"Payroll (millions)"': 55.24, ' "Wins"': 76}    page_content='Mariners' metadata={' "Payroll (millions)"': 81.97, ' "Wins"': 75}    page_content='Mets' metadata={' "Payroll (millions)"': 93.35, ' "Wins"': 74}    page_content='Blue Jays' metadata={' "Payroll (millions)"': 75.48, ' "Wins"': 73}    page_content='Royals' metadata={' "Payroll (millions)"': 60.91, ' "Wins"': 72}    page_content='Marlins' metadata={' "Payroll (millions)"': 118.07, ' "Wins"': 69}    page_content='Red Sox' metadata={' "Payroll (millions)"': 173.18, ' "Wins"': 69}    page_content='Indians' metadata={' "Payroll (millions)"': 78.43, ' "Wins"': 68}    page_content='Twins' metadata={' "Payroll (millions)"': 94.08, ' "Wins"': 66}    page_content='Rockies' metadata={' "Payroll (millions)"': 78.06, ' "Wins"': 64}    page_content='Cubs' metadata={' "Payroll (millions)"': 88.19, ' "Wins"': 61}    page_content='Astros' metadata={' "Payroll (millions)"': 60.65, ' "Wins"': 55}PreviousXMLNextYouTube audioCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This notebook goes over how to load data from a xorbits.pandas DataFrame.
This notebook goes over how to load data from a xorbits.pandas DataFrame. ->: "Payroll (millions)"': 55.24, ' "Wins"': 76}    page_content='Mariners' metadata={' "Payroll (millions)"': 81.97, ' "Wins"': 75}    page_content='Mets' metadata={' "Payroll (millions)"': 93.35, ' "Wins"': 74}    page_content='Blue Jays' metadata={' "Payroll (millions)"': 75.48, ' "Wins"': 73}    page_content='Royals' metadata={' "Payroll (millions)"': 60.91, ' "Wins"': 72}    page_content='Marlins' metadata={' "Payroll (millions)"': 118.07, ' "Wins"': 69}    page_content='Red Sox' metadata={' "Payroll (millions)"': 173.18, ' "Wins"': 69}    page_content='Indians' metadata={' "Payroll (millions)"': 78.43, ' "Wins"': 68}    page_content='Twins' metadata={' "Payroll (millions)"': 94.08, ' "Wins"': 66}    page_content='Rockies' metadata={' "Payroll (millions)"': 78.06, ' "Wins"': 64}    page_content='Cubs' metadata={' "Payroll (millions)"': 88.19, ' "Wins"': 61}    page_content='Astros' metadata={' "Payroll (millions)"': 60.65, ' "Wins"': 55}PreviousXMLNextYouTube audioCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.