Calling: search_ticker - query="NVIDIA"

Calling: load - metrics=["total_revenue"], tickers=["NVDA"] DataFrame 153 OK nvda_fundamentals (101 rows)

Calling: compute - dataframe_ids=[153], code="result = df_153[df_153['period_type'] == 'annual'].sort_values('date', ascending=False)\nresult = result[['date', 'total_revenue']]\nresult['total_revenue'] = result['total_revenue'].astype(float) / 1e9\nresult.columns = ['Fiscal Year End', 'Total Revenue ($B)']\nresult['Fiscal Year End'] = result['Fiscal Year End'].str[:4]\nresult = result.head(10)" DataFrame 154 OK result_154 (10 rows)

Calling: show - rows=10, dataframe_id=154 Blob 71 DataFrame 154 OK result_154 (10 rows)