{"id":1987,"date":"2025-08-28T09:49:14","date_gmt":"2025-08-28T09:49:14","guid":{"rendered":"https:\/\/itxperts.co.in\/blog\/?p=1987"},"modified":"2025-08-28T09:49:41","modified_gmt":"2025-08-28T09:49:41","slug":"importing-exporting-csv-dataframes-class12-ip","status":"publish","type":"post","link":"https:\/\/itxperts.co.in\/blog\/importing-exporting-csv-dataframes-class12-ip\/","title":{"rendered":"Importing and Exporting Data between CSV Files and DataFrames \u2013 Class 12 IP Notes"},"content":{"rendered":"\n

Working with data is an important task in programming. In Class 12 Informatics Practices, we use the Pandas library to handle data. One of the most common formats used to store and exchange data is CSV which stands for Comma Separated Values. Pandas provides simple functions to import data from a CSV file into a DataFrame and export data from a DataFrame back to a CSV file.<\/p>\n\n\n\n

\n\n\n\n

What is a CSV File<\/h2>\n\n\n\n

A CSV file is a plain text file where each line represents a record and values are separated by commas. For example a file named students.csv may look like this:<\/p>\n\n\n\n

RollNo,Name,Marks\n101,Anita,92\n102,Rahul,85\n103,Simran,78\n<\/code><\/pre>\n\n\n\n
\n\n\n\n
Importing CSV File into a DataFrame<\/h2>\n\n\n\n
To load data from a CSV file into a Pandas DataFrame we use the read_csv function.<\/p>\n\n\n\n
import pandas as pd\n\ndf = pd.read_csv(\"students.csv\")\n\nprint(df)\n<\/code><\/pre>\n\n\n\n
Explanation:<\/p>\n\n\n\n
    \n
  • pd.read_csv(“filename.csv”) reads the CSV file into a DataFrame<\/li>\n\n\n\n
  • By default it assumes comma as the separator<\/li>\n<\/ul>\n\n\n\n
    Some useful parameters of read_csv are:<\/p>\n\n\n\n
      \n
    • sep \u2192 to specify a different separator, for example sep=”;”<\/li>\n\n\n\n
    • header \u2192 row number to use as column names, header=None if no header row exists<\/li>\n\n\n\n
    • index_col \u2192 to set a column as index<\/li>\n\n\n\n
    • usecols \u2192 to load only specific columns<\/li>\n<\/ul>\n\n\n\n
      Example:<\/p>\n\n\n\n
      df = pd.read_csv(\"students.csv\", usecols=[\"RollNo\", \"Name\"])\nprint(df)\n<\/code><\/pre>\n\n\n\n
      \n\n\n\n
      Exporting DataFrame to CSV File<\/h2>\n\n\n\n
      To save a DataFrame into a CSV file we use the to_csv function.<\/p>\n\n\n\n
      df.to_csv(\"output.csv\", index=False)\n<\/code><\/pre>\n\n\n\n
      Explanation:<\/p>\n\n\n\n
        \n
      • to_csv(“filename.csv”) saves the DataFrame to a CSV file<\/li>\n\n\n\n
      • index=False prevents writing row numbers into the file<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n
        Example Program<\/h2>\n\n\n\n
        import pandas as pd\n\n# Import data\ndf = pd.read_csv(\"students.csv\")\nprint(\"Original Data:\")\nprint(df)\n\n# Add new column\ndf[\"Grade\"] = [\"A\", \"B\", \"C\"]\n\n# Export updated DataFrame\ndf.to_csv(\"students_updated.csv\", index=False)\n\nprint(\"Updated data saved successfully\")\n<\/code><\/pre>\n\n\n\n
        The new file students_updated.csv will look like this:<\/p>\n\n\n\n
        RollNo,Name,Marks,Grade\n101,Anita,92,A\n102,Rahul,85,B\n103,Simran,78,C\n<\/code><\/pre>\n\n\n\n
        \n\n\n\n
        Summary<\/h2>\n\n\n\n
          \n
        • read_csv is used to import data from a CSV file into a DataFrame<\/li>\n\n\n\n
        • to_csv is used to export a DataFrame to a CSV file<\/li>\n\n\n\n
        • CSV is a simple and widely used file format for storing and exchanging data<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n
          Short Revision Table \u2013 Importing and Exporting CSV in Pandas<\/h2>\n\n\n\n
          Operation<\/th>Function \/ Parameter<\/th>Example Code<\/th><\/tr><\/thead>
          Import CSV into DataFrame<\/td>read_csv(\"filename.csv\")<\/code><\/td>df = pd.read_csv(\"data.csv\")<\/code><\/td><\/tr>
          Specify separator<\/td>sep<\/code> parameter<\/td>pd.read_csv(\"data.csv\", sep=\";\")<\/code><\/td><\/tr>
          Read file without header<\/td>header=None<\/code><\/td>pd.read_csv(\"data.csv\", header=None)<\/code><\/td><\/tr>
          Set column as index<\/td>index_col<\/code> parameter<\/td>pd.read_csv(\"data.csv\", index_col=\"RollNo\")<\/code><\/td><\/tr>
          Load only specific columns<\/td>usecols<\/code> parameter<\/td>pd.read_csv(\"data.csv\", usecols=[\"Name\",\"Marks\"])<\/code><\/td><\/tr>
          Export DataFrame to CSV<\/td>to_csv(\"filename.csv\")<\/code><\/td>df.to_csv(\"output.csv\")<\/code><\/td><\/tr>
          Export without row index<\/td>index=False<\/code><\/td>df.to_csv(\"output.csv\", index=False)<\/code><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
          \n\n\n\n
          Practice Questions with Answers<\/h2>\n\n\n\n
          Q1. What is a CSV file Give an example<\/strong>
          Ans. A CSV file is a text file in which data is stored in tabular form. Each line represents a record and values are separated by commas.
          Example:<\/p>\n\n\n\n
          RollNo,Name,Marks\n101,Anita,92\n102,Rahul,85\n<\/code><\/pre>\n\n\n\n
          Q2. Name the function used to import a CSV file into a Pandas DataFrame<\/strong>
          Ans. The function used is read_csv()<\/code><\/p>\n\n\n\n
          Q3. Which parameter of read_csv is used to select only specific columns from the file<\/strong>
          Ans. The parameter usecols<\/code> is used to select specific columns.<\/p>\n\n\n\n
          Q4. Write a short program to read a CSV file named marks.csv and display only the columns RollNo and Marks<\/strong>
          Ans.<\/p>\n\n\n\n
          import pandas as pd\ndf = pd.read_csv(\"marks.csv\", usecols=[\"RollNo\", \"Marks\"])\nprint(df)\n<\/code><\/pre>\n\n\n\n
          Q5. How can you save a DataFrame without row numbers into a CSV file<\/strong>
          Ans. Use the parameter index=False<\/code> with the to_csv function.
          Example:<\/p>\n\n\n\n
          df.to_csv(\"output.csv\", index=False)\n<\/code><\/pre>\n\n\n\n
          Q6. Write a program to read a CSV file students.csv add a new column Grade with values A B and C and then save the updated DataFrame into a new file students_new.csv<\/strong>
          Ans.<\/p>\n\n\n\n
          import pandas as pd\n\ndf = pd.read_csv(\"students.csv\")\ndf[\"Grade\"] = [\"A\", \"B\", \"C\"]\ndf.to_csv(\"students_new.csv\", index=False)\n<\/code><\/pre>\n\n\n\n
          \n","protected":false},"excerpt":{"rendered":"
          Working with data is an important task in programming. In Class 12 Informatics Practices, we use the Pandas library to handle data. One of the most common formats used to store and exchange data is CSV which stands for Comma Separated Values. Pandas provides simple functions to import data from a CSV file into a […]<\/p>\n","protected":false},"author":1,"featured_media":1988,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"googlesitekit_rrm_CAow44u0DA:productID":"","footnotes":""},"categories":[44],"tags":[],"class_list":["post-1987","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python-tutorials"],"acf":[],"yoast_head":"\nImporting and Exporting Data between CSV Files and DataFrames \u2013 Class 12 IP Notes<\/title>\n<meta name=\"description\" content=\"Learn Class 12 Informatics Practices notes on importing and exporting data between CSV files and Pandas DataFrames. 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