A biblioteca data profiler instala com alguns erros e quando vou executar a função dá erro. Estou usando o próprio google colab e o notebook da aula.
Os erros na instalação são:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
shap 0.50.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.
tensorstore 0.1.81 requires ml_dtypes>=0.5.0, but you have ml-dtypes 0.4.1 which is incompatible.
grpcio-status 1.71.2 requires protobuf<6.0dev,>=5.26.1, but you have protobuf 4.25.8 which is incompatible.
opentelemetry-proto 1.38.0 requires protobuf<7.0,>=5.0, but you have protobuf 4.25.8 which is incompatible.
xarray-einstats 0.10.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
opencv-contrib-python 4.13.0.92 requires numpy>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible.
tobler 0.13.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
tf-keras 2.19.0 requires tensorflow<2.20,>=2.19, but you have tensorflow 2.17.1 which is incompatible.
jaxlib 0.7.2 requires ml_dtypes>=0.5.0, but you have ml-dtypes 0.4.1 which is incompatible.
jaxlib 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
keras-hub 0.21.1 requires keras>=3.5, but you have keras 3.4.0 which is incompatible.
ydf 0.15.0 requires protobuf<7.0.0,>=5.29.1, but you have protobuf 4.25.8 which is incompatible.
tensorflow-text 2.19.0 requires tensorflow<2.20,>=2.19.0, but you have tensorflow 2.17.1 which is incompatible.
rasterio 1.5.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.
opencv-python 4.13.0.92 requires numpy>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible.
pytensor 2.38.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
grain 0.2.16 requires protobuf>=5.28.3, but you have protobuf 4.25.8 which is incompatible.
tensorflow-decision-forests 1.12.0 requires tensorflow==2.19.0, but you have tensorflow 2.17.1 which is incompatible.
jax 0.7.2 requires ml_dtypes>=0.5.0, but you have ml-dtypes 0.4.1 which is incompatible.
jax 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
opencv-python-headless 4.13.0.92 requires numpy>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible
