google-cloud-datalab

I am using Google Cloud Datalab for the first time to build a classifier for a Kaggle competition. But I am stuck trying to write a csv file containing the pre-processed training data to Cloud Storage using the google.datalab.storage API. The file contains strings with unicode characters which causes the write_stream to a Storage object to trigger the error: Failed to process HTTP response. Here is the simplified code only trying to write a single string: from google.datalab import Context import google.datalab.storage as storage project = Context.default().project_id bucket_name = project

I found the solution for reading a "single" csv file in a Datalab : How can i load my csv from google dataLab to a pandas data frame? But I wonder how I could read "multiple" csv files in Datalab . What I tried is like this : variable_list = ['IBM', 'SPY'] for variable in variable_list: file_path = "gs://chois-trader-bucket/data/" + variable + ".csv" %%storage read --object file_path --variable variable But this one failed because python variable is not compatible with magic command. How can I deal with multiple csv files effectively? You can use variables enclosed in braces. e.g) %storage

I'd like to execute a python notebook I'had created to data pre-processing inside another notebook related with data classification process. So the last notebook depends on the functions and execution provided by the first notebook. How could I do that at google cloud datalab environment? I do like to reuse the functions and variables used at the pre-processing notebook on the classification notebook. Thanks. The following should work: myNotebook = <relative path to notebook> %run $myNotebook or simply %run <relative path to notebook> Note: This does not work if you are running Datalab on