
        
        
            
                
                
                    index_date = pd.date_range(start="2020-12-25", end="2020-12-27")
df = pd.DataFrame({"A":[2,3,4],"B":[4,5,6]}, index=index_date)
df
                
            
                         A   B
2020-12-25   2   4
2020-12-26   3   5
2020-12-27   4   6

Here, the data type of the index is:


        
        
            
                
                
                    type(df.index)
                
            
            pandas.core.indexes.datetimes.DatetimeIndex

Converting index to datetime

Consider the following DataFrame:


        
        
            
                
                
                    df = pd.DataFrame({"A":[2,3],"B":[4,5]}, index=["2020-12-25", "2020-12-27"])
df
                
            
                         A   B
2020-12-25   2   4
2020-12-27   3   5

Here, the index is of type Index:


        
        
            
                
                
                    type(df.index)
                
            
            pandas.core.indexes.base.Index

To change the index to DatetimeIndex:


        
        
            
                
                
                    df.index = pd.to_datetime(df.index)
df
                
            
                         A   B
2020-12-25   2   4
2020-12-27   3   5

Now, index is of type DatetimeIndex:


        
        
            
                
                
                    type(df.index)
                
            
            pandas.core.indexes.datetimes.DatetimeIndex

Pandas | date_range method

Returns a DatetimeIndex with fixed frequency.

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Pandas | to_datetime method

Converts the argument into a datetime object.

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