擅长:python、mysql、java
<p>我想这就是你要找的。你知道吗</p>
<p>以下以日期为索引,列中包含财务数据:</p>
<pre><code>dataframe_entries = list()
for result in balance_sheet_data_qt.get('balanceSheetHistoryQuarterly').get('AAPL'):
extracted_date = list(result)[0]
dataframe_row = list(result.values())[0]
dataframe_row['date'] = extracted_date
dataframe_entries.append(dataframe_row)
df = pd.DataFrame(dataframe_entries).set_index('date')
</code></pre>
<p>输出:</p>
<pre><code>date accountsPayable treasuryStock
2018-12-29 44293000000 ... -3588000000
2018-09-29 55888000000 ... -3454000000
2018-06-30 38489000000 ... -3111000000
2018-03-31 34311000000 ... -3064000000
</code></pre>