> ## Documentation Index > Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-opensw-1774360645-bf2eec8.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # CSV integration > Integrate with the CSV document loader using LangChain Python. > A [comma-separated values (CSV)](https://en.wikipedia.org/wiki/Comma-separated_values) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. Load [csv](https://en.wikipedia.org/wiki/Comma-separated_values) data with a single row per document. ```python theme={null} from langchain_community.document_loaders.csv_loader import CSVLoader loader = CSVLoader(file_path="./example_data/mlb_teams_2012.csv") data = loader.load() print(data) ``` ```json theme={null} [Document(page_content='Team: Nationals\n"Payroll (millions)": 81.34\n"Wins": 98', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 0}), Document(page_content='Team: Reds\n"Payroll (millions)": 82.20\n"Wins": 97', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 1}), Document(page_content='Team: Yankees\n"Payroll (millions)": 197.96\n"Wins": 95', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 2}), Document(page_content='Team: Giants\n"Payroll (millions)": 117.62\n"Wins": 94', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 3}), Document(page_content='Team: Braves\n"Payroll (millions)": 83.31\n"Wins": 94', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 4}), Document(page_content='Team: Athletics\n"Payroll (millions)": 55.37\n"Wins": 94', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 5}), Document(page_content='Team: Rangers\n"Payroll (millions)": 120.51\n"Wins": 93', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 6}), Document(page_content='Team: Orioles\n"Payroll (millions)": 81.43\n"Wins": 93', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 7}), Document(page_content='Team: Rays\n"Payroll (millions)": 64.17\n"Wins": 90', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 8}), Document(page_content='Team: Angels\n"Payroll (millions)": 154.49\n"Wins": 89', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 9}), Document(page_content='Team: Tigers\n"Payroll (millions)": 132.30\n"Wins": 88', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 10}), Document(page_content='Team: Cardinals\n"Payroll (millions)": 110.30\n"Wins": 88', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 11}), Document(page_content='Team: Dodgers\n"Payroll (millions)": 95.14\n"Wins": 86', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 12}), Document(page_content='Team: White Sox\n"Payroll (millions)": 96.92\n"Wins": 85', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 13}), Document(page_content='Team: Brewers\n"Payroll (millions)": 97.65\n"Wins": 83', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 14}), Document(page_content='Team: Phillies\n"Payroll (millions)": 174.54\n"Wins": 81', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 15}), Document(page_content='Team: Diamondbacks\n"Payroll (millions)": 74.28\n"Wins": 81', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 16}), Document(page_content='Team: Pirates\n"Payroll (millions)": 63.43\n"Wins": 79', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 17}), Document(page_content='Team: Padres\n"Payroll (millions)": 55.24\n"Wins": 76', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 18}), Document(page_content='Team: Mariners\n"Payroll (millions)": 81.97\n"Wins": 75', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 19}), Document(page_content='Team: Mets\n"Payroll (millions)": 93.35\n"Wins": 74', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 20}), Document(page_content='Team: Blue Jays\n"Payroll (millions)": 75.48\n"Wins": 73', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 21}), Document(page_content='Team: Royals\n"Payroll (millions)": 60.91\n"Wins": 72', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 22}), Document(page_content='Team: Marlins\n"Payroll (millions)": 118.07\n"Wins": 69', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 23}), Document(page_content='Team: Red Sox\n"Payroll (millions)": 173.18\n"Wins": 69', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 24}), Document(page_content='Team: Indians\n"Payroll (millions)": 78.43\n"Wins": 68', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 25}), Document(page_content='Team: Twins\n"Payroll (millions)": 94.08\n"Wins": 66', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 26}), Document(page_content='Team: Rockies\n"Payroll (millions)": 78.06\n"Wins": 64', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 27}), Document(page_content='Team: Cubs\n"Payroll (millions)": 88.19\n"Wins": 61', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 28}), Document(page_content='Team: Astros\n"Payroll (millions)": 60.65\n"Wins": 55', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 29})] ``` ## Customizing the csv parsing and loading See the [csv module](https://docs.python.org/3/library/csv.html) documentation for more information of what csv args are supported. ```python theme={null} loader = CSVLoader( file_path="./example_data/mlb_teams_2012.csv", csv_args={ "delimiter": ",", "quotechar": '"', "fieldnames": ["MLB Team", "Payroll in millions", "Wins"], }, ) data = loader.load() print(data) ``` ```python theme={null} [Document(page_content='MLB Team: Team\nPayroll in millions: "Payroll (millions)"\nWins: "Wins"', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 0}), Document(page_content='MLB Team: Nationals\nPayroll in millions: 81.34\nWins: 98', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 1}), Document(page_content='MLB Team: Reds\nPayroll in millions: 82.20\nWins: 97', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 2}), Document(page_content='MLB Team: Yankees\nPayroll in millions: 197.96\nWins: 95', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 3}), Document(page_content='MLB Team: Giants\nPayroll in millions: 117.62\nWins: 94', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 4}), Document(page_content='MLB Team: Braves\nPayroll in millions: 83.31\nWins: 94', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 5}), Document(page_content='MLB Team: Athletics\nPayroll in millions: 55.37\nWins: 94', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 6}), Document(page_content='MLB Team: Rangers\nPayroll in millions: 120.51\nWins: 93', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 7}), Document(page_content='MLB Team: Orioles\nPayroll in millions: 81.43\nWins: 93', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 8}), Document(page_content='MLB Team: Rays\nPayroll in millions: 64.17\nWins: 90', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 9}), Document(page_content='MLB Team: Angels\nPayroll in millions: 154.49\nWins: 89', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 10}), Document(page_content='MLB Team: Tigers\nPayroll in millions: 132.30\nWins: 88', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 11}), Document(page_content='MLB Team: Cardinals\nPayroll in millions: 110.30\nWins: 88', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 12}), Document(page_content='MLB Team: Dodgers\nPayroll in millions: 95.14\nWins: 86', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 13}), Document(page_content='MLB Team: White Sox\nPayroll in millions: 96.92\nWins: 85', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 14}), Document(page_content='MLB Team: Brewers\nPayroll in millions: 97.65\nWins: 83', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 15}), Document(page_content='MLB Team: Phillies\nPayroll in millions: 174.54\nWins: 81', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 16}), Document(page_content='MLB Team: Diamondbacks\nPayroll in millions: 74.28\nWins: 81', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 17}), Document(page_content='MLB Team: Pirates\nPayroll in millions: 63.43\nWins: 79', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 18}), Document(page_content='MLB Team: Padres\nPayroll in millions: 55.24\nWins: 76', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 19}), Document(page_content='MLB Team: Mariners\nPayroll in millions: 81.97\nWins: 75', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 20}), Document(page_content='MLB Team: Mets\nPayroll in millions: 93.35\nWins: 74', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 21}), Document(page_content='MLB Team: Blue Jays\nPayroll in millions: 75.48\nWins: 73', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 22}), Document(page_content='MLB Team: Royals\nPayroll in millions: 60.91\nWins: 72', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 23}), Document(page_content='MLB Team: Marlins\nPayroll in millions: 118.07\nWins: 69', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 24}), Document(page_content='MLB Team: Red Sox\nPayroll in millions: 173.18\nWins: 69', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 25}), Document(page_content='MLB Team: Indians\nPayroll in millions: 78.43\nWins: 68', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 26}), Document(page_content='MLB Team: Twins\nPayroll in millions: 94.08\nWins: 66', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 27}), Document(page_content='MLB Team: Rockies\nPayroll in millions: 78.06\nWins: 64', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 28}), Document(page_content='MLB Team: Cubs\nPayroll in millions: 88.19\nWins: 61', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 29}), Document(page_content='MLB Team: Astros\nPayroll in millions: 60.65\nWins: 55', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 30})] ``` ## Specify a column to identify the document source Use the `source_column` argument to specify a source for the document created from each row. Otherwise `file_path` will be used as the source for all documents created from the CSV file. This is useful when using documents loaded from CSV files for chains that answer questions using sources. ```python theme={null} loader = CSVLoader(file_path="./example_data/mlb_teams_2012.csv", source_column="Team") data = loader.load() print(data) ``` ```json theme={null} [Document(page_content='Team: Nationals\n"Payroll (millions)": 81.34\n"Wins": 98', metadata={'source': 'Nationals', 'row': 0}), Document(page_content='Team: Reds\n"Payroll (millions)": 82.20\n"Wins": 97', metadata={'source': 'Reds', 'row': 1}), Document(page_content='Team: Yankees\n"Payroll (millions)": 197.96\n"Wins": 95', metadata={'source': 'Yankees', 'row': 2}), Document(page_content='Team: Giants\n"Payroll (millions)": 117.62\n"Wins": 94', metadata={'source': 'Giants', 'row': 3}), Document(page_content='Team: Braves\n"Payroll (millions)": 83.31\n"Wins": 94', metadata={'source': 'Braves', 'row': 4}), Document(page_content='Team: Athletics\n"Payroll (millions)": 55.37\n"Wins": 94', metadata={'source': 'Athletics', 'row': 5}), Document(page_content='Team: Rangers\n"Payroll (millions)": 120.51\n"Wins": 93', metadata={'source': 'Rangers', 'row': 6}), Document(page_content='Team: Orioles\n"Payroll (millions)": 81.43\n"Wins": 93', metadata={'source': 'Orioles', 'row': 7}), Document(page_content='Team: Rays\n"Payroll (millions)": 64.17\n"Wins": 90', metadata={'source': 'Rays', 'row': 8}), Document(page_content='Team: Angels\n"Payroll (millions)": 154.49\n"Wins": 89', metadata={'source': 'Angels', 'row': 9}), Document(page_content='Team: Tigers\n"Payroll (millions)": 132.30\n"Wins": 88', metadata={'source': 'Tigers', 'row': 10}), Document(page_content='Team: Cardinals\n"Payroll (millions)": 110.30\n"Wins": 88', metadata={'source': 'Cardinals', 'row': 11}), Document(page_content='Team: Dodgers\n"Payroll (millions)": 95.14\n"Wins": 86', metadata={'source': 'Dodgers', 'row': 12}), Document(page_content='Team: White Sox\n"Payroll (millions)": 96.92\n"Wins": 85', metadata={'source': 'White Sox', 'row': 13}), Document(page_content='Team: Brewers\n"Payroll (millions)": 97.65\n"Wins": 83', metadata={'source': 'Brewers', 'row': 14}), Document(page_content='Team: Phillies\n"Payroll (millions)": 174.54\n"Wins": 81', metadata={'source': 'Phillies', 'row': 15}), Document(page_content='Team: Diamondbacks\n"Payroll (millions)": 74.28\n"Wins": 81', metadata={'source': 'Diamondbacks', 'row': 16}), Document(page_content='Team: Pirates\n"Payroll (millions)": 63.43\n"Wins": 79', metadata={'source': 'Pirates', 'row': 17}), Document(page_content='Team: Padres\n"Payroll (millions)": 55.24\n"Wins": 76', metadata={'source': 'Padres', 'row': 18}), Document(page_content='Team: Mariners\n"Payroll (millions)": 81.97\n"Wins": 75', metadata={'source': 'Mariners', 'row': 19}), Document(page_content='Team: Mets\n"Payroll (millions)": 93.35\n"Wins": 74', metadata={'source': 'Mets', 'row': 20}), Document(page_content='Team: Blue Jays\n"Payroll (millions)": 75.48\n"Wins": 73', metadata={'source': 'Blue Jays', 'row': 21}), Document(page_content='Team: Royals\n"Payroll (millions)": 60.91\n"Wins": 72', metadata={'source': 'Royals', 'row': 22}), Document(page_content='Team: Marlins\n"Payroll (millions)": 118.07\n"Wins": 69', metadata={'source': 'Marlins', 'row': 23}), Document(page_content='Team: Red Sox\n"Payroll (millions)": 173.18\n"Wins": 69', metadata={'source': 'Red Sox', 'row': 24}), Document(page_content='Team: Indians\n"Payroll (millions)": 78.43\n"Wins": 68', metadata={'source': 'Indians', 'row': 25}), Document(page_content='Team: Twins\n"Payroll (millions)": 94.08\n"Wins": 66', metadata={'source': 'Twins', 'row': 26}), Document(page_content='Team: Rockies\n"Payroll (millions)": 78.06\n"Wins": 64', metadata={'source': 'Rockies', 'row': 27}), Document(page_content='Team: Cubs\n"Payroll (millions)": 88.19\n"Wins": 61', metadata={'source': 'Cubs', 'row': 28}), Document(page_content='Team: Astros\n"Payroll (millions)": 60.65\n"Wins": 55', metadata={'source': 'Astros', 'row': 29})] ``` ## `UnstructuredCSVLoader` You can also load the table using the `UnstructuredCSVLoader`. One advantage of using `UnstructuredCSVLoader` is that if you use it in `"elements"` mode, an HTML representation of the table will be available in the metadata. ```python theme={null} from langchain_community.document_loaders.csv_loader import UnstructuredCSVLoader loader = UnstructuredCSVLoader( file_path="example_data/mlb_teams_2012.csv", mode="elements" ) docs = loader.load() print(docs[0].metadata["text_as_html"]) ``` ```text theme={null}
Team "Payroll (millions)" "Wins"
Nationals 81.34 98
Reds 82.20 97
Yankees 197.96 95
Giants 117.62 94
Braves 83.31 94
Athletics 55.37 94
Rangers 120.51 93
Orioles 81.43 93
Rays 64.17 90
Angels 154.49 89
Tigers 132.30 88
Cardinals 110.30 88
Dodgers 95.14 86
White Sox 96.92 85
Brewers 97.65 83
Phillies 174.54 81
Diamondbacks 74.28 81
Pirates 63.43 79
Padres 55.24 76
Mariners 81.97 75
Mets 93.35 74
Blue Jays 75.48 73
Royals 60.91 72
Marlins 118.07 69
Red Sox 173.18 69
Indians 78.43 68
Twins 94.08 66
Rockies 78.06 64
Cubs 88.19 61
Astros 60.65 55
``` ```python theme={null} ``` ***
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