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ArcPy でのフィーチャデータの利用

ShinjiKATAYA1

はじめに：

先月の3/5 ～ 3/8 に米国で行われた「Esri Developer Summit 2019 」のテクニカルセッション 242本分の動画が、先々週から公開が始まっています（ Esri 2019 Developer Summit Tech Sessions ）。その中の一部のものは、スライドやデモで利用しているコードがGitHub 上で公開されており、開発する際のヒントになるかと思います。

今回の記事では、「Python Working with Feature Data」のタイトルで発表されていたセッションの内容を、スライドに沿う形で紹介していきます。ArcPy でのフィーチャデータ, テーブルの操作に関する内容がコンパクトにまとまっていますので、ArcPy でデータを操作したい方は必見の内容かと思います。

※この記事の見出しは、スライドのタイトルに対応しています。また、コードリーディングを重視して、原文のままにしているものもありますので、ご了承ください。

スライド：

Cursors

Cursors はレコード単位、フィーチャ単位でのアクセスを提供
- さまざまなワークフローで基本的には必要

SearchCursor | 読み取り専用のアクセスに利用

UpdateCursor | 行の更新、もしくは削除に利用

InsertCursor | 行の挿入に利用

2つの実装がある
- arcpy.da cursors と "Classic" cursors
- どっちを使う？昔作ったコードを持っていない限り、arcpy.da cursors を使うのを推奨

Table basics

※スライドのセル色の説明

黄色セル：行
緑色セル：列
水色セル：Geometry は Shape 列に格納されている（例ではPoint 型のジオメトリ）

Cursors

arcpy.da cursors は lists や tuples を使用
- Row values には index を使ってアクセス可能

fields <SPAN class="operator token">=</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="string token">'field1'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'field2'</SPAN><SPAN class="punctuation token">]</SPAN>
cursor <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>InsertCursor<SPAN class="punctuation token">(</SPAN>table<SPAN class="punctuation token">,</SPAN> fields<SPAN class="punctuation token">)</SPAN>
cursor<SPAN class="punctuation token">.</SPAN>insertRow<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="number token">1</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">10</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

”Classic” cursors
- 10.1 より前の scripts　の例
- Row objects を利用
- Row values はsetValue, getValue を使って操作

cursor <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>InsertCursor<SPAN class="punctuation token">(</SPAN>table<SPAN class="punctuation token">)</SPAN>
row <SPAN class="operator token">=</SPAN> cursor<SPAN class="punctuation token">.</SPAN>newRow<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>
row<SPAN class="punctuation token">.</SPAN>setValue<SPAN class="punctuation token">(</SPAN><SPAN class="string token">"field1"</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">1</SPAN><SPAN class="punctuation token">)</SPAN>
row<SPAN class="punctuation token">.</SPAN>setValue<SPAN class="punctuation token">(</SPAN><SPAN class="string token">"field2"</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">10</SPAN><SPAN class="punctuation token">)</SPAN>
cursor<SPAN class="punctuation token">.</SPAN>insertRow<SPAN class="punctuation token">(</SPAN>row<SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

with statemantes

arcpy.da Cusors は with statements（with構文）をサポート

<SPAN class="keyword token">with</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>SearchCursor<SPAN class="punctuation token">(</SPAN>table<SPAN class="punctuation token">,</SPAN> field<SPAN class="punctuation token">)</SPAN> <SPAN class="keyword token">as</SPAN> cursor<SPAN class="punctuation token">:</SPAN>
    <SPAN class="keyword token">for</SPAN> row <SPAN class="keyword token">in</SPAN> cursor<SPAN class="punctuation token">:</SPAN>
        <SPAN class="keyword token">print</SPAN> row<SPAN class="punctuation token">[</SPAN><SPAN class="number token">0</SPAN><SPAN class="punctuation token">]</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

with statements（with構文）
- python ではwith statements はコンテキストマネージャー
- Locks が発生するような状況でのスコープを制御
- コードが明快

Demo: Cursors

GitHub 上の「demo_1_cursor.py」のコードはこちら

More on cursors

Row values にはindex を使ってアクセス
パフォーマンスはよいが、コードの可読性は良くない

<SPAN class="keyword token">with</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>SearchCursor<SPAN class="punctuation token">(</SPAN>table<SPAN class="punctuation token">,</SPAN> fields<SPAN class="punctuation token">)</SPAN> <SPAN class="keyword token">as</SPAN> cursor<SPAN class="punctuation token">:</SPAN>
    <SPAN class="keyword token">for</SPAN> row <SPAN class="keyword token">in</SPAN> cursor<SPAN class="punctuation token">:</SPAN>
        <SPAN class="keyword token">print</SPAN><SPAN class="punctuation token">(</SPAN>row<SPAN class="punctuation token">[</SPAN><SPAN class="number token">17</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN> <SPAN class="comment token">#index 17 is RoadName field‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍</SPAN><SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

あるいは、すぐにディクショナリに変換可能

generator function で Wrap すると、name でアクセス可能

<SPAN class="keyword token">def</SPAN> <SPAN class="token function">row_as_dict</SPAN><SPAN class="punctuation token">(</SPAN>cursor<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">:</SPAN>
    <SPAN class="keyword token">for</SPAN> row <SPAN class="keyword token">in</SPAN> cursor<SPAN class="punctuation token">:</SPAN>
        <SPAN class="keyword token">yield</SPAN> dict<SPAN class="punctuation token">(</SPAN>zip<SPAN class="punctuation token">(</SPAN>cursor<SPAN class="punctuation token">.</SPAN>fields<SPAN class="punctuation token">,</SPAN> row<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
        
<SPAN class="keyword token">with</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>SearchCursor<SPAN class="punctuation token">(</SPAN>table<SPAN class="punctuation token">,</SPAN> fields<SPAN class="punctuation token">)</SPAN> <SPAN class="keyword token">as</SPAN> cursor<SPAN class="punctuation token">:</SPAN>
    <SPAN class="keyword token">for</SPAN> row <SPAN class="keyword token">in</SPAN> row_as_dict<SPAN class="punctuation token">(</SPAN>cursor<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">:</SPAN>
        <SPAN class="keyword token">print</SPAN><SPAN class="punctuation token">(</SPAN>row<SPAN class="punctuation token">[</SPAN><SPAN class="string token">'RoadName'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Fields and tokens

よいパフォーマンスのためには必要な fields を利用
- 全ての fields を "*" で指定する方法は、パフォーマンスのためには非推奨

tokens も利用可能
- これもアクセスしたい token でアクセスするのがよい

# tokens の例
'OID@'
'SHAPE@XY'
'SHAPE@TRUECENTROID'
'SHAPE@X'
'SHAPE@Y'
'SHAPE@Z'
'SHAPE@M'
'SHAPE@JSON'
'SHAPE@WKB'
'SHAPE@WKT'
'SHAPE@'
'SHAPE@AREA'
'SHAPE@LENGTH'‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Editor class

トランザクションを管理するために編集セッションと編集操作を使用する
編集は保存され永久に適用されるまで一時的なもの
変更を保存せずに編集セッションを終了可能

いつ利用する必要がある？
- トポロジー, ジオメトリネットワークのフィーチャを編集する場合
- エンタープライズジオデータベースのバージョン対応データを操作する場合
- クラスエクステンションのいくつかのオブジェクトやフィーチャクラスを操作する場合

Editor using a with statement

Editorはwith構文をサポート

適切な開始処理、停止処理、および中止の処理

<SPAN class="keyword token">with</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>Editor<SPAN class="punctuation token">(</SPAN>workspace<SPAN class="punctuation token">)</SPAN> <SPAN class="keyword token">as</SPAN> edit<SPAN class="punctuation token">:</SPAN>
    <SPAN class="comment token"># your edits‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍</SPAN><SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

※スライド上のオレンジ色の文字の説明

as edit: ← 編集セッションを開いて、編集操作を開始

# your edits のスコープで
- Exception - 操作のキャンセル, 編集セッションが保存せずに閉じられた場合
- No Exception - 操作の終了, 保存, 編集セッションを閉じる場合

Editor class

Editor class は編集セッションと操作をするためのメソッドも含まれている

<SPAN class="comment token"># Start an edit session</SPAN>
edit <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>Editor<SPAN class="punctuation token">(</SPAN>workspace<SPAN class="punctuation token">)</SPAN>
    
<SPAN class="comment token"># Edit session is started without an undo/redo stach</SPAN>
<SPAN class="comment token"># for versioned data</SPAN>
edit<SPAN class="punctuation token">.</SPAN>startEditing<SPAN class="punctuation token">(</SPAN><SPAN class="token boolean">False</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">)</SPAN>
    
<SPAN class="comment token"># Start an edit operation</SPAN>
edit<SPAN class="punctuation token">.</SPAN>startOperation<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>
    
<SPAN class="comment token"># Edits</SPAN>
    
<SPAN class="comment token"># Stop the edit operation</SPAN>
edit<SPAN class="punctuation token">.</SPAN>stopOperation<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>
    
<SPAN class="comment token"># Stop the edit session and save changes</SPAN>
edit<SPAN class="punctuation token">.</SPAN>stopEditing<SPAN class="punctuation token">(</SPAN><SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">)</SPAN>
‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

# Editor methods

startEditing ({with_undo}, {multiuser_mode})

stopEditing(save_changes)

startOperation()

stopOperation()

abortOperation()

undoOperation()

redoOperation()‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Demo: Edit sessions

GitHub 上の「demo_2_editor.py」のコードはこちら

Working with geometry

geomety オブジェクトを作成するのは少し面倒
方法はいろいろある

geometry objects

cursor <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>InsertCursor<SPAN class="punctuation token">(</SPAN>fc<SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'SHAPE@'</SPAN><SPAN class="punctuation token">)</SPAN>
line <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>Polyline<SPAN class="punctuation token">(</SPAN>arcpy<SPAN class="punctuation token">.</SPAN>Array<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN>arcpy<SPAN class="punctuation token">.</SPAN>Point<SPAN class="punctuation token">(</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>Point<SPAN class="punctuation token">(</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>SpatialReference<SPAN class="punctuation token">(</SPAN><SPAN class="number token">3857</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
cursor<SPAN class="punctuation token">.</SPAN>insertRow<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN>line<SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

esri json

cusor <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>InsertCursor<SPAN class="punctuation token">(</SPAN>fc<SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'SHAPE@JSON'</SPAN><SPAN class="punctuation token">)</SPAN>
json_line <SPAN class="operator token">=</SPAN> <SPAN class="punctuation token">{</SPAN><SPAN class="string token">"paths"</SPAN><SPAN class="punctuation token">:</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">[</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">[</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">"spatialreference"</SPAN><SPAN class="punctuation token">:</SPAN><SPAN class="punctuation token">{</SPAN><SPAN class="string token">"wkid"</SPAN><SPAN class="punctuation token">:</SPAN> <SPAN class="number token">102100</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">"latestWkid"</SPAN><SPAN class="punctuation token">:</SPAN><SPAN class="number token">3857</SPAN><SPAN class="punctuation token">}</SPAN><SPAN class="punctuation token">}</SPAN>
cursor<SPAN class="punctuation token">.</SPAN>insertRow<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN>json<SPAN class="punctuation token">.</SPAN>dumps<SPAN class="punctuation token">(</SPAN>json_line<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

list of coordinates

cursor <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>InsertCursor<SPAN class="punctuation token">(</SPAN>fc<SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'SHAPE@'</SPAN><SPAN class="punctuation token">)</SPAN>
coordinate_list <SPAN class="operator token">=</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN>
cursor<SPAN class="punctuation token">.</SPAN>insertRow<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN>coordinate_list<SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Iterating over data

多くのプロセスでは、データのカタログ化または反復処理が必要
一般的なものは arcpy list functions

30+ across arcpy and modules

arcpy.da list functions:

ListDomains

ListFieldConflictFilters

ListReplicas

ListSubtypes

ListVersions
‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Walk

ディレクトリ構造をたどってArcGIS のデータタイプを返す

3つのタプルを返す: path, path names, and filenames

walk <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>Walk<SPAN class="punctuation token">(</SPAN>workspace<SPAN class="punctuation token">,</SPAN> datatype<SPAN class="operator token">=</SPAN>datatypes<SPAN class="punctuation token">)</SPAN>

<SPAN class="keyword token">for</SPAN> path<SPAN class="punctuation token">,</SPAN> path_names<SPAN class="punctuation token">,</SPAN> data_names <SPAN class="keyword token">in</SPAN> walk<SPAN class="punctuation token">:</SPAN>
    <SPAN class="keyword token">for</SPAN> data_name <SPAN class="keyword token">in</SPAN> data_names<SPAN class="punctuation token">:</SPAN>
        do_something<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Demo:Iterating over data

GitHub 上の「demo_3_list.py」のコードはこちら

Numpy

Numpy は科学計算用のサードパーティ製 Pythonライブラリ
- 強力な配列オブジェクト
- 洗練された分析機能

arcpy.daは、テーブルやフィーチャクラスと numpy arrays への相互変換をサポート
- FeatureClassToNumPyArray, TableToNumPyArray

raster と numpy.arrays も相互に変換可能
- RasterToNumPyArray, NumPyArrayToRaster

NumPy functions

arcpy.da はその他にもテーブルやフィーチャクラスへの変換をサポート

FeuatureClassToNumPyArray

TableToNumPyArray

NumPyArrayToFeatureClass

NumPyArrayToTable

ExtendTable‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Export to NumPy

さらに分析するために、テーブルやフィーチャクラスから numpy arrays へ変換可能

<SPAN class="keyword token">import</SPAN> arcpy
<SPAN class="keyword token">import</SPAN> numpy
    
in_fc <SPAN class="operator token">=</SPAN> <SPAN class="string token">"c:/data/usa.gdb/USA/counties"</SPAN>
field1 <SPAN class="operator token">=</SPAN> <SPAN class="string token">"INCOME"</SPAN>
field2 <SPAN class="operator token">=</SPAN> <SPAN class="string token">"EDUCATION"</SPAN>
    
array1 <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>FeatureClassToNumPyArray<SPAN class="punctuation token">(</SPAN>in_fc<SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">[</SPAN>field1<SPAN class="punctuation token">,</SPAN> field2<SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>
    
<SPAN class="comment token"># Print correlation coefficients for comparison of 2 fields</SPAN>
<SPAN class="keyword token">print</SPAN> numpy<SPAN class="punctuation token">.</SPAN>corrcoef<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">(</SPAN>array1<SPAN class="punctuation token">[</SPAN>field1<SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> array1<SPAN class="punctuation token">[</SPAN>field2<SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Import from NumPy

numpy での成果を、エクスポートしてArcGIS に戻す

point:

array1 <SPAN class="operator token">=</SPAN> numpy<SPAN class="punctuation token">.</SPAN>array<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="number token">1</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="number token">2</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN> <SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> numpy<SPAN class="punctuation token">.</SPAN>dtype<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="string token">'idfield'</SPAN><SPAN class="punctuation token">,</SPAN> numpy<SPAN class="punctuation token">.</SPAN>int32<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'XY'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'<f8'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">2</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
sr <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>SpatialReference<SPAN class="punctuation token">(</SPAN>wkid<SPAN class="punctuation token">)</SPAN>  
arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>NumPyArrayToFeatureClass<SPAN class="punctuation token">(</SPAN>array1<SPAN class="punctuation token">,</SPAN> outFC<SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="string token">'XY'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> sr<SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

polygons, lines, multipoints は別のところ

pandas

pandas は次のような特徴の3rd パーティライブラリ
- ハイパフォーマンス
- 使いやすいデータ構造と
- 解析ツール

<SPAN class="keyword token">def</SPAN> <SPAN class="token function">features_to_pandas</SPAN><SPAN class="punctuation token">(</SPAN>in_features<SPAN class="punctuation token">,</SPAN> fields<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">:</SPAN>
    in_arr <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>FeatureClassToNumPyArray<SPAN class="punctuation token">(</SPAN>in_features<SPAN class="punctuation token">,</SPAN> fields<SPAN class="punctuation token">)</SPAN>
    <SPAN class="keyword token">return</SPAN> pandas<SPAN class="punctuation token">,</SPAN>DataFrame<SPAN class="punctuation token">(</SPAN>in_arr<SPAN class="punctuation token">)</SPAN>‍‍‍

<SPAN class="keyword token">def</SPAN> <SPAN class="token function">pandas_to_features</SPAN><SPAN class="punctuation token">(</SPAN>dataframe<SPAN class="punctuation token">,</SPAN> output<SPAN class="punctuation token">,</SPAN> geometry_columns<SPAN class="punctuation token">,</SPAN> wkid<SPAN class="operator token">=</SPAN>None<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">:</SPAN>
    in_arr <SPAN class="operator token">=</SPAN> dataframe<SPAN class="punctuation token">.</SPAN>to_records<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>
    spatial_ref <SPAN class="operator token">=</SPAN> <SPAN class="string token">''</SPAN> <SPAN class="keyword token">if</SPAN> <SPAN class="operator token">not</SPAN> wkid <SPAN class="keyword token">else</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>SpatialReference<SPAN class="punctuation token">(</SPAN>wkid<SPAN class="punctuation token">)</SPAN>
    <SPAN class="keyword token">return</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>NumPyArrayToFeatureClass<SPAN class="punctuation token">(</SPAN>in_arr<SPAN class="punctuation token">,</SPAN> output<SPAN class="punctuation token">,</SPAN> geometry_columns<SPAN class="punctuation token">,</SPAN> spatial_reference<SPAN class="operator token">=</SPAN>spatial_ref<SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Demo: arcpy, numpy and pandas

GitHub 上の「demo_4_numpy.py」のコードはこちら

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