Convert Pandas Series Datetime to String in Python

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Convert Pandas Series Datetime to String in Python

Author：JIYIK Last Updated：2025/04/12 Views：

Pandas Series is a one-dimensional array that can hold any data type and label. Suppose you have a Pandas Series of String datetimeobjects. We can convert a String object to its string equivalent using strftime()the String function and some formatting codes . But to convert a pandas Series of String objects, the approach to be followed is a little different. This article will discuss how we can perform such conversions.datatimedatetime

Convert Pandas Series `datetime`objects to their string equivalents

Refer to the following code. It first creates pandasSeries datetimeobjects and then converts them into pandasSeries string objects.

import pandas as pd

dates = pd.to_datetime(
    pd.Series(["01/01/2021", "02/02/2021", "03/03/2021", "04/04/2021", "05/05/2021"]),
    format="%d/%m/%Y",
)
print("Before conversion")
print(dates)
print("After conversion")
dates = dates.dt.strftime("%Y-%m-%d")
print(dates)

Output:

Before conversion
0   2021-01-01
1   2021-02-02
2   2021-03-03
3   2021-04-04
4   2021-05-05
dtype: datetime64[ns]
After conversion
0    2021-01-01
1    2021-02-02
2    2021-03-03
3    2021-04-04
4    2021-05-05
dtype: object

Note dtypethe values of the output. The former indicates that the series is datetimea object, while the latter indicates that the series is stringa object.

We can also use lambdathe function to convert the data type of an object. Refer to the code below for the same. lambdaThe function uses strftime()the function to perform the conversion.

import pandas as pd

dates = pd.to_datetime(
    pd.Series(["01/01/2021", "02/02/2021", "03/03/2021", "04/04/2021", "05/05/2021"]),
    format="%d/%m/%Y",
)
print("Before conversion")
print(dates)
print("After conversion")
dates = dates.apply(lambda x: x.strftime("%Y-%m-%d"))
print(dates)

Output:

Before conversion
0   2021-01-01
1   2021-02-02
2   2021-03-03
3   2021-04-04
4   2021-05-05
dtype: datetime64[ns]
After conversion
0    2021-01-01
1    2021-02-02
2    2021-03-03
3    2021-04-04
4    2021-05-05
dtype: object

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