Pandas Data Frame Convert Index To Column

df.index to Add Index as a New Column reset_index With rename_axis to Rename the Current Index Column Name Use the set_index Method to Convert Column to Index MultiIndex to Set Multiple Layers of indexes on column We will introduce various methods to convert the index of a Pandas DataFrame into a column, like df.index, set_index, and reset_index with rename_axis to rename the index.

Row labels are also known as the index of a DataFrame. In this short how-to article, we will learn how to create a column from the index of Pandas DataFrames. Pandas. The reset_index function resets the index of the DataFrame with the default index which is integers starting from 0 and creates a column with the existing index of the DataFrame.

Method 1 Create a new DataFrame column and pass the index. This is the simplest method to convert the DataFrame index to column. In this method, we simply create a new column in the DataFrame and pass the index to it using the DataFrame.index method of pandas DataFrame class. Let's see the Python code to implement this method.

This code snippet creates a DataFrame with a custom index and then uses the reset_index method to convert the index into a column. The new DataFrame has a default integer index with the original index values included as a new column. Method 2 Renaming the Index Before Resetting. If you want to assign a specific name to the new column that

If our DataFrame is time series data, it's possible that the index could be the timestamp or relative time since the start of the series. By converting the index into a column, we can then perform operations on it just like any other column. Convert Index into a Column. Now let's see how we can actually convert the index of a DataFrame into a

Create a new column with index values df'index' df.index printdf Yields below output. It adds a new column index_column with index values to DataFrame. Output Courses Fee Duration Discount index_column 0 Spark 20000 30day 1000 0 1 PySpark 25000 40days 2300 1 2 Hadoop 26000 35days 1500 2 3 Python 22000 40days 1200 3 4 pandas 24000 60days 2500 4 5 Oracle 21000 50days 2100 5 6 Java

If your DataFrame is a MultiIndex, you can control which index levels to convert into columns using the level parameter of reset_index. For instance For instance df_multi . reset_indexlevel 'State' State is the name of one of the index levels

Otherwise, it converts the index columns to regular columns after first checking that the data frame does not already have a column with the same name as one of the index columns. Disclosure I wrote pandahandler .

We could also use the following code to only convert a specific level of the MultiIndex to a column convert just 'ID' index to column in DataFrame df. reset_index inplace True, level ' ID ' view updated DataFrame df ID Store Sales Full Partial Level1 Lev1 L1 A 17 Level2 Lev2 L2 B 22 Level3 Lev3 L3 C 29 Level4 Lev4 L4 D 35

Converting Index to Columns. By default, each row of the dataframe has an index value. The rows in the dataframe are assigned index values from 0 to the number of rows - 1 in a sequentially order with each row having one index value. There are many ways to convert an index to a column in a pandas dataframe. Let's create a dataframe. Python3