@Al IDI​ :

It is possible that there are some compatibility issues between the current version of Databricks and the new version of Pandas. You may need to wait for an update or patch from Databricks to address this issue. In the meantime, you can continue using Pandas version 1.5.3, or try downgrading to a different version that is compatible with Databricks. You can also try using a different method to load the data, such as spark.createDataFrame(), or spark.read.format() to read the data directly into a Spark DataFrame and then convert it to a Pandas DataFrame.