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Update instruments/readers/nasa_ames_reader.py to handle dirty text entries. Dirty entries of time variables that cannot be properly processed are sent to nat

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florez_j
2025-05-27 10:12:20 +02:00
parent 6851f03dbd
commit 87462211a9
1 changed files with 14 additions and 2 deletions
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16
instruments/readers/nasa_ames_reader.py
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@ -152,10 +152,22 @@ def read_nasa_ames_as_dict(filename, instruments_dir: str = None, work_with_copy
sep="\s+", sep="\s+",
header=header_length - 1, header=header_length - 1,
skip_blank_lines=True) skip_blank_lines=True)
df['start_time'] = df['start_time'].astype(str).str.strip()
df['end_time'] = df['end_time'].astype(str).str.strip()
df['start_time'] = pd.to_numeric(df['start_time'], errors='coerce')
df['end_time'] = pd.to_numeric(df['end_time'], errors='coerce')
# Compute actual datetime from start_time and (if present) end_time # Compute actual datetime from start_time and (if present) end_time
df['start_time'] = df['start_time'].apply(lambda x: start_date + timedelta(days=x)) df['start_time'] = df['start_time'].apply(
lambda x: start_date + timedelta(days=x) if pd.notna(x) else pd.NaT
)
if 'end_time' in df.columns: if 'end_time' in df.columns:
df['end_time'] = df['end_time'].apply(lambda x: start_date + timedelta(days=x)) df['end_time'] = df['end_time'].apply(
lambda x: start_date + timedelta(days=x) if pd.notna(x) else pd.NaT
)
# Create header metadata dictionary # Create header metadata dictionary
header_metadata_dict = { header_metadata_dict = {