Reset Index Syntax
Syntax :
DataFrame.reset_index(level=None, drop=False, inplace=False, col_level=0, col_fill=”)
- Parameters:
level
: Specifies multi-level index levels to reset.drop
: Discards current index if True; adds as a new column if False.inplace
: Modifies DataFrame in place if True; returns a new DataFrame if False.col_level
: Specifies which level of multi-level columns to reset.col_fill
: Fills missing values in columns’ levels.- Return Type: Returns a new DataFrame if
inplace
is False; None ifinplace
is True
Well, pandas have reset_index()
function. So to reset the index to the default integer index beginning at 0, We can simply use the reset_index()
function. So let’s see the different ways we can reset the index of a DataFrame.
Reset Index in Pandas Dataframe
Let’s discuss how to reset the index in Pandas DataFrame. Often We start with a huge data frame in Pandas and after manipulating/filtering the data frame, we end up with a much smaller data frame. When we look at the smaller data frame, it might still carry the row index of the original data frame. If the original index is numbers, now we have indexes that are not continuous.