{"id":50759,"date":"2021-08-26T00:00:00","date_gmt":"2021-08-26T07:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/create-interactive-dashboard-with-streamlit-python-and-griddb\/"},"modified":"2025-11-14T07:54:51","modified_gmt":"2025-11-14T15:54:51","slug":"create-interactive-dashboard-with-streamlit-python-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/create-interactive-dashboard-with-streamlit-python-and-griddb\/","title":{"rendered":"Streamlit\u3001Python\u3001GridDB\u3092\u4f7f\u3063\u3066\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u3092\u4f5c\u6210\u3059\u308b"},"content":{"rendered":"

\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u6982\u8981<\/h2>\n

\u306f\u3058\u3081\u306b<\/h3>\n

\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001GridDB\u3068Streamlit\u3092\u4f7f\u3063\u3066\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n

GridDB\u306b\u53d6\u308a\u8fbc\u307e\u308c\u305f\u904e\u53bb\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e<\/a>\u30c7\u30fc\u30bf\u3092\u57fa\u306b\u3001Streamlit<\/a>\u3092\u4f7f\u3063\u3066\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u5e02\u306e\u72af\u7f6a\u306e\u82e6\u60c5\u3092\u8996\u899a\u5316\u3057\u307e\u3059\u3002Streamlit\u3067\u306f\u3001\u5165\u529b\u3084\u51fa\u529b\u306b\u4f7f\u3048\u308b\u69d8\u3005\u306a\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u3001\u3069\u3093\u306a\u7a2e\u985e\u306e\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u3067\u3082\u7d20\u65e9\u304f\u7c21\u5358\u306b\u958b\u767a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001\u5165\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3092\u4f7f\u3063\u3066GridDB\u306eTQL\u30af\u30a8\u30ea\u6587\u5b57\u5217\u3092\u69cb\u7bc9\u3057\u3001\u30c1\u30e3\u30fc\u30c8\u51fa\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u8fd4\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u8868\u793a\u3057\u307e\u3059\u3002<\/p>\n

\"\"<\/a><\/p>\n

\u8981\u4ef6<\/h3>\n

\u4eca\u56de\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001Streamlit<\/a>\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3001Python\u30af\u30e9\u30a4\u30a2\u30f3\u30c8<\/a>\u3068\u4e00\u7dd2\u306bGridDB\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

\u307e\u305f\u3001\u4eca\u56de\u4f7f\u3046\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u5e02\u306e\u72af\u7f6a\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u3092DB\u306b\u633f\u5165\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u524d\u306e\u30d6\u30ed\u30b0GridDB\u3092\u4f7f\u7528\u3057\u305f\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u306e\u72af\u7f6a\u30c7\u30fc\u30bf\u306e\u5730\u7406\u7a7a\u9593\u5206\u6790<\/a>\u3067\u8a73\u3057\u304f\u7d39\u4ecb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u8a2d\u5b9a<\/h2>\n

GridDB\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b<\/h3>\n

GridDB\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

Streamlit\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b<\/h3>\n

Installing Streamlit is done via pip<\/p>\n

pip3 install streamlit --user<\/code><\/p>\n

Note:<\/code> pip\u3067\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306b\u554f\u984c\u304c\u3042\u308b\u5834\u5408\u306f\u3001pip\u304c\u6700\u65b0\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3067\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u8fbc\u3080<\/h3>\n

\u307e\u305a\u6700\u521d\u306b\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\uff08CSV\u5f62\u5f0f\uff09\u3092GridDB\u30b5\u30fc\u30d0\u306b\u8aad\u307f\u8fbc\u307f\u307e\u3059\u3002CSV\u304b\u3089\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u76f4\u63a5\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3080\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u304c\u3001GridDB\u306ehybrid in-memory\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u3088\u308a\u3001\u5148\u306b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u8aad\u307f\u8fbc\u3080\u3053\u3068\u3067\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u901f\u5ea6\u304c\u5927\u5e45\u306b\u5411\u4e0a\u3057\u307e\u3059\u3002\u3055\u3089\u306b\u30017m\u884c\u3059\u3079\u3066\u3092\u8aad\u307f\u8fbc\u3080\u306e\u3067\u306f\u306a\u304f\u3001\u95a2\u9023\u3059\u308b\u30c7\u30fc\u30bf\u306e\u307f\u3092\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u8aad\u307f\u8fbc\u3080\u305f\u3081\u3001\u30af\u30a8\u30ea\u306e\u30b9\u30d4\u30fc\u30c9\u3082\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\n

\u305d\u3053\u3067\u3001NYC\u306e\u30c7\u30fc\u30bf\u3092\u81ea\u5206\u306eDB\u306b\u53d6\u308a\u8fbc\u3080\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f7f\u3044\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306fNYC Open Data<\/a>\u304b\u3089\u53d6\u5f97\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u8fbc\u3080\u306b\u306f\u3001 CSVParser<\/code> \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n

\n
 Iterable records = CSVFormat.RFC4180.withFirstRecordAsHeader().parse(in);\n   for (CSVRecord record : records) {\n        Complaint c = parseCsvRecord(record);\n        if(c != null)\n            col.put(c);\n   }\n   col.commit();<\/code><\/pre>\n<\/div>\n
\u8a73\u3057\u3044\u8aac\u660e\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u524d\u306e\u3053\u3061\u3089<\/a>\u306e\u30d6\u30ed\u30b0\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u57fa\u672c\u7684\u306a\u6d41\u308c\u3068\u3057\u3066\u306f\u3001\u3053\u3061\u3089<\/a>\u304b\u3089\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3001\u81ea\u5206\u306eCLASSPATH<\/code>\u306bgriddb.jar\u3068CSV parse jar\u306e\u4e21\u65b9\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\u305d\u3053\u304b\u3089Ingest.java\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u3066\u3001\u540c\u3058\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u3042\u308brows.csv<\/code>\u3068\u3044\u3046\u540d\u524d\u306e\u30c7\u30fc\u30bf\u3067Java\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\u3059\u308b\u3068\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u5b9f\u884c\u3055\u308c\u3001\u30c7\u30fc\u30bf\u304cGridDB\u30b5\u30fc\u30d0\u306b\u53d6\u308a\u8fbc\u307e\u308c\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u65e9\u304f\u6e08\u307e\u305b\u305f\u3044\u65b9\u306f\u3001700\u4e07\u884c\u3059\u3079\u3066\u304cDB\u306b\u53d6\u308a\u8fbc\u307e\u308c\u308b\u306e\u3092\u5f85\u3064\u5fc5\u8981\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u30c6\u30b9\u30c8\u306e\u305f\u3081\u306b\u306f\u30015\u4e07\u884c\u7a0b\u5ea6\u3092\u53d6\u308a\u8fbc\u3080\u3060\u3051\u3067\u3082\u3088\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n
GridDB\u30b5\u30fc\u30d0\u30fc\u306b\u30c7\u30fc\u30bf\u304c\u5165\u308a\u3001Streamlit\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u305f\u306e\u3067\u3001\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u672c\u984c\u306b\u5165\u308b\u6e96\u5099\u304c\u6574\u3044\u307e\u3057\u305f\u3002<\/p>\n
\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9<\/h2>\n
GridDB\u30b5\u30fc\u30d0\u306b\u63a5\u7d9a\u3059\u308b<\/h3>\n
\u307e\u305a\u3001Python\u30b3\u30fc\u30c9\u3092GridDB\u30b5\u30fc\u30d0\u30fc\u306b\u63a5\u7d9a\u3057\u307e\u3059\u3002\u6b21\u306e\u30b9\u30cb\u30da\u30c3\u30c8\u306f\u3001\u4f7f\u7528\u3057\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u63a5\u7d9a\u306e\u8a73\u7d30\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\n
#!\/usr\/bin\/python3\nimport pandas as pd\nimport streamlit as st\nimport griddb_python\nimport datetime\nimport traceback\n\ngriddb = griddb_python\nfactory = griddb.StoreFactory.get_instance()\n\ngridstore = factory.get_store(\n    host=\"239.0.0.1\",\n    port=31999,\n    cluster_name=\"defaultCluster\",\n    username=\"admin\",\n    password=\"admin\"\n)<\/code><\/pre>\n<\/div>\n
GridDB\u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u63a5\u7d9a\u6587\u5b57\u5217\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u307e\u305f\u3001\u512a\u308c\u305f\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30c4\u30fc\u30eb\u3067\u3042\u308bpandas\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002Pandas\u3067\u306eGridDB\u306e\u4f7f\u7528\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u306e\u30d6\u30ed\u30b0GridDB\u4e0a\u3067Pandas\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f7f\u7528\u3059\u308b<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u8907\u6570\u306e\u30b3\u30f3\u30c6\u30ca\u3092\u6271\u3046<\/h3>\n
\u6b21\u306b\u3001\u95a2\u9023\u3059\u308b\u30c7\u30fc\u30bf\u3092\u7167\u4f1a\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u8907\u6570\u306e\u30b3\u30f3\u30c6\u30ca\u306b\u4fdd\u5b58\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3001\u30a2\u30d7\u30ea\u306f1\u3064\u3001\u8907\u6570\u3001\u307e\u305f\u306f\u3059\u3079\u3066\u306e\u30b3\u30f3\u30c6\u30ca\u3092\u7167\u4f1a\u3067\u304d\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305a\u6700\u521d\u306b\u3001\u3059\u3079\u3066\u306e\u30b3\u30f3\u30c6\u30ca\u3078\u306e\u30a2\u30af\u30bb\u30b9\u304c\u5fc5\u8981\u306a\u306e\u3067\u3001\u8f9e\u66f8\u3092\u958b\u304d\u3001\u4fdd\u5b58\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u8f9e\u66f8\u306b’all’\u30de\u30c3\u30d4\u30f3\u30b0\u3092\u4f5c\u6210\u3057\u3001\u958b\u3044\u305f\u3059\u3079\u3066\u306e\u30b3\u30f3\u30c6\u30ca\u306e\u30ea\u30b9\u30c8\u3092\u683c\u7d0d\u3059\u308b\u3053\u3068\u3067\u3001\u3059\u3079\u3066\u306e\u533a\u9593\u306b\u554f\u3044\u5408\u308f\u305b\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\n
cols = {}\nfor x in range(1, 125):\n    col = gridstore.get_container(\"precinct_\"+str(x))\n    if col != None:\n        cols[x] = [col]\n\ncols['all'] = (e[0] for e in cols.values())<\/code><\/pre>\n<\/div>\n
\u6700\u5f8c\u306b\u3001Streamlit\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3067\u9078\u629e\u3055\u308c\u305f\u533a\u9593\u3092\u7e70\u308a\u8fd4\u3057\u691c\u7d22\u3057\u307e\u3059\u3002\u901a\u5e38\u306f1\u3064\u306e\u533a\u9593\u3057\u304b\u3042\u308a\u307e\u305b\u3093\u304c\u3001’all’,\u306e\u5834\u5408\u306f\u3059\u3079\u3066\u306e\u533a\u9593\u304c\u7167\u4f1a\u3055\u308c\u307e\u3059\u3002\u7c21\u7565\u5316\u306e\u305f\u3081\u3001Multiquery<\/a>\u306f\u4f7f\u7528\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n
\n
df=pd.DataFrame()\nfor col in cols[precinct]:\n    try:\n        q = col.query(tql)\n        rs = q.fetch(False)\n        df = df.append(rs.fetch_rows())\n    except:\n        pass\n<\/code><\/pre>\n<\/div>\n
\u5165\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8<\/h2>\n
Streamlit\u306b\u306f\u3001\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306b\u8ffd\u52a0\u3067\u304d\u308b\u69d8\u3005\u306a\u5165\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u304c\u3042\u308a\u3001\u305d\u306e\u4e00\u89a7\u306fAPI Reference<\/a>\u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30ab\u30ec\u30f3\u30c0\u30fc<\/h3>\n
streamlit\u306edate_input\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3067\u306f\u3001\u30e6\u30fc\u30b6\u304c\u958b\u59cb\u65e5\u3068\u7d42\u4e86\u65e5\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u65e5\u4ed8\u306f\u3001datetime.date<\/code>\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30bf\u30d7\u30eb\u3068\u3057\u3066\u8fd4\u3055\u308c\u307e\u3059\u304c\u3001\u3053\u308c\u306f\u307e\u305a\u3001datetime.datetime.combine()<\/code>\u3092\u4f7f\u3063\u3066datetime.datetime<\/code>\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5909\u63db\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\n
date_range = st.date_input(\"Period\", [datetime.date(2010, 1,1), datetime.date(2020, 12, 31) ])\nstart = datetime.datetime.combine(date_range[0], datetime.datetime.min.time())\nend = datetime.datetime.combine(date_range[1], datetime.datetime.min.time())<\/code><\/pre>\n<\/div>\n
\u305d\u306e\u5f8c\u3001datetime.datetime<\/code>\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092int(datetime.datetime.timestamp()\u00ac*1000)<\/code>\u3067\u30df\u30ea\u79d2\u5358\u4f4d\u306e\u30a8\u30dd\u30c3\u30af\u306b\u5909\u63db\u3057\u3001TQL\u30af\u30a8\u30ea\u3067\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
tql = \"select * where CMPLNT_FR > TO_TIMESTAMP_MS(\"+str(int(start.timestamp()*1000))+\") AND CMPLNT_FR < TO_TIMESTAMP_MS(\"+str(int(end.timestamp()*1000))+\")\"<\/code><\/pre>\n<\/div>\n
\u30b9\u30e9\u30a4\u30c0\u30fc\u3001\u30e9\u30b8\u30aa\u30dc\u30bf\u30f3\u3001\u30bb\u30ec\u30af\u30c8\u30dc\u30c3\u30af\u30b9<\/h3>\n
Streamlit\u306e\u4ed6\u306e\u5165\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u306f\u975e\u5e38\u306b\u30b7\u30f3\u30d7\u30eb\u3067\u3001\u305d\u308c\u305e\u308c\u304c\u5165\u529b\u5019\u88dc\u306e\u30ea\u30b9\u30c8\u3092\u53d7\u3051\u53d6\u308a\u3001\u9078\u629e\u3055\u308c\u305f\u9805\u76ee\u3092\u8fd4\u3057\u307e\u3059\u3002<\/p>\n
\n
precinct = st.select_slider(\"Precinct\", list(cols.keys()), value='all' )\nbr_name = st.selectbox(\"Borough\", [\"ALL\", \"MANHATTAN\", \"QUEENS\", \"BRONX\" , \"BROOKLYN\", \"STATEN ISLAND\" ])\nctype = st.radio(\"Type\", [\"ALL\", \"VIOLATION\", \"MISDEMEANOR\" , \"FELONY\" ])<\/code><\/pre>\n<\/div>\n
\u3053\u308c\u3089\u306e\u51fa\u529b\u306f\u3001TQL\u6587\u3067\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
if br_name != \"ALL\":\n    tql = tql + \" AND BORO_NM = '\"+br_name+\"'\"\n\nif ctype != \"ALL\":\n    tql = tql + \" AND LAW_CAT_CD = '\"+ctype+\"'\"<\/code><\/pre>\n<\/div>\n
\u51fa\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8<\/h2>\n
\u4eca\u56de\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u4f7f\u7528\u3059\u308b\u68d2\u30b0\u30e9\u30d5\u3001\u30c6\u30ad\u30b9\u30c8\u3001\u5730\u56f3\u306a\u3069\u3001\u3044\u304f\u3064\u304b\u306e\u7570\u306a\u308b\u51fa\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30bf\u30a4\u30c8\u30eb\u3068\u30c6\u30ad\u30b9\u30c8<\/h3>\n
\u30c7\u30fc\u30bf\u3092\u8868\u793a\u3059\u308b\u524d\u306b\u3001\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u5168\u4f53\u306e\u4e00\u4f53\u611f\u3092\u51fa\u3059\u305f\u3081\u306b\u3001\u30bf\u30a4\u30c8\u30eb\u3084\u88dc\u52a9\u30c6\u30ad\u30b9\u30c8\u3092\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001st.title<\/code>\u3092\u4f7f\u3063\u3066\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306e\u30bf\u30a4\u30c8\u30eb\u3092\u8868\u793a\u3059\u3057\u305f\u308a\u3001st.write<\/code>\u3092\u4f7f\u3063\u3066\u30c6\u30ad\u30b9\u30c8\u3092\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u3053\u3053\u3067\u306f\u3001\u3059\u3079\u3066\u306e\u5165\u529b\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u306e\u524d\u306b\u3001\u30bf\u30a4\u30c8\u30eb\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n
st.title('NYC Crime Complaint Data')<\/code><\/p>\n
\u3053\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u76ee\u7684\u3092\u7c21\u5358\u306b\u8aac\u660e\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
st.write<\/code>\u3000\uff08\u8868\u793a\u3055\u305b\u305f\u3044\u72af\u7f6a\u30c7\u30fc\u30bf\u306e\u60c5\u5831\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u5b8c\u4e86\u3059\u308b\u3068\u3001\u4e0b\u90e8\u306b\u68d2\u30b0\u30e9\u30d5\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002\uff09<\/p>\n
\u5730\u56f3<\/h3>\n
\u30c7\u30fc\u30bf\u306e\u5730\u56f3\u3092\u8868\u793a\u3059\u308b\u306b\u306f\u3001pydeck<\/a>\u306e\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\n
if precinct != \"all\":\n    df = df.rename(columns={'Latitude': 'lat', 'Longitude': 'lon'})\n    st.pydeck_chart(pdk.Deck(\n         map_style='mapbox:\/\/styles\/mapbox\/light-v9',\n         initial_view_state=pdk.ViewState(\n             latitude=40.76,\n             longitude=-73.93,\n             zoom=10,\n             pitch=50,\n         ),\n         layers=[\n             pdk.Layer(\n                'HexagonLayer',\n                data=df,\n                get_position='[lon, lat]',\n                radius=100,\n                get_elevation=500,\n                elevation_scale=4,\n                elevation_range=[0, 1000],\n                pickable=True,\n                extruded=True,\n             ),\n             pdk.Layer(\n                 'ScatterplotLayer',\n                 data=df,\n                 get_position='[lon, lat]',\n                 get_color='[200, 30, 0, 160]',\n                 get_radius=100,\n             ),\n         ],\n    ))\nelse:\n    print(\"Can only draw maps for single precincts\")<\/code><\/pre>\n<\/div>\n
\u307e\u305a\u59cb\u3081\u306b\u3001\u30ec\u30f3\u30c0\u30ea\u30f3\u30b0\u3059\u308b\u30c7\u30fc\u30bf\u3092\u3001\u300c\u5168\u533a\u9593\u300d\u3088\u308a\u3082\u5c0f\u3055\u3044\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u307f\u306b\u9650\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u3092\u63cf\u753b\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u3001\u30b9\u30af\u30ea\u30d7\u30c8\u5168\u4f53\u306b\u8ca0\u62c5\u304c\u304b\u304b\u308b\u305f\u3081\u3067\u3059\u3002\u305d\u306e\u5f8c\u306f\u3001\u3059\u3067\u306b\u8a2d\u5b9a\u3057\u3066\u3042\u308b\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3084\u305d\u306e\u4ed6\u306e\u30aa\u30d7\u30b7\u30e7\u30f3\u3092\u5165\u529b\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u3067\u3001\u7279\u5b9a\u306e\u533a\u9593\u3092\u9078\u629e\u3059\u308b\u3068\u3001\u304d\u308c\u3044\u306a\u5730\u56f3\u304c\u8868\u793a\u3055\u308c\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n
\"\"<\/a><\/p>\n
\u68d2\u30b0\u30e9\u30d5<\/h3>\n
bucket_size<\/code>\u306e\u6642\u9593\u306b\u304a\u3051\u308b\u72af\u7f6a\u306e\u82e6\u60c5\u306e\u4ef6\u6570\u3092\u52b9\u679c\u7684\u306b\u8868\u793a\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u30c7\u30fc\u30bf\u3092\u30d0\u30b1\u30c3\u30c8\u5316\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u524d\u306b\u3001\u307e\u305a\u4f7f\u7528\u3059\u308b\u30d0\u30b1\u30c3\u30c8\u306e\u6570\u3092\u6c7a\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u3053\u308c\u306f\u6642\u9593 bucket_size<\/code> \u306b\u4f9d\u5b58\u3057\u307e\u3059\u3002\u3082\u3057bucket_size<\/code>\u304c\u6570\u9031\u9593\u3067\u3042\u308c\u3070\u3001\u6708\u5358\u4f4d\u306e\u30d0\u30b1\u30c3\u30c8\u3092\u4f7f\u3046\u306e\u306f\u610f\u5473\u304c\u3042\u308a\u307e\u305b\u3093\u3057\u3001\u305d\u306e\u9006\u3082\u3057\u304b\u308a\u3067\u3059\u3002\u307e\u305f\u3001bucket_size<\/code>\u304c\u6570\u5e74\u3067\u3042\u308c\u3070\u3001\u65e5\u5358\u4f4d\u3084\u9031\u5358\u4f4d\u306e\u30d0\u30b1\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u3082\u30c7\u30fc\u30bf\u3092\u3046\u307e\u304f\u8996\u899a\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093\u3002<\/p>\n
\n
bucket_size='Y'\nif delta.days < 800:\n    bucket_size = 'M'\nelif delta.days < 90:\n    bucket_size = 'D'\n<\/code><\/pre>\n<\/div>\n
\u3053\u308c\u3067\u3001CMPLNT_FR<\/code>\u5217\u3092Pandas Datetime<\/code>\u306b\u5909\u63db\u3057\u3066\u3001\u30c7\u30fc\u30bf\u3092\u30d0\u30b1\u30c3\u30c8\u3084\u30b0\u30eb\u30fc\u30d7\u306b\u5165\u308c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n
\n
df['CMPLNT_FR'] = pd.to_datetime(df['CMPLNT_FR'])\ndf = df.groupby([pd.Grouper(key='CMPLNT_FR',freq=bucket_size)]).size().reset_index(name='count')<\/code><\/pre>\n<\/div>\n
\u68d2\u30b0\u30e9\u30d5\u306e\u8868\u793a\u306f\u3001\u30b7\u30f3\u30d7\u30eb\u306a\u30ef\u30f3\u30e9\u30a4\u30ca\u30fc\u306b\u3057\u307e\u3059\u3002<\/p>\n
\n
st.bar_chart(data=df)<\/code><\/pre>\n<\/div>\n
\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3059\u308b<\/h3>\n
\u3059\u3079\u3066\u306e\u8a2d\u5b9a\u304c\u5b8c\u4e86\u3057\u305f\u3089\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n
streamlit run app.py<\/code><\/p>\n
\u305d\u3057\u3066\u3001\u8868\u793a\u3055\u308c\u305f\u5916\u90e8URL\u306b\u5f93\u3046\u3068\u3001\u304d\u308c\u3044\u306a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30fb\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u3092\u30d6\u30e9\u30a6\u30b6\u3067\u898b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u307e\u3068\u3081<\/h2>\n
\u4f5c\u6210\u3055\u308c\u308b\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306e\u54c1\u8cea\u3068\u5fc5\u8981\u306a\u30b3\u30fc\u30c9\u91cf\u3092\u8003\u616e\u3059\u308b\u3068\u3001Streamlit\u306f\u30c7\u30fc\u30bf\u30c9\u30ea\u30d6\u30f3\u306a\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u3092\u4fe1\u3058\u3089\u308c\u306a\u3044\u307b\u3069\u8fc5\u901f\u304b\u3064\u7c21\u5358\u306b\u958b\u767a\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3057\u305f\u3002GridDB\u306e\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u958b\u767a\u62c5\u5f53\u8005\u306f\u591a\u984d\u306e\u6295\u8cc7\u3084\u6642\u9593\u3092\u304b\u3051\u305a\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8996\u899a\u5316\u3057\u3001\u6d1e\u5bdf\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u4eca\u56de\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u4f7f\u7528\u3057\u305f\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3001GridDB.net\u306eGitHub\u30a2\u30ab\u30a6\u30f3\u30c8\u3053\u3061\u3089<\/a>\u306b\u63b2\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u6700\u5f8c\u306b\u3001\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u5168\u4f53\u306e\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8\u306f\u3053\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n
\"\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u6982\u8981 \u306f\u3058\u3081\u306b \u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001GridDB\u3068Streamlit\u3092\u4f7f\u3063\u3066\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002 GridDB\u306b\u53d6\u308a\u8fbc\u307e\u308c\u305f\u904e\u53bb\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30c7 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