質問編集履歴
3
誤字修正
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@@ -128,7 +128,7 @@
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dummy=list(tickers.tickers.values())[**0**].balance_sheet.T["Total Stockholder Equity"]
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を
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dummy=list(tickers.tickers.values())[**1**].balance_sheet.T["Total Stockholder Equity"]
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131
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-
とダミー作成用に
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とダミー作成用に使用するインデックスを変えると。
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1332.T 1333.T 1414.T 1605.T ^N225
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2018-03-31 NaN NaN NaN 2.916679e+12 NaN
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2
初期エラー対策後、次の類似コードに同対応した際に理由不明の意図せぬ結果が返ってくる。
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@@ -86,4 +86,68 @@
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86
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上記はエラー対策をしているのかと推測しているのですが、具体的に何をしているのでしょうか？
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ちなみにtickers.tickersは辞書型で、キーに0 がない為 KeyError: 0 が返ります。
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分かる方、ご教示いただきたくお願いいたします。
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分かる方、ご教示いただきたくお願いいたします。
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追記
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上記のエラーはmeg_様からのご教示により対応できましたが…
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次の同様のコードにて動作不備が発生しました。
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```ここに言語を入力
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equity = [] # 自己資本
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dummy=list(tickers.tickers.values())[0].balance_sheet.T["Total Stockholder Equity"]
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dummy[:] = np.nan
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for i in tickers.tickers:
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try:
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equity.append(tickers.tickers[i].balance_sheet.T["Total Stockholder Equity"])
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except:
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equity.append(dummy) # エラー発生時はダミーを入れる
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equity = pd.DataFrame(equity).T # DataFrame化
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equity.columns = stocks # カラム名の設定
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print(equity)
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```
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上記の実行結果(結果1)は
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1332.T 1333.T 1414.T 1605.T ^N225
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2018-03-31 NaN 1.154590e+11 NaN 2.916679e+12 NaN
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2018-06-30 NaN NaN 7.409500e+10 NaN NaN
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2019-03-31 NaN 1.253530e+11 NaN 3.006479e+12 NaN
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2019-06-30 NaN NaN 7.806600e+10 NaN NaN
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2019-12-31 NaN NaN NaN 3.040774e+12 NaN
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2020-03-31 NaN 1.326280e+11 NaN NaN NaN
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2020-06-30 NaN NaN 8.359900e+10 NaN NaN
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2020-12-31 NaN NaN NaN 2.736540e+12 NaN
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2021-03-31 NaN 1.428330e+11 NaN NaN NaN
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2021-06-30 NaN NaN 9.089500e+10 NaN NaN
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となります。…が、1332.Tはエラーではないので1333.T,1414.T,1605.Tと同様にデータが取得できるはずなのです。
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ちなみに上記実行後に上記コードの
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dummy=list(tickers.tickers.values())[**0**].balance_sheet.T["Total Stockholder Equity"]
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を
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dummy=list(tickers.tickers.values())[**1**].balance_sheet.T["Total Stockholder Equity"]
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とダミー作成用に作成使用するインデックスを変えると。
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1332.T 1333.T 1414.T 1605.T ^N225
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133
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+
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2018-03-31 NaN NaN NaN 2.916679e+12 NaN
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135
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2018-06-30 NaN NaN 7.409500e+10 NaN NaN
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136
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2019-03-31 NaN NaN NaN 3.006479e+12 NaN
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2019-06-30 NaN NaN 7.806600e+10 NaN NaN
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2019-12-31 NaN NaN NaN 3.040774e+12 NaN
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2020-03-31 NaN NaN NaN NaN NaN
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2020-06-30 NaN NaN 8.359900e+10 NaN NaN
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2020-12-31 NaN NaN NaN 2.736540e+12 NaN
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2021-03-31 NaN NaN NaN NaN NaN
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2021-06-30 NaN NaN 9.089500e+10 NaN NaN
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と1332.Tはエラーのままで追加で1333.Tまでエラー扱いになります。
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(同様にインデックスを2,3と変えれば1414.Tもエラー扱い。1605.Tもエラー扱いになっていきます。)
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+
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ちなみに、tikersの中身を再度入れなおすと元の結果1に戻ります。
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根本的にダミー作成のためにリストを作成して(適当な)該当tickersの.balance_sheet.T["Total Stockholder Equity"]を引っ張るだけで
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for i in tickers.tickers:以降の.balance_sheet.T["Total Stockholder Equity"]に影響を与える意味が分かりません。。。。
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+
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理由と対策わかられる方、ご教示の程宜しくお願い致します。
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1
エラー追記
title
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@@ -29,6 +29,57 @@
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29
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以降が上手く動作できません。
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エラー内容追記
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```ここに言語を入力
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KeyError Traceback (most recent call last)
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~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
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3080 try:
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-> 3081 return self._engine.get_loc(casted_key)
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3082 except KeyError as err:
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pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
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pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
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43
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pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
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45
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pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
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48
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KeyError: 'Net Income'
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50
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The above exception was the direct cause of the following exception:
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KeyError Traceback (most recent call last)
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<ipython-input-76-21ebd2ac4cd6> in <module>
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9 try:
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---> 10 earnings.append(tickers.tickers[i].financials.T["Net Income"])
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11 except:
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~\anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
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3023 return self._getitem_multilevel(key)
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-> 3024 indexer = self.columns.get_loc(key)
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3025 if is_integer(indexer):
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~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
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3082 except KeyError as err:
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-> 3083 raise KeyError(key) from err
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3084
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KeyError: 'Net Income'
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During handling of the above exception, another exception occurred:
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NameError Traceback (most recent call last)
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<ipython-input-76-21ebd2ac4cd6> in <module>
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10 earnings.append(tickers.tickers[i].financials.T["Net Income"])
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11 except:
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---> 12 earnings.append(dummy) # エラー発生時はダミーを入れる
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13
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14
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NameError: name 'dummy' is not defined
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```
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32
83
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①
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33
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> dummy = tickers.tickers[0].financials.T["Net Income"]
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34
85
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> dummy[:] = np.nan
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