Same call on different platform yields different results

[drorata]

Consider the following minimal snippet.

import yfinance as yf
from pandas_datareader import data as pdr
yf.pdr_override()
res = pdr.get_data_yahoo("TCOM", start="2019-01-01", end="2021-06-20")

When ran on my local machine I get in 622 rows in the resulting dataframe. However, if running from within a docker image or a remote VM it returns 621 rows. Somehow, when running on my local machine the first row is dates 2018-12-31...

For both the local and "remote" environments I use the following requirements.txt:

pandas~=1.0
yfinance~=0.1
pandas_datareader~=0.8
pytest<7.0
loguru<0.6
beautifulsoup4~=4.9
python-dotenv<0.20
click<9.0

I'll be happy to provide more debugging information :) Thanks!

[drorata]

I can imagine it is due to the fact that my local machine is in UTC+2 and the docker/VM environments are in UTC. But I don't see how to fix it.

[drorata]

I just discovered that when replacing the ticker TCOM with CMCSA then the same number of rows is returned on both the local and docker environments.

[ValueRaider]

Timezone handling fixed in recent versions, can you confirm issue fixed