I am using a vendor supplied jupyter environment hosted over a remote server, the project files are stored locally.
I have a bunch of excel files I read data from and use vendor api to get other fields.
I am running into an issue where if I use os.listdir() to loop, I keep accessing the same files. I feel that the vendor application takes a snapshot of my project directory periodically to sync and if in the meantime I am in midst of accessing data from a large excel file, the file iterator gets reset to the new snapshot and I end up reading the same files over and over.
for file in os.listdir(path):
print(file)
full_file_name=os.path.join(path,file)
try:
with pd.ExcelFile(full_file_name) as file_read:
print(file_read)
## Code to read data from different tabs
Output:
Portfolio positions 3.xlsx
Portfolio positions 3.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CB10BCF8>
Portfolio positions 3.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CB10BCF8>
Portfolio positions 4.xlsx
Portfolio positions 3.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CB10BCF8>
Portfolio positions 4.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CAF12908>
Portfolio positions 3.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CB10BCF8>
Portfolio positions 4.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CAF12908>
Portfolio positions 5.xlsx
Portfolio positions 3.xlsx
<pandas.io.excel.ExcelFile object at 0x000001C8CB10BCF8>
...
etc
I can't say why you're experiencing this problem, but an easy solution would be to read files into a list first and create a set to only iterate over unique file names.
files = set(os.listdir(path))
for filename in files:
print(filename)
in the meantime I am in midst of accessing data from a large excel file, the file iterator gets reset to the new snapshot and I end up reading the same files over and over.
I don't think this is what's happening to you, my understanding of Python is that os.listdir() is getting called once. That said, I can't explain the behavior you're seeing, and so I recommend guarding against it anyway.
Try assembling the files into a list and then processing them.
full_file_names = []
for _file in os.listdir(path):
print(_file)
full_file_names.append(os.path.join(path, _file))
for full_file in full_file_names:
try:
...
Also, try not to use file
as it masks a built-in.
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