How can we edit dataframe data in pandas?

In Pandas, there are various ways to edit DataFrame data. Here are some common methods:

1. Change the value of a column: You can directly change the value of a column by referencing the column name or attributes. For example, you can use df[‘column_name’] = new_values or df.column_name = new_values to modify the value of a column.
2. Change the value of a specific row: By combining the row index and column index, you can directly change the value of a specific row. For example, you can use df.loc[row_index, column_name] = new_value to modify the value of a specific row.
3. To add a new column to a DataFrame, you can assign a new column name to the DataFrame object and then assign the corresponding values to that column. For example, you can use df[‘new_column’] = values to add a new column.
4. To delete a column: You can use the del keyword or the drop() method to delete a column. For example, you can use del df[‘column_name’] or df = df.drop(‘column_name’, axis=1) to delete a column.
5. To remove a specific row, you can utilize the drop() method. For example, you can use df = df.drop(row_index) to delete a particular row.
6. Change data type: You can modify the data type of a specific column using the astype() method. For example, you can use df[‘column_name’] = df[‘column_name’].astype(new_type) to change the data type of a specific column.
7. Sorting the data: You can use the sort_values() method to sort DataFrame data. For instance, you can use df.sort_values(by=’column_name’, ascending=True) to sort by the values in a specific column in ascending order.
8. Filtering data: You can use boolean indexing to filter data in a DataFrame that meets specific conditions. For example, you can use df[df[‘column_name’] > threshold] to filter out data in a column that is greater than a certain threshold.

Here are just some common DataFrame data editing methods listed here, Pandas also offers many other methods for editing and manipulating data, choose the appropriate method based on specific needs.