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makedirs fix #11

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makedirs fix #11

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32 changes: 18 additions & 14 deletions ros2bag_convert/ros2bag_convert/save_csv_file.py
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Original file line number Diff line number Diff line change
@@ -1,28 +1,33 @@

import csv
import json
import time
import numpy as np
import os

def save_csv_file(data, csv_file_name, version=0, print_out=False):
""" Save data to a csv_file_name (use it after 'read_from_all_topics').
"""

def save_csv_file(data, csv_file_name, version=0, print_out=False):
"""Save data to a csv_file_name (use it after 'read_from_all_topics')."""
os.makedirs(os.path.dirname(csv_file_name), exist_ok=True)
# Create csv file
with open(csv_file_name, mode='w') as csv_file:
with open(csv_file_name, mode="w") as csv_file:
# csv_file.write(str("topic_names = %s \n" %len(data)))
# Create csv header
field_names = ['topic_name', 'topic_type', 'time_stamp', 'message']
field_names = ["topic_name", "topic_type", "time_stamp", "message"]
writer = None

# print("-------------------------------")
nt,line_datas = data[0],data[1]
nt, line_datas = data[0], data[1]
for index in range(len(line_datas)):
row_time,row_data = nt[index],line_datas[index]
row_time = '{}.{}'.format(time.strftime('%Y/%m/%d %H:%M:%S', time.localtime(row_time / 1000 / 1000 / 1000)), row_time % (1000 * 1000 * 1000))
row_time, row_data = nt[index], line_datas[index]
row_time = "{}.{}".format(
time.strftime(
"%Y/%m/%d %H:%M:%S", time.localtime(row_time / 1000 / 1000 / 1000)
),
row_time % (1000 * 1000 * 1000),
)
if writer is None:
field_names = ['time']+list(row_data.keys())
writer = csv.DictWriter(csv_file,fieldnames=field_names)
field_names = ["time"] + list(row_data.keys())
writer = csv.DictWriter(csv_file, fieldnames=field_names)
writer.writeheader()
row_data["time"] = row_time
# row_data = [row_time]+list(row_data.values())
Expand All @@ -40,17 +45,16 @@ def save_csv_file(data, csv_file_name, version=0, print_out=False):
# # 读取json数据的每一行，将values数据一次一行的写入csv中
# writer.writerow(list(line.values()))


# Save data
# for i in range(len(data)):
# topic_name = data[i][0]
# topic_type = data[i][1]

# for j in range(len(data[i][2])):
# writer.writerow({ 'topic_name': topic_name,
# 'topic_type': topic_type,
# 'topic_type': topic_type,
# 'time_stamp': data[i][2][j],
# 'message': data[i][3][j] })

# if print_out:
print('Saving', csv_file_name)
print("Saving", csv_file_name)