The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
NFL Big Data Bowl 2020 Kaggle - Read CSV chokes
The train.csv dataset read file using pandas, but when attempting to bring the dataset into RM, the import chokes. The message is shown below. I know that there are different parsers and they make assumptions about things, but anything jump out to you which could be handled via the parameters? Other methods in RM?
In some approaches I have seen, I am able to set the "number of rows to guess type" parameter, and I have gotten around these issues by setting the value extremely high. Using below, I would set the value much larger than 47984, which often results in a generic format but does enable me to start to manipulate the data from there.
Competition info here: https://www.kaggle.com/c/nfl-big-data-bowl-2020/data
In some approaches I have seen, I am able to set the "number of rows to guess type" parameter, and I have gotten around these issues by setting the value extremely high. Using below, I would set the value much larger than 47984, which often results in a generic format but does enable me to start to manipulate the data from there.
Competition info here: https://www.kaggle.com/c/nfl-big-data-bowl-2020/data
Tagged:
0
Best Answer
-
btibert
Member, University Professor Posts: 146 
Guru
For those who may stumble upon this (read: my future self), we have a variety of options that you can tweak and play around with to get you to place that may work for you.
3
