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Read OD data\n",
    "TaxiOD = pd.read_csv(r'data-sample/TaxiOD.csv')\n",
    "TaxiOD.columns = ['VehicleNum', 'Stime', 'SLng', 'SLat', \n",
    "       'ELng', 'ELat','Etime']\n",
    "TaxiOD.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T01:45:40.871204Z",
     "start_time": "2020-02-29T01:45:40.867243Z"
    }
   },
   "source": [
    "# Plot the chart of hourly GPS data volume"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aggregate the data to plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, aggregate the data to plot, use the **df.groupby** function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:02:28.940612Z",
     "start_time": "2020-02-29T02:02:28.932605Z"
    }
   },
   "source": [
    "If we want to aggregate hourly data, we need to generate a column that store the information of the hour, and then aggregate based on this column.   \n",
    "So here we process the **Stime** column get the **Hour** column, for example:\n",
    "\n",
    "|Stime | |Hour |\n",
    "| ----------- |---|-----------|\n",
    "|22:54:04|→|22|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:05:39.109348Z",
     "start_time": "2020-02-29T02:05:38.562784Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    22\n",
       "1    18\n",
       "2    18\n",
       "3    16\n",
       "4    21\n",
       "Name: Hour, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###########################You need to write code here#############################\n",
    "\n",
    "\n",
    "###################################################################################\n",
    "data['Hour'].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:15:08.871315Z",
     "start_time": "2020-02-29T02:13:52.680257Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "方法1 0.7930858135223389 s\n",
      "方法2 0.564007043838501 s\n",
      "方法3 74.82296347618103 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0          22\n",
       "1          18\n",
       "2          18\n",
       "3          16\n",
       "4          21\n",
       "           ..\n",
       "1601302    20\n",
       "1601303    20\n",
       "1601304    20\n",
       "1601305    20\n",
       "1601306    20\n",
       "Name: Hour, Length: 1601307, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###############################     Answer    ##################################\n",
    "#time it\n",
    "import time\n",
    "timeflag = time.time()\n",
    "#Method 1：Take the time as a string, \n",
    "#and use the str methodto take the first two characters\n",
    "data['Hour'] = data['Stime'].str.slice(0,2)\n",
    "\n",
    "#print time consumed\n",
    "print('method 1',time.time()-timeflag,'s')\n",
    "timeflag = time.time()\n",
    "\n",
    "#Method 2：Take the time as a string, \n",
    "#and use apply method to get the first two characters in every row \n",
    "data['Hour'] = data['Stime'].apply(lambda r:r[:2])\n",
    "\n",
    "#print time consumed\n",
    "print('method 2',time.time()-timeflag,'s')\n",
    "timeflag = time.time()\n",
    "\n",
    "#Method 3: convert to time format and extract hours (very slow)\n",
    "data['Hour'] = pd.to_datetime(data['Stime']).apply(lambda r:r.hour)\n",
    "\n",
    "#print time consumed\n",
    "print('method 3',time.time()-timeflag,'s')\n",
    "timeflag = time.time()\n",
    "\n",
    "###################################################################################\n",
    "data['Hour']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that a good method can greatly improve the efficiency of your program"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are going to aggregate hourly data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note：here we need to use the method **df.groupby** from pandas DataFrame, if you don't know that, please <a href=\"http://pandas.pydata.org/pandas-docs/stable/\">check pandas document</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:17:46.794296Z",
     "start_time": "2020-02-29T02:17:46.307596Z"
    }
   },
   "outputs": [
    {
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      "text/plain": [
       "  Stime  VehicleNum\n",
       "0    00       68745\n",
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       "3    03       57494\n",
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "#Aggregate grid OD\n",
    "###########################You need to write code here#############################\n",
    "#Tips：use df.groupby().count()\n",
    "#after groupby, columns will become index\n",
    "#so we use df.reset_index(), to change index into columns\n",
    "\n",
    "###################################################################################\n",
    "hourcount.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###############################     Answer    ##################################\n",
    "#If we don't specify a column, it will count every column, \n",
    "#so here I only take one column to aggregate. For example['VehicleNum']\n",
    "\n",
    "hourcount = data.groupby(data['Stime'].apply(lambda r:r[:2]))['VehicleNum'].count().reset_index()\n",
    "###################################################################################"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T01:59:42.170541Z",
     "start_time": "2020-02-29T01:59:42.164559Z"
    }
   },
   "source": [
    "## Start to plot\n",
    "Matplotlib is the most basic plotting package of Python. Here we use Matplotlib package to draw the chart of GPS data volume per hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:31:56.078066Z",
     "start_time": "2020-02-29T02:31:55.899510Z"
    }
   },
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#In general, the code of plotting with Matplotlib consists of three parts\n",
    "#Part I: creating a figure\n",
    "import matplotlib.pyplot as plt\n",
    "#use plt.figure to create a figure\n",
    "#Where fig is the whole figure, \n",
    "#ax is one of the small sub figures in the figure \n",
    "#and plt is our pen\n",
    "fig     = plt.figure(1,(8,4))    \n",
    "ax      = plt.subplot(111)\n",
    "#told the pen that we are going to plot on ax\n",
    "plt.sca(ax)\n",
    "\n",
    "#Part II: plot something\n",
    "#use plt.plot to draw line plot\n",
    "plt.plot(hourcount['Stime'],hourcount['VehicleNum'])\n",
    "\n",
    "\n",
    "#Part III: Adjustment\n",
    "plt.title('Hourly data Volume')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, let's add more things to the code and adjust the figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:35:53.202609Z",
     "start_time": "2020-02-29T02:35:52.826650Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig     = plt.figure(1,(8,4),dpi = 250)    \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "#Change color of the line plot and add data points\n",
    "plt.plot(hourcount['Stime'],hourcount['VehicleNum'],'k-',hourcount['Stime'],hourcount['VehicleNum'],'k.')\n",
    "#Add bar plot\n",
    "plt.bar(hourcount['Stime'],hourcount['VehicleNum'],width =0.5)\n",
    "\n",
    "plt.title('Hourly data Volume')\n",
    "\n",
    "#Fix the starting point of y-axis at 0\n",
    "plt.ylim(0,80000)\n",
    "plt.ylabel('Data volumn')\n",
    "plt.xlabel('Hour')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:30:41.785637Z",
     "start_time": "2020-02-29T02:30:41.745444Z"
    }
   },
   "outputs": [],
   "source": [
    "#if you don't know what parameters they have, just use:\n",
    "?plt.bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[seaborn](http://seaborn.pydata.org/)is a package based on matplotlib.  \n",
    "It provides some drawing themes to draw a better picture.  \n",
    "It is also a collection of some functions. Some plot you have to write many code using plt, but seaborn only needs one code.   \n",
    "And actually, we can use Seaborn's theme to draw Matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:34:56.846204Z",
     "start_time": "2020-02-29T02:34:56.456275Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Add the seaborn's theme\n",
    "import seaborn as sns\n",
    "sns.set_style('darkgrid',{\"xtick.major.size\": 10 , \"ytick.major.size\": 10})\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "fig     = plt.figure(1,(8,4),dpi = 250)    \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "plt.plot(hourcount['Stime'],hourcount['VehicleNum'],'k-',hourcount['Stime'],hourcount['VehicleNum'],'k.')\n",
    "plt.bar(hourcount['Stime'],hourcount['VehicleNum'],width =0.5)\n",
    "\n",
    "plt.title('Hourly data Volume')\n",
    "\n",
    "plt.ylim(0,80000)\n",
    "plt.ylabel('Data Volume')\n",
    "plt.xlabel('Hour')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:37:52.523786Z",
     "start_time": "2020-02-29T02:37:52.508830Z"
    }
   },
   "source": [
    "OK, here you can try to draw the same figure for the taxiod data to the order volume per hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:38:05.166388Z",
     "start_time": "2020-02-29T02:38:05.145481Z"
    }
   },
   "outputs": [
    {
     "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>VehicleNum</th>\n",
       "      <th>Stime</th>\n",
       "      <th>SLng</th>\n",
       "      <th>SLat</th>\n",
       "      <th>ELng</th>\n",
       "      <th>ELat</th>\n",
       "      <th>Etime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>22223</td>\n",
       "      <td>00:03:23</td>\n",
       "      <td>114.167465</td>\n",
       "      <td>22.562468</td>\n",
       "      <td>114.225235</td>\n",
       "      <td>22.552750</td>\n",
       "      <td>00:10:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>22223</td>\n",
       "      <td>00:11:33</td>\n",
       "      <td>114.227150</td>\n",
       "      <td>22.554167</td>\n",
       "      <td>114.229218</td>\n",
       "      <td>22.560217</td>\n",
       "      <td>00:15:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>22223</td>\n",
       "      <td>00:17:13</td>\n",
       "      <td>114.231354</td>\n",
       "      <td>22.562166</td>\n",
       "      <td>114.255798</td>\n",
       "      <td>22.590967</td>\n",
       "      <td>00:29:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>22223</td>\n",
       "      <td>00:36:45</td>\n",
       "      <td>114.240196</td>\n",
       "      <td>22.563650</td>\n",
       "      <td>114.119965</td>\n",
       "      <td>22.566668</td>\n",
       "      <td>00:54:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>22223</td>\n",
       "      <td>01:01:14</td>\n",
       "      <td>114.135414</td>\n",
       "      <td>22.575933</td>\n",
       "      <td>114.166748</td>\n",
       "      <td>22.608267</td>\n",
       "      <td>01:08:17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0       22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
       "1       22223  00:11:33  114.227150  22.554167  114.229218  22.560217   \n",
       "2       22223  00:17:13  114.231354  22.562166  114.255798  22.590967   \n",
       "3       22223  00:36:45  114.240196  22.563650  114.119965  22.566668   \n",
       "4       22223  01:01:14  114.135414  22.575933  114.166748  22.608267   \n",
       "\n",
       "      Etime  \n",
       "0  00:10:48  \n",
       "1  00:15:19  \n",
       "2  00:29:06  \n",
       "3  00:54:42  \n",
       "4  01:08:17  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TaxiOD.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box chart of order duration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculation of order duration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, I want to draw the duration distribution of taxi trips, let's calculate the duration of order from Taxiod data.\n",
    "\n",
    "We create a column called order_time, which stores the duration from stime to etime. The unit is second(s)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:49:35.442346Z",
     "start_time": "2020-02-29T02:49:35.368256Z"
    }
   },
   "outputs": [],
   "source": [
    "TaxiOD = TaxiOD[-TaxiOD['Etime'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:47:29.073253Z",
     "start_time": "2020-02-29T02:47:29.057297Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     445\n",
       "1     226\n",
       "2     713\n",
       "3    1077\n",
       "4     423\n",
       "dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###########################You need to write code here#############################\n",
    "\n",
    "TaxiOD['order_time'] = \n",
    "\n",
    "###################################################################################\n",
    "TaxiOD['order_time'].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:54:34.352998Z",
     "start_time": "2020-02-29T02:53:48.460667Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "方法1 0.948462724685669 s\n",
      "方法2 44.932862758636475 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0     445\n",
       "1     226\n",
       "2     713\n",
       "3    1077\n",
       "4     423\n",
       "Name: order_time, dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###############################     Answer    ##################################\n",
    "#time it\n",
    "import time\n",
    "timeflag = time.time()\n",
    "#Method 1：calculate by regarding it as a string\n",
    "TaxiOD['order_time'] = TaxiOD['Etime'].str.slice(0,2).astype('int')*3600+\\\n",
    "TaxiOD['Etime'].str.slice(3,5).astype('int')*60+\\\n",
    "TaxiOD['Etime'].str.slice(6,8).astype('int')-\\\n",
    "TaxiOD['Stime'].str.slice(0,2).astype('int')*3600-\\\n",
    "TaxiOD['Stime'].str.slice(3,5).astype('int')*60-\\\n",
    "TaxiOD['Stime'].str.slice(6,8).astype('int')\n",
    "\n",
    "#print time consumed\n",
    "print('Method 1',time.time()-timeflag,'s')\n",
    "timeflag = time.time()\n",
    "\n",
    "#Method 2：convert to time format and extract duration (very slow)\n",
    "TaxiOD['order_time'] = (pd.to_datetime(TaxiOD['Etime'])-pd.to_datetime(TaxiOD['Stime']))\n",
    "TaxiOD['order_time'] = TaxiOD['order_time'].apply(lambda r:r.seconds)\n",
    "\n",
    "#print time consumed\n",
    "print('Method 2',time.time()-timeflag,'s')\n",
    "timeflag = time.time()\n",
    "\n",
    "###################################################################################\n",
    "\n",
    "TaxiOD['order_time'].head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting in two ways"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we use **plt.boxplot** to draw the box chart of all data distribution\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T03:01:14.155252Z",
     "start_time": "2020-02-29T03:01:13.791224Z"
    }
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1750x750 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig     = plt.figure(1,(7,3),dpi = 250)    \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "plt.boxplot(TaxiOD['order_time']/60)\n",
    "\n",
    "plt.ylabel('minutes')\n",
    "plt.xlabel('order time')\n",
    "plt.ylim(0,60)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T03:05:27.360207Z",
     "start_time": "2020-02-29T03:05:27.353192Z"
    }
   },
   "source": [
    "Then, I want the order duration time distribution grouped by hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T02:57:20.898444Z",
     "start_time": "2020-02-29T02:57:20.727849Z"
    }
   },
   "outputs": [],
   "source": [
    "TaxiOD['Hour'] = TaxiOD['Stime'].str.slice(0,2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When plotting data in multiple groups, plt.boxplot needs the data format as:\n",
    ">plt.boxplot([data1,data2,...])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig     = plt.figure(1,(10,5),dpi = 250)  \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "###########################You need to write code here#############################\n",
    "\n",
    "\n",
    "\n",
    "###################################################################################\n",
    "\n",
    "plt.ylabel('Order time(minutes)')\n",
    "plt.xlabel('Order start time')\n",
    "plt.ylim(0,60)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T03:12:30.842794Z",
     "start_time": "2020-02-29T03:12:29.154276Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2500x1250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig     = plt.figure(1,(10,5),dpi = 250)     \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "###############################     Answer    ##################################\n",
    "#Calculate data and transform format\n",
    "hour = TaxiOD['Hour'].drop_duplicates().sort_values()\n",
    "datas = []\n",
    "for i in range(len(hour)):\n",
    "    datas.append(TaxiOD[TaxiOD['Hour']==hour.iloc[i]]['order_time']/60)\n",
    "#plot\n",
    "plt.boxplot(datas)\n",
    "#Change the ticks in x-axis\n",
    "plt.xticks(range(1,len(hour)+1),list(hour))\n",
    "###################################################################################\n",
    "\n",
    "plt.ylabel('Order time(minutes)')\n",
    "plt.xlabel('Order start time')\n",
    "plt.ylim(0,60)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use the seaborn package to plot same thing. At this time, we only need to input the whole dataset, and tell the function how should it group the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T03:02:00.319771Z",
     "start_time": "2020-02-29T03:01:59.137206Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2500x1250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig     = plt.figure(1,(10,5),dpi = 250)    \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "#Only one row:\n",
    "sns.boxplot(x=\"Hour\", y=TaxiOD[\"order_time\"]/60, data=TaxiOD,ax = ax)\n",
    "\n",
    "plt.ylabel('Order time(minutes)')\n",
    "plt.xlabel('Order start time')\n",
    "plt.ylim(0,60)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "214px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

一键复制编辑原始数据按行查看历史

提交于 2021-02-25 15:09 . update

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