jpholiday

Use the `.map()` or `.apply()` method on the Pandas Series to apply the `jpholiday` function to each individual date within the Series.
```python
import jpholiday
import pandas as pd
import datetime

dates_series = pd.Series([datetime.date(2023, 1, 1), datetime.date(2023, 1, 2), datetime.date(2023, 1, 3)])
is_holiday_series = dates_series.map(jpholiday.is_holiday)
print(is_holiday_series)
```

When creating custom holiday logic, define your holiday data directly within the class or pass it during initialization, and ensure `_is_holiday` and `_is_holiday_name` methods implement the logic to check the input `date` without relying on non-existent attributes. The `JPHoliday` class then registers instances of your custom checker.
```python
import jpholiday
import datetime

class MyCustomHolidayChecker(jpholiday.OriginalHoliday):
    def __init__(self, custom_dates):
        self._custom_dates = custom_dates

    def _is_holiday(self, date):
        return date in self._custom_dates

    def _is_holiday_name(self, date):
        if date == datetime.date(2023, 10, 20):
            return 'Company Anniversary'
        return None # Return None if not a custom holiday for this checker

jph = jpholiday.JPHoliday()
custom_dates_to_add = {datetime.date(2023, 10, 20)}
jph.register(MyCustomHolidayChecker(custom_dates_to_add))

print(jph.is_holiday(datetime.date(2023, 10, 20)))
print(jph.holidays(datetime.date(2023, 10, 20)))
```

Install the `jpholiday` library using pip.
```bash
pip install jpholiday
```

Ensure you have the latest version of the `jpholiday` library installed to access the most current holiday data and bug fixes.
```bash
pip install --upgrade jpholiday
```