missing-user / heat-pump-dashboard

Dashboard for CO2 emissions of heat-pumps in Germany
https://heat-pump.streamlit.app/
GNU General Public License v3.0
4 stars 2 forks source link

not loading code in web page #17

Open alex9green opened 1 month ago

alex9green commented 1 month ago

heat-pump-dashboard/co2intensity.py:6: UserWarning:

Could not infer format, so each element will be parsed individually, falling back to dateutil. To ensure parsing is consistent and as-expected, please specify a format.

/usr/local/lib/python3.12/dist-packages/meteostat/core/loader.py:82: FutureWarning:

Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated. Combine the desired columns with pd.to_datetime after parsing instead.

/usr/local/lib/python3.12/dist-packages/meteostat/core/loader.py:82: FutureWarning:

Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated. Combine the desired columns with pd.to_datetime after parsing instead.

/usr/local/lib/python3.12/dist-packages/meteostat/core/loader.py:82: FutureWarning:

Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated. Combine the desired columns with pd.to_datetime after parsing instead.

/usr/local/lib/python3.12/dist-packages/meteostat/core/loader.py:82: FutureWarning:

Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated. Combine the desired columns with pd.to_datetime after parsing instead.

/usr/local/lib/python3.12/dist-packages/meteostat/interface/meteodata.py:167: FutureWarning:

'H' is deprecated and will be removed in a future version, please use 'h' instead.

/home/delta/heat-pump-dashboard/co2intensity.py:6: UserWarning:

Could not infer format, so each element will be parsed individually, falling back to dateutil. To ensure parsing is consistent and as-expected, please specify a format.

alex9green commented 1 month ago

co2intensity.py /home/delta/hplib/heat-pump-dashboard/co2intensity.py:6: UserWarning: Could not infer format, so each element will be parsed individually, falling back to dateutil. To ensure parsing is consistent and as-expected, please specify a format. hour_deltas = pd.to_datetime(power_df["Start"]).dt.hour.apply( /home/delta/hplib/heat-pump-dashboard/co2intensity.py:9: UserWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument. power_df["Date"] = pd.to_datetime(power_df["Date"],infer_datetime_format=False) + hour_deltas

alex9green commented 1 month ago

Could not infer format, so each element will be parsed individually, falling back to dateutil. To ensure parsing is consistent and as-expected, please specify a format. UserWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument. Traceback (most recent call last): File "/home/delta/hplib/heat-pump-dashboard/datasource.py", line 78, in print(fetch_all("DE", 81829, "2020-01-01", "2022-01-02", "Somm")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/delta/hplib/heat-pump-dashboard/datasource.py", line 59, in fetch_all df = temperatures.load_TRY(TRY_dataset).rename( ^^^^^^^^^^^^^^^^^^^^^ AttributeError: module 'temperatures' has no attribute 'load_TRY'

alex9green commented 1 month ago

trydf["Date"] = pd.to_datetime( dict( year=trydf["year"], month=trydf["MM"], day=trydf["DD"], hour=trydf["HH"] ), format="%Y-%m-%d %H:%M:%S" )

alex9green commented 1 month ago

we don`t have this folders ....no update informations csv missing

hplib_database.py

THIS_FOLDER_PATH + "/../input/csv/" + filename + ".csv"

df = pd.read_csv("../output/database_reduced.csv")

df = pd.read_csv("data/hplib_database.csv", delimiter=",")

"https://www.heatpumpkeymark.com/?type=109126").content, "html.parser", we need update models