Upgrade base image to m75 (#1048)

* Upgrade base image to m75

* Loosen version restrictions

- Remove version pin for pyproj
- Use matplotlib version from base image
- Install python-igraph from pip instead of conda

Author: rosbo

Dockerfile

@@ -1,4 +1,4 @@
-ARG BASE_TAG=m73
+ARG BASE_TAG=m75
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
@@ -45,12 +45,12 @@ RUN conda config --add channels conda-forge && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
     # b/182405233 pyproj 3.x is not compatible with basemap 1.2.1
     # b/161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
-    conda install matplotlib basemap cartopy python-igraph imagemagick "pyproj=2.6" "pysal==2.1.0" && \
+    conda install basemap cartopy imagemagick pyproj "pysal==2.1.0" && \
     conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
-RUN pip install seaborn python-dateutil dask && \
+RUN pip install seaborn python-dateutil dask python-igraph && \
     pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
     # Install h2o from source.