Native Python bindings for the CalcChineseCalendar lunar ephemeris, astronomy, and calendar engine.
Project description
calcchinesecalendar
calcchinesecalendar packages the lunar engine as a native Python extension
for Chinese calendar, almanac, and astronomy computations.
It is intended for direct use from Python code and for installation from PyPI.
The upstream C++ repository and the full reference documentation are available at:
If you need the full CLI reference, C++ API, C API, i18n details, repository layout, or release artifacts, use the GitHub repository as the primary reference.
Installation
pip install calcchinesecalendar
Quick start
import calcchinesecalendar as ccc
print(ccc.version())
data = ccc.day("@series", "2025-06-01")
print(data["data"]["phase_name"])
ganzhi = ccc.ganzhi("@series", "2025-09-07")
print(ganzhi["data"]["day"]["text"])
Using BSP ephemerides
The first argument of the public APIs is the ephemeris selector:
- use
@seriesto force the built-in VSOP87A + ELPMPP02 fallback - pass a BSP file path such as
de442.bspto use JPL DE ephemerides
Example:
import calcchinesecalendar as ccc
data = ccc.day("de442.bsp", "2025-06-01")
print(data["data"]["phase_name"])
Public API overview
The package exposes:
- native core APIs such as
core_day,ganzhi,ganzhi_month, andcalc_eot - high-level helpers such as
day,monthview,at,convert,search,eclipse,festival,almanac, andinfo - raw
runandrun_jsonaccess for advanced command-style use - a
Lunarclient class for shared defaults such aslangandeclipse_method
High-level helper example
import calcchinesecalendar as ccc
result = ccc.search(
"@series",
"next full moon",
from_time="2025-06-01T00:00:00+08:00",
count=2,
)
for item in result["data"]:
print(item["code"], item["loc_iso"])
Lunar client example
import calcchinesecalendar as ccc
lunar = ccc.Lunar(lang="en", eclipse_method="fast")
result = lunar.day("@series", "2025-06-01")
print(result["data"]["phase_name"])
Notes
- Python package name:
calcchinesecalendar - Import name:
calcchinesecalendar - Python 3.10 or newer is required
- The package bundles the native extension; a compiler is not required for normal wheel installation
For the full CLI, C++ API, C API, i18n documentation, and repository-level usage notes, see the GitHub C++ repository:
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