Python Pandas: How To Add Rows In DataFrame

Python Pandas: How To Add Rows In DataFrame

Python Pandas dataframe append() is an inbuilt function that is used to add rows in the dataframe. The loc[] and iloc[] is also way to add or modify rows.

Python Pandas dataframe append() is an inbuilt function that 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.

How To Add Rows In DataFrame

Python Pandas  DataFrame is a two-dimensional size-mutable, potentially composite tabular data structure with labeled axes (rows and columns). The DataFrame can contain the following types of data.

  1. The Pandas Series: One-dimensional labeled array capable of holding any data type with axis labels or index. An example of the Series object is one column from the DataFrame.
  2. NumPy ndarray, which can be the record or structure.
  3. The two-dimensional ndarray using **NumPy.**
  4. Dictionaries of one-dimensional ndarray’s,  lists,  dictionaries, or  Series.

There are mainly three methods we can use to add rows in  DataFrame.

  1. Dataframe.append()
  2. loc[ ]
  3. iloc[ ]

python python pandas numpy dataframe

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