From 99e2e923d0c77b02f3fb4ff648ea916954868606 Mon Sep 17 00:00:00 2001
From: Yuqian Yang <crupest@crupest.life>
Date: Fri, 28 Feb 2025 23:13:39 +0800
Subject: chore(store): move everything to store.

---
 works/life/gpcp/GpcpConverter.py | 29 -----------------------------
 1 file changed, 29 deletions(-)
 delete mode 100644 works/life/gpcp/GpcpConverter.py

(limited to 'works/life/gpcp/GpcpConverter.py')

diff --git a/works/life/gpcp/GpcpConverter.py b/works/life/gpcp/GpcpConverter.py
deleted file mode 100644
index 7aadd44..0000000
--- a/works/life/gpcp/GpcpConverter.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import pandas
-from pandas import DataFrame
-import xarray as xr
-import os
-import os.path
-
-latitude = 30
-longitude = 114
-
-data_dir = os.path.join(os.path.dirname(__file__), "GpcpData")
-files = os.listdir(data_dir)
-files = [os.path.join(data_dir, f) for f in files if f.endswith(".nc")]
-files.sort()
-
-result = DataFrame([], columns=["date", "prec"], dtype="object")
-
-for file in files:
-    data_set = xr.open_dataset(file)
-    df = data_set.to_dataframe()
-    data_set.close()
-    df = df.query(
-        f"latitude == {latitude} & longitude == {longitude} & nv == 1")
-    df = df.reset_index()
-    df = df.drop(columns=["latitude", "longitude", "nv",
-                 "lat_bounds", "lon_bounds", "time_bounds"])
-    df = df.rename(columns={"time": "date", "precip": "prec"})
-    result = pandas.concat([result, df], ignore_index=True)
-
-result.to_csv("./out.csv")
-- 
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