Hi guys! Can anyone help me with the question abov...
# statsforecast
t
Hi guys! Can anyone help me with the question above please? I'm afraid that this problem turn my tool impratctible.👆👆👆👆👆
f
hey @Thiago Vidigal! Thank you for using statsforecast ❤️ We tested the notebook and data you shared but couldn’t reproduce the error. Could you provide more information on your OS, python version, and libraries’ version? Here’s the colab notebook that replicates your notebook: https://colab.research.google.com/drive/1fsTfingvENHCyT1yeONmr5o84OfGR7D2?usp=sharing
This message contains interactive elements.
t
HI @fede (nixtla) (they/them) thank's for helping me. I'm using windows 10, Python 3.10.11 and all this libraries in my enviroment: adagio==0.2.4 aiohttp==3.8.4 aiosignal==1.3.1 ansi2html==1.8.0 antlr4-python3-runtime==4.11.1 appdirs==1.4.4 asttokens==2.2.1 async-timeout==4.0.2 attrs==22.2.0 backcall==0.2.0 certifi==2022.12.7 charset-normalizer==3.1.0 click==8.1.3 colorama==0.4.6 comm==0.1.3 contourpy==1.0.7 cycler==0.11.0 dash==2.9.2 dash-core-components==2.0.0 dash-html-components==2.0.0 dash-table==5.0.0 datasetsforecast==0.0.8 debugpy==1.6.7 decorator==5.1.1 executing==1.2.0 Flask==2.2.3 fonttools==4.39.3 frozenlist==1.3.3 fs==2.4.16 fugue==0.8.3 fugue-sql-antlr==0.1.6 hierarchicalforecast==0.3.0 idna==3.4 ipykernel==6.22.0 ipython==8.12.0 ipywidgets==8.0.6 itsdangerous==2.1.2 jedi==0.18.2 Jinja2==3.1.2 joblib==1.2.0 jupyter-dash==0.4.2 jupyter_client==8.1.0 jupyter_core==5.3.0 jupyterlab-widgets==3.0.7 kiwisolver==1.4.4 llvmlite==0.40.1rc1 MarkupSafe==2.1.2 matplotlib==3.7.1 matplotlib-inline==0.1.6 multidict==6.0.4 nest-asyncio==1.5.6 numba==0.57.0 numpy==1.23.5 orjson==3.8.9 packaging==23.0 pandas==1.5.3 parso==0.8.3 patsy==0.5.3 pickleshare==0.7.5 Pillow==9.5.0 platformdirs==3.2.0 plotly==5.14.1 plotly-resampler==0.8.3.2 prompt-toolkit==3.0.38 psutil==5.9.4 pure-eval==0.2.2 py4j==0.10.9.7 pyarrow==11.0.0 Pygments==2.14.0 pyparsing==3.0.9 python-dateutil==2.8.2 pytz==2023.3 pywin32==306 pyzmq==25.0.2 qpd==0.4.0 quadprog==0.1.11 requests==2.28.2 retrying==1.3.4 scikit-learn==1.2.2 scipy==1.10.1 six==1.16.0 sqlglot==11.5.1 stack-data==0.6.2 statsforecast==1.5.0 statsmodels==0.13.5 tenacity==8.2.2 threadpoolctl==3.1.0 tornado==6.2 tqdm==4.65.0 trace-updater==0.0.9.1 traitlets==5.9.0 triad==0.8.4 urllib3==1.26.15 wcwidth==0.2.6 Werkzeug==2.2.3 widgetsnbextension==4.0.7 xlrd==2.0.1 XlsxWriter==3.0.9 yarl==1.8.2
@fede (nixtla) (they/them) I've looked you environment and copy your pip install command "pip install statsforecast hierarchicalforecast datasetsforecast", with this command and a "--force-reinstall" now it works here to. I'm really glad for your help, thank you
f
Glad to hear that, @Thiago Vidigal! Let us know if we can help you with something else