{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np \nimport pandas as pd \nimport pylab as plt\nimport seaborn as sns\nimport os\nimport cv2\nimport warnings\nwarnings.filterwarnings(\"ignore\")\nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":92,"outputs":[{"output_type":"stream","text":"['test', 'train', 'train.csv', 'labels.csv', 'sample_submission.csv']\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"**Number of samples**"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df = pd.read_csv('../input/train.csv')\nlabels_df = pd.read_csv('../input/labels.csv')\nsubmission_df = pd.read_csv('../input/sample_submission.csv')\nprint(\"Train data shape -  rows:\",train_df.shape[0],\" columns:\", train_df.shape[1])\nprint(\"Lables shape -      rows:\",labels_df.shape[0],\" columns:\", labels_df.shape[1])\nprint(\"submission csv shape -  rows:\",submission_df.shape[0],\" columns:\", submission_df.shape[1])","execution_count":93,"outputs":[{"output_type":"stream","text":"Train data shape -  rows: 109237  columns: 2\nLables shape -      rows: 1103  columns: 2\nsubmission csv shape -  rows: 7443  columns: 2\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"训练集共有109237张训练图片，测试集共有7443张训练图片，全部共有1103种标签"},{"metadata":{},"cell_type":"markdown","source":"Most frequent attributes"},{"metadata":{"trusted":true},"cell_type":"code","source":"attribute_ids=train_df['attribute_ids'].values\nattribute_ids","execution_count":94,"outputs":[{"output_type":"execute_result","execution_count":94,"data":{"text/plain":"array(['147 616 813', '51 616 734 813', '776', ..., '156 763', '121 433',\n       '462 733 813 1020'], dtype=object)"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"将多标签变为单标签列表"},{"metadata":{"trusted":true},"cell_type":"code","source":"attribute_ids=train_df['attribute_ids'].values\nattributes=[]\nfor attribute_items in [x.split(' ') for x in attribute_ids]:\n        for attribute in attribute_items:\n            attributes.append(int(attribute))\nattributes[0:10]","execution_count":95,"outputs":[{"output_type":"execute_result","execution_count":95,"data":{"text/plain":"[147, 616, 813, 51, 616, 734, 813, 776, 51, 671]"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"id与标签对应"},{"metadata":{"trusted":true},"cell_type":"code","source":"att_df=pd.DataFrame(attributes,columns=['attribute_id'])\natt_df=att_df.merge(labels_df)\natt_df.head(5)\n","execution_count":96,"outputs":[{"output_type":"execute_result","execution_count":96,"data":{"text/plain":"   attribute_id   attribute_name\n0           147  culture::french\n1           147  culture::french\n2           147  culture::french\n3           147  culture::french\n4           147  culture::french","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>attribute_id</th>\n      <th>attribute_name</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>147</td>\n      <td>culture::french</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>147</td>\n      <td>culture::french</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>147</td>\n      <td>culture::french</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>147</td>\n      <td>culture::french</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>147</td>\n      <td>culture::french</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"frequent=att_df['attribute_name'].value_counts()[:30].to_frame()\nfrequent","execution_count":97,"outputs":[{"output_type":"execute_result","execution_count":97,"data":{"text/plain":"                               attribute_name\ntag::men                                19970\ntag::women                              14281\nculture::french                         13522\nculture::italian                        10375\nculture::american                        9151\ntag::flowers                             8419\nculture::british                         7615\nculture::japan                           7394\ntag::utilitarian objects                 6564\nculture::egyptian                        6542\ntag::portraits                           5955\ntag::trees                               5591\nculture::china                           5382\ntag::leaves                              5259\nculture::german                          5163\nculture::turkish or venice               4416\ntag::inscriptions                        3890\ntag::birds                               3692\ntag::human figures                       3665\ntag::textile fragments                   3570\nculture::islamic                         3500\ntag::mythical creatures                  3005\ntag::profiles                            2552\ntag::animals                             2548\ntag::writing systems                     2327\ntag::clothing and accessories            2180\ntag::books                               2097\ntag::landscapes                          2075\nculture::greek                           2050\ntag::bowls                               2045","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>attribute_name</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>tag::men</th>\n      <td>19970</td>\n    </tr>\n    <tr>\n      <th>tag::women</th>\n      <td>14281</td>\n    </tr>\n    <tr>\n      <th>culture::french</th>\n      <td>13522</td>\n    </tr>\n    <tr>\n      <th>culture::italian</th>\n      <td>10375</td>\n    </tr>\n    <tr>\n      <th>culture::american</th>\n      <td>9151</td>\n    </tr>\n    <tr>\n      <th>tag::flowers</th>\n      <td>8419</td>\n    </tr>\n    <tr>\n      <th>culture::british</th>\n      <td>7615</td>\n    </tr>\n    <tr>\n      <th>culture::japan</th>\n      <td>7394</td>\n    </tr>\n    <tr>\n      <th>tag::utilitarian objects</th>\n      <td>6564</td>\n    </tr>\n    <tr>\n      <th>culture::egyptian</th>\n      <td>6542</td>\n    </tr>\n    <tr>\n      <th>tag::portraits</th>\n      <td>5955</td>\n    </tr>\n    <tr>\n      <th>tag::trees</th>\n      <td>5591</td>\n    </tr>\n    <tr>\n      <th>culture::china</th>\n      <td>5382</td>\n    </tr>\n    <tr>\n      <th>tag::leaves</th>\n      <td>5259</td>\n    </tr>\n    <tr>\n      <th>culture::german</th>\n      <td>5163</td>\n    </tr>\n    <tr>\n      <th>culture::turkish or venice</th>\n      <td>4416</td>\n    </tr>\n    <tr>\n      <th>tag::inscriptions</th>\n      <td>3890</td>\n    </tr>\n    <tr>\n      <th>tag::birds</th>\n      <td>3692</td>\n    </tr>\n    <tr>\n      <th>tag::human figures</th>\n      <td>3665</td>\n    </tr>\n    <tr>\n      <th>tag::textile fragments</th>\n      <td>3570</td>\n    </tr>\n    <tr>\n      <th>culture::islamic</th>\n      <td>3500</td>\n    </tr>\n    <tr>\n      <th>tag::mythical creatures</th>\n      <td>3005</td>\n    </tr>\n    <tr>\n      <th>tag::profiles</th>\n      <td>2552</td>\n    </tr>\n    <tr>\n      <th>tag::animals</th>\n      <td>2548</td>\n    </tr>\n    <tr>\n      <th>tag::writing systems</th>\n      <td>2327</td>\n    </tr>\n    <tr>\n      <th>tag::clothing and accessories</th>\n      <td>2180</td>\n    </tr>\n    <tr>\n      <th>tag::books</th>\n      <td>2097</td>\n    </tr>\n    <tr>\n      <th>tag::landscapes</th>\n      <td>2075</td>\n    </tr>\n    <tr>\n      <th>culture::greek</th>\n      <td>2050</td>\n    </tr>\n    <tr>\n      <th>tag::bowls</th>\n      <td>2045</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(8,8))\nmost=sns.barplot(x=frequent.index,y=\"attribute_name\",data=frequent, palette=\"rocket\")\nmost.set_xlabel(\"Kind of label\",fontsize=14)\nmost.set_ylabel(\"Count\",fontsize=14)\nsns.despine()\nmost.set_xticklabels(most.get_xticklabels(), rotation=90,fontsize=14)\nplt.title(\"Most frequent attributes\",fontsize=18)\nplt.show()","execution_count":98,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 576x576 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"infrequent=att_df['attribute_name'].value_counts(ascending=True)[:50].to_frame()\n\nplt.figure(figsize=(12,8))\ninmost=sns.barplot(x=infrequent.index,y=\"attribute_name\",data=infrequent, palette=\"rocket\")\ninmost.set_xlabel(\"Kind of label\",fontsize=14)\ninmost.set_ylabel(\"Count\",fontsize=14)\nsns.despine()\ninmost.set_xticklabels(most.get_xticklabels(), rotation=90,fontsize=14)\nplt.title(\"Most infrequent attributes\",fontsize=18)\nplt.show()","execution_count":99,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 864x576 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df['Number of Tags']=train_df['attribute_ids'].apply(lambda x: len(x.split(' ')))\ntrain_df.head(5)","execution_count":100,"outputs":[{"output_type":"execute_result","execution_count":100,"data":{"text/plain":"                 id        attribute_ids  Number of Tags\n0  1000483014d91860          147 616 813               3\n1  1000fe2e667721fe       51 616 734 813               4\n2  1001614cb89646ee                  776               1\n3  10041eb49b297c08  51 671 698 813 1092               5\n4  100501c227f8beea  13 404 492 903 1093               5","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>id</th>\n      <th>attribute_ids</th>\n      <th>Number of Tags</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000483014d91860</td>\n      <td>147 616 813</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000fe2e667721fe</td>\n      <td>51 616 734 813</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1001614cb89646ee</td>\n      <td>776</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>10041eb49b297c08</td>\n      <td>51 671 698 813 1092</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>100501c227f8beea</td>\n      <td>13 404 492 903 1093</td>\n      <td>5</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"f, ax = plt.subplots(figsize=(6, 6))\nax=sns.countplot(x=\"Number of Tags\",data=train_df,palette=\"GnBu_d\")\nax.set_xlabel(\"Number of Tags\",fontsize=14)\nax.set_ylabel(\"Count\",fontsize=14)\nsns.despine()\nplt.title(\"Number of Tags distribution\",fontsize=18)\nplt.show()\n","execution_count":101,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x432 with 1 Axes>","image/png":"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'71fe15a7b5556e99.png',\n '78bf52a15bb7263b.png',\n '686181199d9f456c.png',\n '63a46338abbd13d.png']"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"width = []\nheight = []\nfor img_name in os.listdir(\"../input/train/\")[-3000:]:\n    shape = cv2.imread(\"../input/train/%s\" % img_name).shape\n    height.append(shape[0])\n    width.append(shape[1])\nsize = pd.DataFrame({'height':height, 'width':width})\nsns.jointplot(\"height\", \"width\", size, kind='reg')  \nplt.show()","execution_count":103,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x432 with 3 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"width=[]\nheight=[]\nfor img_name in os.listdir(\"../input/train\")[:3000]:\n    img = cv2.imread(\"../input/train/%s\" % img_name)\n    width.append(img.shape[0])\n    height.append(img.shape[1])\nprint(width[:5])\nprint(height[:5])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"size_df = pd.DataFrame({'width':width,'height':height})","execution_count":118,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"size_df.head(5)","execution_count":119,"outputs":[{"output_type":"execute_result","execution_count":119,"data":{"text/plain":"   width  height\n0    300     361\n1    300     352\n2    309     300\n3    445     300\n4    355     300","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>width</th>\n      <th>height</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>300</td>\n      <td>361</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>300</td>\n      <td>352</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>309</td>\n      <td>300</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>445</td>\n      <td>300</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>355</td>\n      <td>300</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(size_df.count())","execution_count":120,"outputs":[{"output_type":"stream","text":"width     109237\nheight    109237\ndtype: int64\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"sns.lmplot('width','height',size_df, fit_reg=False) \nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print('The average width is '+str(np.mean(size_df.width)))\nprint('The median width is '+str(np.median(size_df.width)))\nprint('The average height is '+str(np.mean(size_df.height)))\nprint('The average height is '+str(np.mean(size_df.height)))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Pictures with most frequents"},{"metadata":{"trusted":true},"cell_type":"code","source":"most_fre=train_df[train_df['Number of Tags']>9]\nleast_fre=train_df[train_df['Number of Tags']<2]\nmost_fre\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"count=1\nplt.figure(figsize=[30,20])\nfor img_name in most_fre['id'].values[:6]:\n    img = cv2.imread(\"../input/train/%s.png\" % img_name)\n    plt.subplot(2, 3, count)\n    plt.imshow(img)\n    count+=1\nplt.show()\n    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Pictures with least attributes"},{"metadata":{"trusted":true},"cell_type":"code","source":"count = 1\nplt.figure(figsize=[30,20])\nfor img_name in least_fre['id'].values[:6]:\n    img = cv2.imread(\"../input/train/%s.png\" % img_name)\n    plt.subplot(2, 3, count)\n    plt.imshow(img)\n    count += 1\nplt.show","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df.head(3)\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"raw","source":"多标签问题，其中标签序号对应实际意义在lables.csv文件"},{"metadata":{"trusted":true},"cell_type":"code","source":"labels_df.head(3)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"lables是将attribute_id进行编号来对应name"},{"metadata":{"trusted":true},"cell_type":"code","source":"submission_df.head(3)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"missing = train_df.isnull().sum()\nall_val = train_df.count()\nprint(missing)\nprint(all_val)\nmissing_train_df = pd.concat([missing, all_val], axis=1, keys=['Missing', 'All'])\nmissing_train_df","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"训练数据中无任何缺失值"},{"metadata":{"trusted":true},"cell_type":"code","source":"image_names=sorted(os.listdir(\"../input/train\"))\nprint(image_names[0])\nprint(image_names[1])\nprint(image_names[2])\nprint(image_names[3])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_img=cv2.imread(\"../input/train/1000483014d91860.png\")\nplt.imshow(train_img)\nplt.axis('off')\ntrain_img.shape","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"其中第一张图片大小300*339 3个颜色通道,下面提取数据。\n提图像路径与其对应的标签一一对应且元组化，使用Numpy对其进行序列化。"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_dataset_info = []\nfor name, labels in zip(train_df['id'],train_df['attribute_ids'].str.split(' ')):\n    train_dataset_info.append({\n         'path':os.path.join('../input/train', name),\n        'labels':np.array([int(label) for label in labels])})\ntrain_dataset_info = np.array(train_dataset_info)\ntrain_dataset_info","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"\nlen(train_dataset_info)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"first=train_df['attribute_ids'].str.split(' ')\ntrain_df['first'] = first\ntrain_df.head(10)\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"记录一下单标签统计方法"},{"metadata":{"trusted":true},"cell_type":"code","source":"th10 = pd.DataFrame(train_df.attribute_ids.value_counts().head(10))\nth10.reset_index(level=0, inplace=True)\nth10.columns = ['attribute_ids','count']\nth10","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}