回答編集履歴
1
jsonのサンプルと、pythonのソースを追加しました。
test
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@@ -1,3 +1,189 @@
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その json データでは、 issues キーが重複するため、どんどん上書きされていって最後の issues のみ残ってしまいます。
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そこを改良してください。
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ここから追記です。
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filename : tera.json
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```json
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{
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"expand": "schemanames",
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"startAt": 0,
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"maxResults": 100,
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"total": 150,
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"issues": [
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{
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"expand": "operations,versionedRepresentations,editmeta,changelog,renderedFields",
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"id": "111111",
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"self": "https://sample.jp//api/2/project/111111'",
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"key": "911",
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"fields": {
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"parent": {
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"id": "54321",
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"key": "11",
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"self": "https://sample.jp//api/2/project/11112'"
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}
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}
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},
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{
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"expand": "operations,versionedRepresentations,editmeta,changelog,renderedFields",
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"id": "111112",
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"self": "https://sample.jp//api/2/project/111111'",
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"key": "912",
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"fields": {
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"parent": {
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"id": "54322",
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"key": "12",
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"self": "https://sample.jp//api/2/project/11112'"
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}
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}
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}
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],
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"issues2": [
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{
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"expand": "operations,versionedRepresentations,editmeta,changelog,renderedFields",
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"id": "222222",
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"self": "https://sample.jp//api/2/project/222222'",
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"key": "912",
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"fields": {
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"parent": {
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"id": "64320",
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"key": "21",
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"self": "https://sample.jp//api/2/project/11142'"
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}
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}
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},
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{
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"expand": "operations,versionedRepresentations,editmeta,changelog,renderedFields",
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"id": "3333",
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"self": "https://sample.jp//api/2/project/222222'",
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"key": "913",
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"fields": {
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"parent": {
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"id": "54321",
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"key": "22",
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"self": "https://sample.jp//api/2/project/11142'"
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}
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}
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}
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]
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}
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```
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こんな構造のjsonだったとしたら
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```python
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import pandas as pd
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from pandas.io.json import json_normalize
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import openpyxl
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f= open("tera.json", "r")
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data = json.load(f)
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with pd.ExcelWriter("test.xlsx") as writer:
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for v in data:
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if "issues" in v:
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r = json_normalize(data[v])
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r.to_excel(writer, sheet_name=v)
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```
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これで大体やりたいことはできるかと思います。
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jsonを修正したところとしては、issues のキー名を重複しないように変更したことです。
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186
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+
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187
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もっと構造を変えてもよければ、issues自体をリスト化することです。
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そうするともう少しスマートになるかと。
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