Dawn Transition Analyzer
Deteksi titik fajar presisi menggunakan regresi linear & interpolasi.
Downsampling (N per blok)
Batas Baseline (Index)
Threshold Multiplier (k*SEE)
Titik Fajar (X)
-
Nilai SEE
-
Threshold
-
Arah Sinyal
-
> Sistem Siap. Silakan unggah file...
DETEKSI TEMARAM DUA
📜 Viewer Kode Python
Advanced Dawn Transition Analyzer
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats
# =================================================================
# [1] FUNGSI UTILITAS DATA & SMART AUTO-CLEANING
# =================================================================
def read_table_flexible(path: str) -> pd.DataFrame:
"""Membaca file dengan deteksi pemisah otomatis dan penanganan desimal."""
try:
df = pd.read_csv(path, sep=None, engine="python")
if df.shape[1] <= 1:
df = pd.read_csv(path, sep=';', engine="python")
df.columns = [c.strip() for c in df.columns]
except Exception as e:
print(f"⚠️ Gagal membaca otomatis: {e}")
df = pd.DataFrame()
if len(df.columns) > 0 and str(df.columns[0]).startswith("Unnamed"):
df = df.rename(columns={df.columns[0]: "Index"})
return df
# ... (kode lengkap dapat ditempel seluruhnya di sini tanpa perubahan)
if __name__ == "__main__":
main()
📜 Viewer Kode Python
Advanced Dawn Transition Analyzer
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats
# =================================================================
# [1] FUNGSI UTILITAS DATA & SMART AUTO-CLEANING
# =================================================================
def read_table_flexible(path: str) -> pd.DataFrame:
"""Membaca file dengan deteksi pemisah otomatis dan penanganan desimal."""
try:
df = pd.read_csv(path, sep=None, engine="python")
if df.shape[1] <= 1:
df = pd.read_csv(path, sep=';', engine="python")
df.columns = [c.strip() for c in df.columns]
except Exception as e:
print(f"⚠️ Gagal membaca otomatis: {e}")
df = pd.DataFrame()
if len(df.columns) > 0 and str(df.columns[0]).startswith("Unnamed"):
df = df.rename(columns={df.columns[0]: "Index"})
return df
# ... (kode lengkap dapat ditempel seluruhnya di sini tanpa perubahan)
if __name__ == "__main__":
main()