{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"![Ashrae.jpg](attachment:Ashrae.jpg)\n\n# ASHRAE - Great Energy Predictor III\n\n  **How much energy will a building consume?**\n\n- <a href='#1'>1. Introduction</a>\n    - <a href='#1-1'>1.1. Data</a>\n    - <a href='#1-2'>1.2. Evaluation Metric</a>\n      \n- <a href='#2'>2. Exploratory Data Analysis</a>\n   - <a href='#2-1'>2.1. Analysis of train dataset</a>\n   - <a href='#2-2'>2.2. Analysis of weather dataset</a>\n   - <a href='#2-3'>2.3. Analysis of building dataset</a>\n   - <a href='#2-4'>2.4. More exploration</a>\n       - <a href='#2-4.1'>2.4.1 Expand Timestamp</a>\n       - <a href='#2-4.2'>2.4.2 Exploration with time</a>\n    \n- <a href='#3'>3. Missing Data</a>\n- <a href='#4'>4. Outliers</a>\n- <a href='#5'>5. Models</a>\n\n","attachments":{"Ashrae.jpg":{"image/jpeg":"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"}}},{"metadata":{"trusted":true},"cell_type":"code","source":"import matplotlib.pylab as plt\nimport seaborn as sns\nimport plotly.express as px\nimport gc\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# <a id='1'>1. Introduction</a>"},{"metadata":{},"cell_type":"markdown","source":"In this competition, we are tasked with developing accurate predictions of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe.\n\nThe aim is that with better estimates of these energy-saving investments, large scale investors and financial institutions will be more inclined to invest in this area to enable progress in building efficiencies."},{"metadata":{},"cell_type":"markdown","source":"## <a id='1-1'>1.1 Data</a>"},{"metadata":{},"cell_type":"markdown","source":"- We are trying to predict energy consuption for 1449 buildings. The value we are trying to predict is the `meter_reading`\n- Each building can have multiple meters - The meter id code. Read as `{0: electricity, 1: chilledwater, 2: steam, 3: hotwater}`. Not every building has all meter types.\n- We are given:\n    1. Historic meter reading data by timestamp for the building (`train.csv`)\n    2. Building metadata including the building use, square ft area, year build(`building_meta.csv`). This data does not change between the training and test set.\n    3. Weather data with predicpitation, cloud_coverage, `air_temperature` and more (`weather_[train/test].csv`)\n- We are also provied csvs to be used for submission:\n    1. `test.csv` which contains the meter, building id and timestamp we will be predicting for\n    2. `sample_submission.csv` which contains all the future data we would like to predict\n"},{"metadata":{},"cell_type":"markdown","source":"\n## <a id='1-2'>1.2 Evaluation Metric</a>"},{"metadata":{},"cell_type":"markdown","source":"\nThe evaluation metric for this competition is Root Mean Squared Logarithmic Error.\n![rmsle.png](attachment:rmsle.png)","attachments":{"rmsle.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"# <a id='2'>2. Exploratory Data Analysis</a>"},{"metadata":{},"cell_type":"markdown","source":"##  <a id='2-1'>2.1. Analysis of train dataset</a>"},{"metadata":{"trusted":true,"_kg_hide-input":false},"cell_type":"code","source":"train = pd.read_csv('../input/ashrae-energy-prediction/train.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"train.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(train[\"timestamp\"].min() , train[\"timestamp\"].max(),sep =\"\\n\")\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"train['meter_reading'].describe()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"zeros = train[train['meter_reading']== 0].shape[0] / train.shape[0]\nprint('Zero reading percentile : {}'.format(round(zeros,3)))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"9% of the reading value is zero.We have the information that some buildings have more than one meter type and we can consider as usage of seasonal energy meters may cause zeros.To be more spesific,we don't need to use chilled water at cold days.Likewise,hotwater usage can be change time to time.However,those data can be missing because no energy consumption doesn't make sense at all !"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Converting meter to what they stand for\n\ntrain['meter'].replace({0:\"electricity\",1:\"chilledwater\",2:\"steam\",3:\"hotwater\"},inplace=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"meter_dict = {}\nfor i in train[\"meter\"].unique():\n    percent = round(train[train['meter_reading']== 0][\"meter\"].value_counts()[i] /train[\"meter\"].value_counts()[i],2)\n    meter_dict[i] = percent\nzero_meter = pd.Series(meter_dict)\nsns.barplot(x=zero_meter.index, y= zero_meter,palette =\"Set2\")\nplt.title(\"Meters percentage having zero readings\")\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train[\"timestamp2\"] = pd.to_datetime(train[\"timestamp\"])\ntrain[\"month\"] = train.timestamp2.dt.month","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fig, axs = plt.subplots(2,2, sharey=True, tight_layout=True,figsize=(10,6))\n\naxs[0][0].hist(x =\"month\",data =train[(train.meter_reading == 0) & (train.meter==\"electricity\")],bins =12,color = \"navajowhite\")\naxs[0][0].set_title(\"For electricity\")\n\naxs[0][1].hist(x =\"month\",data =train[(train.meter_reading == 0) & (train.meter==\"chilledwater\")],bins =12,color = \"skyblue\")\naxs[0][1].set_title(\"For chilled water\")\n\naxs[1][0].hist(x =\"month\",data =train[(train.meter_reading == 0) & (train.meter==\"steam\")],bins =12,color = \"slategrey\")\naxs[1][0].set_title(\"For steam\")\n\naxs[1][1].hist(x =\"month\",data =train[(train.meter_reading == 0) & (train.meter==\"hotwater\")],bins =12,color = \"lightcoral\")\naxs[1][1].set_title(\"For hot water\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.drop(\"timestamp2\",axis = 1 ,inplace = True)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"As seen in graphs zero readings change from time to time and meter type. Electricity meter zeros have seen the first 5 months of the year. With the beginning of the sixth month, zero readings scale down. Chilled water and hot water zeros have seasonal changes. Steam and hot water zeros distribution look very similar."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Function for remove Outlier\n\ndef removeOutliers(data, outlierConstant = 1.5):\n    values = np.array(data)\n    upper_quartile = np.percentile(values, 75)\n    lower_quartile = np.percentile(values, 25)\n    IQR = (upper_quartile - lower_quartile) * outlierConstant\n    quartile = (lower_quartile - IQR, upper_quartile + IQR)\n    results = []\n    for i in values.tolist():\n        if i >= quartile[0] and i <= quartile[1]:\n            results.append(i)\n    return results","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"target_noOutlier = removeOutliers(train.meter_reading)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"fig, axes = plt.subplots(1, 3,figsize=(12,5))\n\nsns.distplot(train.meter_reading,hist = False,ax = axes[0])\naxes[0].set_title(\"Target distribution\")\n\nsns.distplot(target_noOutlier,ax=axes[1])\naxes[1].set_title(\"Target distribution without outlier\")\n\nsns.distplot(np.log1p(train.meter_reading),ax = axes[2])\naxes[2].set_title(\"Target with Log Transform\") ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train['meter_reading_log'] = np.log1p(train['meter_reading'])","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Meter reading variable is heavily right skewed and there are lots of zeros in meter reading.Applying logarithmic transformation turns to skewed distribution into a more normalized dataset.Besides zeros reading we also have outliers !"},{"metadata":{"trusted":true},"cell_type":"code","source":"sns.countplot(x= \"meter\",data = train,color = 'b')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sns.kdeplot(train.loc[(train['meter']=='electricity'), \n            \"meter_reading_log\"], color='yellow', shade=False, Label='electricity')\n\nsns.kdeplot(train.loc[(train['meter']=='chilledwater'), \n            \"meter_reading_log\"], color='b', shade=False, Label='chilledwater')\n\nsns.kdeplot(train.loc[(train['meter']=='steam'), \n            \"meter_reading_log\"], color='gray', shade=False, Label='steam')\n\nsns.kdeplot(train.loc[(train['meter']=='hotwater'), \n            \"meter_reading_log\"], color='r', shade=False, Label='hotwater')\n\nplt.xlabel('meter_reading_log') \nplt.ylabel('Probability Density') ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Graphs shows distribution meter_reading in each meter category"},{"metadata":{},"cell_type":"markdown","source":"##  <a id='2-2'>2.2. Analysis of weather dataset</a>"},{"metadata":{"trusted":true},"cell_type":"code","source":"weather_train =pd.read_csv(\"../input/ashrae-energy-prediction/weather_train.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"weather_train.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"weather_train.info()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"weather_train.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"8 features are numeric ,only timestamp not numeric we will convert to datetime for more exploration.\ncloud_coverage, precip_depth_1_hr, sea_level_pressure and wind_direction have missing values.\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"weather_train.describe()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Seems like we have outliers.Lets check with a box plot for each site.Also values range quite different from each other. Before ploting scale them to get clear results. "},{"metadata":{"trusted":true},"cell_type":"code","source":"fig, axes = plt.subplots(7,1,figsize=(10,30)) \ncolumns = weather_train.drop([\"site_id\",\"timestamp\"],axis=1).columns\nfor i,col in enumerate(list(columns)):\n\n    plot = weather_train.boxplot(col, by=\"site_id\", ax=axes.flatten()[i])\n\nplt.tight_layout() \n\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Apart from outliers we dont have any data or less data for cloud_coverage,precip_depth,sea_level_pressure at some sites.Precip_depth have significantly outliers."},{"metadata":{"trusted":true},"cell_type":"code","source":"sns.heatmap(weather_train.corr(),linewidths=.5,cmap=\"YlGnBu\")","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We have strong correlation between air_temp and dew_temp."},{"metadata":{},"cell_type":"markdown","source":"##  <a id='2-3'>2.3. Analysis of building dataset</a>"},{"metadata":{"trusted":true},"cell_type":"code","source":"build = pd.read_csv(\"../input/ashrae-energy-prediction/building_metadata.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"build.info()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"build.tail()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"build.primary_use.unique()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"floor_count and year_built have lots of missing values.We can take primary_use as categorical value. \n"},{"metadata":{"trusted":true},"cell_type":"code","source":"build.groupby('site_id').agg({\"building_id\":[min,max]})","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fig, axes = plt.subplots(1, 2,figsize=(16,5))\nsite_build = build.groupby('site_id').building_id.size()\nsns.barplot(x=site_build.index , y= site_build,color=\"salmon\",ax=axes[0])\naxes[0].set_ylabel(\"Number of building\")\nsns.countplot(y=\"primary_use\",data=build ,ax=axes[1],color=\"salmon\")\nfig.subplots_adjust(wspace=0.5)\nplt.ylabel(\"\")\ndel site_build\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sns.heatmap(build.corr(),linewidths=.5,annot =True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fig, axes = plt.subplots(3,1,figsize=(10,10)) \ncolumns = build.drop([\"primary_use\",\"site_id\",\"building_id\"],axis=1).columns\nfor i,col in enumerate(list(columns)):\n    plot = build.boxplot(col, by=\"site_id\", ax=axes.flatten()[i])\n\nplt.tight_layout() \n\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"build.hist(column =\"year_built\",bins=50)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"gc.collect()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##  <a id='2-4'>2.4. More exploration</a>"},{"metadata":{"_kg_hide-input":false,"trusted":true},"cell_type":"code","source":"# Reduce memory size func \n\ndef reduce_mem_usage(df, verbose=True):\n    numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']\n    start_mem = df.memory_usage().sum() / 1024**2\n    for col in df.columns:\n        col_type = df[col].dtypes\n        if col_type in numerics:\n            c_min = df[col].min()\n            c_max = df[col].max()\n            if str(col_type)[:3] == 'int':\n                if c_min > np.iinfo(np.int8).min and c_max < np.iinfo(np.int8).max:\n                    df[col] = df[col].astype(np.int8)\n                elif c_min > np.iinfo(np.int16).min and c_max < np.iinfo(np.int16).max:\n                    df[col] = df[col].astype(np.int16)\n                elif c_min > np.iinfo(np.int32).min and c_max < np.iinfo(np.int32).max:\n                    df[col] = df[col].astype(np.int32)\n                elif c_min > np.iinfo(np.int64).min and c_max < np.iinfo(np.int64).max:\n                    df[col] = df[col].astype(np.int64)\n            else:\n                if c_min > np.finfo(np.float16).min and c_max < np.finfo(np.float16).max:\n                    df[col] = df[col].astype(np.float16)\n                elif c_min > np.finfo(np.float32).min and c_max < np.finfo(np.float32).max:\n                    df[col] = df[col].astype(np.float32)\n                else:\n                    df[col] = df[col].astype(np.float64)\n\n    end_mem = df.memory_usage().sum() / 1024**2\n    print('Memory usage after optimization is: {:.2f} MB'.format(end_mem))\n    print('Decreased by {:.1f}%'.format(100 * (start_mem - end_mem) / start_mem))\n\n    return df","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train = reduce_mem_usage(train)\n\nweather_train = reduce_mem_usage(weather_train)\n\nbuild = reduce_mem_usage(build)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"Train merge on : \")\nprint(\"build : \",set(train.columns).intersection(set(build.columns)))\nprint(\"weather :\",set(build.columns).intersection(set(weather_train.columns)),end =\"\")\nprint(set(train.columns).intersection(set(weather_train.columns)))      ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Merge dataset\n\ntrain = train.merge(build, on='building_id', how='left')\nalltrain = train.merge(weather_train, on=['site_id','timestamp'], how='left')\n\ndel build,weather_train,train\ngc.collect()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain[\"timestamp\"] = pd.to_datetime(alltrain[\"timestamp\"])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#alltrain.info()\n\nnumeric_col = alltrain.select_dtypes(np.number).columns.tolist()\ncategoric_col =alltrain.select_dtypes(\"object\").columns.tolist()\ndate =alltrain.select_dtypes(\"datetime\").columns.tolist()\nprint(\"numeric columns : {} \".format(numeric_col))\nprint(\"categorical columns : {} \".format(categoric_col))\nprint(\"datetime columns : {} \".format(date))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain.drop(['building_id','site_id'],axis =1).describe() ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"use = alltrain.groupby(\"primary_use\").meter_reading.mean()\nsns.barplot(y=use.index,x=use)\ndel use","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"feet_range = pd.cut(alltrain.square_feet, bins=np.arange(0, 1000000, 100000))\nsquare_meter_read = pd.concat([feet_range,alltrain.meter_reading],axis =1)\ns = square_meter_read.groupby(\"square_feet\").meter_reading.mean()\nsns.barplot(y=s.index,x=s)\ndel feet_range,square_meter_read,s","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"gc.collect()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##  <a id='2-4.1'>2.4.1 Expand Timestamp</a>"},{"metadata":{"trusted":true},"cell_type":"code","source":"#  expanded on over time\nalltrain.rename(columns = {\"timestamp\":\"date\"},inplace= True)\nalltrain[\"month\"] = np.uint8(alltrain[\"date\"].dt.month)\nalltrain[\"week\"] =alltrain[\"date\"].dt.weekofyear\nalltrain[\"weekday\"] = np.uint8(alltrain[\"date\"].dt.weekday)\nalltrain[\"day\"] = np.uint8(alltrain[\"date\"].dt.day)\nalltrain[\"hour\"] = np.uint8(alltrain[\"date\"].dt.hour)\nalltrain[\"weekend\"] = [1 if x in [5,6] else 0 for x in alltrain.day]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain['part_of_day'] = (alltrain['date'].dt.hour % 24 + 4) // 4\nalltrain['part_of_day'].replace({1: 'Late Night',\n                      2: 'Early Morning',\n                      3: 'Morning',\n                      4: 'Noon',\n                      5: 'Evening',\n                      6: 'Night'}, inplace=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"reduce_mem_usage(alltrain)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##  <a id='2-4.2'>2.4.2 Exploration with time</a>"},{"metadata":{"trusted":true},"cell_type":"code","source":"columns = [\"date\",\"hour\"]\nfor col in columns:\n    time = alltrain.groupby([col,\"meter\"]).meter_reading_log.mean().reset_index()\n    fig = px.line(time, x=col, y=\"meter_reading_log\",color='meter')\n    fig.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for x in [\"weekend\",\"part_of_day\",\"weekday\"]:\n    sns.boxplot(x = x, y= \"meter_reading_log\",data = alltrain,palette = \"pastel\")\n    plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n    plt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# <a id='3'>3. Missing Data</a>"},{"metadata":{"trusted":true},"cell_type":"code","source":"def findnull(data):\n    nullseries = data.isnull().sum()\n    onlynull= nullseries[nullseries > 0]\n    print(onlynull)\n    sns.barplot(x=onlynull.index , y=onlynull*100/len(data))\n    plt.ylabel(\"PERCENTAGE NULL DATA\")\n    plt.xlabel(\"COLUMN NAME\")\n    plt.xticks(rotation=90)\n    plt.figure(figsize=(20,6))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"findnull(alltrain)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain.columns","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def impute_weather(df):\n    columns = ['air_temperature', 'cloud_coverage', 'dew_temperature','precip_depth_1_hr',\n'sea_level_pressure', 'wind_direction','wind_speed'] \n    for col in columns:\n    \n        imputaion = df.groupby(['site_id','part_of_day','month'])[col].transform('mean')\n        df[col].fillna(imputaion,inplace = True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"impute_weather(alltrain)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"findnull(alltrain)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain.floor_count.fillna(0,inplace = True)  ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# <a id='4'>4. Outliers</a>"},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain[alltrain.meter_reading==0].groupby(\"site_id\").size().sort_values()[-5:]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sites =[0,13,14,2,9]\nfor s in sites:\n    site = alltrain[alltrain.site_id==s].groupby([\"date\",\"meter\"]).meter_reading_log.mean().reset_index()\n    fig = px.line(site, x=\"date\", y=\"meter_reading_log\",color='meter',title='Site{}'.format(s))\n    fig.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"All electricity meter is 0 until May 20 for site_id == 0. I will remove these data from training data."},{"metadata":{"trusted":true},"cell_type":"code","source":"alltrain.groupby([\"site_id\",\"building_id\"]).meter_reading.sum().sort_values()[:-6:-1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import plotly.express as px \nfig = px.histogram(np.log1p(alltrain[alltrain['site_id']==13].meter_reading),nbins =10, width=800, height=400)\nfig.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from plotly.subplots import make_subplots\nimport plotly.graph_objects as go\nfig = make_subplots(rows=4, cols=1,subplot_titles=(\"Plot electricity\", \"Plot chilled water\", \"Plot steam\", \"Plot hot water\"))\nmax_cons1 = alltrain[(alltrain['building_id']==1099) & (alltrain.meter == \"electricity\")]\nmax_cons2 = alltrain[(alltrain['building_id']==1099) & (alltrain.meter == \"chilledwater\")]\nmax_cons3 = alltrain[(alltrain['building_id']==1099) & (alltrain.meter == \"steam\")]\nmax_cons4 = alltrain[(alltrain['building_id']==1099) & (alltrain.meter == \"hotwater\")]\nfig.add_trace(\n    go.Scatter(x=max_cons1.date,y=max_cons1.meter_reading),\n    row=1, col=1\n)\nfig.add_trace(\n    go.Scatter(x=max_cons2.date,y=max_cons2.meter_reading),\n    row=2, col=1\n)\nfig.add_trace(\n    go.Scatter(x=max_cons3.date,y=max_cons3.meter_reading),\n    row=3, col=1\n)\nfig.add_trace(\n    go.Scatter(x=max_cons4.date,y=max_cons4.meter_reading),\n    row=4, col=1\n)\nfig.update_layout(height=600, width=800, title_text=\"Side By Side Subplots\")\nfig.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# <a id='5'>5. Models</a>"},{"metadata":{},"cell_type":"markdown","source":"Go [Ashrae2](https://www.kaggle.com/zeynepkurban/ashrae-2) for model."}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}