why does python dataFrames' are localted only in the same machine?
For example, pandas DataFrame is not distributed.
The statements say that the DataFrame is not unique, there were several DataFrame concepts. Even though there are many concepts, the spark DataFrame is the distributed one, but the others, i.e. python and R are not.
It does not mean for the pyspark DataFrame.
I'm reading spark the definitive guide in which it is said :

Python/R DataFrames exist on one machine rather than multiple machines... this limits what you can do with a given DataFrame to resources that exist on that specific machine..

therefore, I wonder why Python's dataFrame can't spand to multiple machines ? and if that means that python's are not distributed ?
Update
does Python/R have an equivalent distributed DataFrame like Spark scala/java??DataFrame