In Python, the strptime() function is used to convert a string representing a date and time to a datetime object. This function requires the first argument to be a string, not a series.
A ‘Series’ object is a one-dimensional array-like object in pandas which can hold any data type. It is usually used for data manipulation and analysis.
To solve the error “strptime() argument 1 must be str, not series,” you need to ensure that you are passing a string as the argument to the strptime() function instead of a series.
Here’s an example to illustrate this issue:
“`python
import pandas as pd
from datetime import datetime
series_data = pd.Series([‘2022-01-01’, ‘2022-01-02’, ‘2022-01-03’])
datetime_obj = datetime.strptime(series_data, ‘%Y-%m-%d’)
“`
In this example, we have a series called `series_data` that contains three date strings. We are trying to pass this series as the argument to the `strptime()` function. However, this will raise the mentioned error because the first argument should be a string, not a series.
To fix this issue, you need to pass an individual string element from the series to the `strptime()` function. Here’s the corrected example:
“`python
import pandas as pd
from datetime import datetime
series_data = pd.Series([‘2022-01-01’, ‘2022-01-02’, ‘2022-01-03’])
datetime_obj = datetime.strptime(series_data[0], ‘%Y-%m-%d’)
“`
In this corrected example, we are accessing the first element of the series (`series_data[0]`) which returns a single string. This single string is then passed as the argument to the `strptime()` function, and it will work correctly without raising any errors.
Remember to apply the necessary changes to your code based on the specific context of your program.