ComponentsDocument loadersXorbits Pandas DataFrameXorbits Pandas DataFrameThis notebook goes over how to load data from a xorbits.pandas DataFrame.#!pip install xorbitsimport xorbits.pandas as pddf = pd.read_csv("example_data/mlb_teams_2012.csv")df.head()  0%|          |   0.00/100 [00:00<?, ?it/s]<div><style scoped>    .dataframe tbody tr th:only-of-type {        vertical-align: middle;    }    .dataframe tbody tr th {        vertical-align: top;    }    .dataframe thead th {        text-align: right;    }</style><table border="1" class="dataframe">  <thead>    <tr style="text-align: right;">      <th></th>      <th>Team</th>      <th>"Payroll (millions)"</th>      <th>"Wins"</th>    </tr>  </thead>  <tbody>    <tr>      <th>0</th>      <td>Nationals</td>      <td>81.34</td>      <td>98</td>    </tr>    <tr>      <th>1</th>      <td>Reds</td>      <td>82.20</td>      <td>97</td>    </tr>    <tr>      <th>2</th>      <td>Yankees</td>      <td>197.96</td>      <td>95</td>    </tr>    <tr>      <th>3</th>      <td>Giants</td>      <td>117.62</td>      <td>94</td>    </tr>    <tr>      <th>4</th>      <td>Braves</td>      <td>83.31</td>      <td>94</td>    </tr>  </tbody></table></div>from langchain.document_loaders import XorbitsLoaderloader = XorbitsLoader(df, page_content_column="Team")loader.load()      0%|          |   0.00/100 [00:00<?, ?it/s]    [Document(page_content='Nationals', metadata={' "Payroll (millions)"': 81.34, ' "Wins"': 98}),     Document(page_content='Reds', metadata={' "Payroll (millions)"': 82.2, ' "Wins"': 97}),     Document(page_content='Yankees', metadata={' "Payroll (millions)"': 197.96, ' "Wins"': 95}),     Document(page_content='Giants', metadata={' "Payroll (millions)"': 117.62, ' "Wins"': 94}),     Document(page_content='Braves', metadata={' "Payroll (millions)"': 83.31, ' "Wins"': 94}),     Document(page_content='Athletics', metadata={' "Payroll (millions)"': 55.37, ' "Wins"': 94}),     Document(page_content='Rangers', metadata={' "Payroll (millions)"': 120.51, ' "Wins"': 93}),     Document(page_content='Orioles', metadata={' "Payroll (millions)"': 81.43, ' "Wins"': 93}),     Document(page_content='Rays', metadata={' "Payroll (millions)"': 64.17, ' "Wins"': 90}),     Document(page_content='Angels', metadata={' "Payroll (millions)"': 154.49, ' "Wins"': 89}),     Document(page_content='Tigers', metadata={' "Payroll (millions)"': 132.3, ' "Wins"': 88}),     Document(page_content='Cardinals', metadata={' "Payroll (millions)"': 110.3, ' "Wins"': 88}),     Document(page_content='Dodgers', metadata={' "Payroll (millions)"': 95.14, ' "Wins"': 86}),     Document(page_content='White Sox', metadata={' "Payroll (millions)"': 96.92, ' "Wins"': 85}),     Document(page_content='Brewers', metadata={' "Payroll (millions)"': 97.65, ' "Wins"': 83}),     Document(page_content='Phillies', metadata={' "Payroll (millions)"': 174.54, ' "Wins"': 81}),     Document(page_content='Diamondbacks', metadata={' "Payroll (millions)"': 74.28, ' "Wins"': 81}),     Document(page_content='Pirates', metadata={' "Payroll (millions)"': 63.43, ' "Wins"': 79}),     Document(page_content='Padres', metadata={' "Payroll (millions)"': 55.24, ' "Wins"': 76}),     Document(page_content='Mariners', metadata={' "Payroll (millions)"': 81.97, ' "Wins"': 75}),     Document(page_content='Mets', metadata={' "Payroll (millions)"': 93.35, ' "Wins"': 74}),     Document(page_content='Blue Jays', metadata={' "Payroll (millions)"': 75.48, ' "Wins"': 73}),     Document(page_content='Royals', metadata={' "Payroll (millions)"': 60.91, ' "Wins"': 72}),     Document(page_content='Marlins', metadata={' "Payroll (millions)"': 118.07, ' "Wins"': 69}),     Document(page_content='Red Sox', metadata={' "Payroll (millions)"': 173.18, ' "Wins"': 69}),     Document(page_content='Indians', metadata={' "Payroll (millions)"': 78.43, ' "Wins"': 68}),     Document(page_content='Twins', metadata={' "Payroll (millions)"': 94.08, ' "Wins"': 66}),     Document(page_content='Rockies', metadata={' "Payroll (millions)"': 78.06, ' "Wins"': 64}),     Document(page_content='Cubs', metadata={' "Payroll (millions)"': 88.19, ' "Wins"': 61}),     Document(page_content='Astros', metadata={' "Payroll (millions)"': 60.65, ' "Wins"': 55})]# Use lazy load for larger table, which won't read the full table into memoryfor i in loader.lazy_load():    print(i)      0%|          |   0.00/100 [00:00<?, ?it/s]    page_content='Nationals' metadata={' "Payroll (millions)"': 81.34, ' "Wins"': 98}    page_content='Reds' metadata={' "Payroll (millions)"': 82.2, ' "Wins"': 97}    page_content='Yankees' metadata={' "Payroll (millions)"': 197.96, ' "Wins"': 95}    page_content='Giants' metadata={' "Payroll (millions)"': 117.62, ' "Wins"': 94}    page_content='Braves' metadata={' "Payroll (millions)"': 83.31, ' "Wins"': 94}    page_content='Athletics' metadata={' "Payroll (millions)"': 55.37, ' "Wins"': 94}    page_content='Rangers' metadata={' "Payroll (millions)"': 120.51, ' "Wins"': 93}    page_content='Orioles' metadata={' "Payroll (millions)"': 81.43, ' "Wins"': 93}    page_content='Rays' metadata={' "Payroll (millions)"': 64.17, ' "Wins"': 90}    page_content='Angels' metadata={' "Payroll (millions)"': 154.49, ' "Wins"': 89}    page_content='Tigers' metadata={' "Payroll (millions)"': 132.3, ' "Wins"': 88}    page_content='Cardinals' metadata={' "Payroll (millions)"': 110.3, ' "Wins"': 88}    page_content='Dodgers' metadata={' "Payroll (millions)"': 95.14, ' "Wins"': 86}    page_content='White Sox' metadata={' "Payroll (millions)"': 96.92, ' "Wins"': 85}    page_content='Brewers' metadata={' "Payroll (millions)"': 97.65, ' "Wins"': 83}    page_content='Phillies' metadata={' "Payroll (millions)"': 174.54, ' "Wins"': 81}    page_content='Diamondbacks' metadata={' "Payroll (millions)"': 74.28, ' "Wins"': 81}    page_content='Pirates' metadata={' "Payroll (millions)"': 63.43, ' "Wins"': 79}    page_content='Padres' metadata={' "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 audio