File size: 1,452 Bytes
1ca232c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
import pandas as pd
from pathlib import Path
from tqdm import tqdm
def find_last_true_index(interpolated_series):
true_indices = interpolated_series[interpolated_series == True].index
if len(true_indices) > 0:
return true_indices[-1]
return None
def analyze_all_samples(data_dir):
data_path = Path(data_dir)
parquet_files = sorted(data_path.glob("*.parquet"))
results = []
for parquet_file in tqdm(parquet_files, desc="analyzing samples"):
sample_name = parquet_file.stem
df = pd.read_parquet(parquet_file)
if 'interpolated' not in df.columns:
print(f"warning: {sample_name} has no interpolated column")
continue
last_true_idx = find_last_true_index(df['interpolated'])
results.append({
'sample': sample_name,
'last_true_index': last_true_idx
})
# create results DataFrame
results_df = pd.DataFrame(results)
# save to CSV
output_csv = Path(data_dir).parent / 'interpolated_analysis.csv'
results_df.to_csv(output_csv, index=False)
print(f"\nresults saved to: {output_csv}")
return results_df
# example
if __name__ == "__main__":
data_dir = "./trajectories"
results = analyze_all_samples(data_dir)
print("\nanalysis results:")
print(results)
print(f"\nstatistics:")
print(results.describe()) |