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The pandas documentation includes a note:
Note Unlike list.append method, which appends to the original list and returns nothing, append here does not modify df1 and returns its copy with df2 appended.
How can I append to an existing DataFrame without making a copy? Or in the terms of the note how can I modify df1 in place by appending df2 and return nothing?
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append() function is used to append rows of other dataframe to the end of the given dataframe, returning a new dataframe object. Columns not in the original dataframes are added as new columns and the new cells are populated with NaN value. ignore_index : If True, do not use the index labels.
Add multiple rows to pandas dataframe We can pass a list of series too in the dataframe. append() for appending multiple rows in dataframe. For example, we can create a list of series with same column names as dataframe i.e. Now pass this list of series to the append() function i.e.
Add rows to DataFrame Pandas in loop By using for loop we can iterate over a list of rows and inside a loop combine the column name as keys elements with the data as values. In Python, the zip() method accepts items and append them into a single tuple.
Dataframe append syntax Using the append method on a dataframe is very simple. You type the name of the first dataframe, and then . append() to call the method. Then inside the parenthesis, you type the name of the second dataframe, which you want to append to the end of the first.
See How to add an extra row to a pandas dataframe
Upcoming pandas 0.13 version will allow to add rows through loc on non existing index data.
Description is here and this new feature is called Setting With Enlargement.
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