google-cloud-datalab

问题 Access to data from Google Drive from ipython notebook in Google Datalab returns: Exception: accessDenied: Access Denied: BigQuery BigQuery: No OAuth token with Google Drive scope was found. Tried running gcloud config solution in bq cmd query Google Sheet Table occur "Access Denied: BigQuery BigQuery: No OAuth token with Google Drive scope was found" Error Solution does not work for datalab. Only other thing i can think of is that I have more than one Google ID (outside of this project), so

问题 I am using the %chart magic in DataLab to generate charts. I see in the samples that there are options that can be specified in the cell body to fine-tune these charts. Where do I find documentation on these? 回答1: The charts generated with %chart are using Google's chart tools (https://developers.google.com/chart/). The documentation there describes the options available for each chart. For example, the options for bubble charts are documented at https://developers.google.com/chart

问题 I am trying to read a csv file save in gs to a dataframe for analysis I have follow the following steps without success mybucket = storage.Bucket('bucket-name') data_csv = mybucket.object('data.csv') df = pd.read_csv(data_csv) this doesn't work since data_csv is not a path as expected by pd.read_csv I also tried %%gcs read --object $data_csv --variable data #result: %gcs: error: unrecognized arguments: Cloud Storage Object gs://path/to/file.csv How can I read my file for analysis do this?

问题 I use google cloud for a hpc project. I have multiple instances writing and reading from from the same persistent disk (mounted using sshfs). I want to analyze some data using Datalab, and I'm not sure how to mount the persistent disk from Datalab (which natively uses google storage). Should I just execute the mount as a bash command from within my notebook, or is there a more elegant way to set things up? Am I wrong sticking with persistent disks over google storage? 回答1: Yes, just use a %

问题 Datalab currently seems to be running 0.6.0. I wanted to update to version 0.8.0 I did: !pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64 I got: SSLError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:581) Storing debug log for failure in /root/.pip/pip.log How can I fix this? 回答1: It is not recommended to update packages which are installed in Datalab by default. This is to ensure that you do not break a

问题 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

问题 Trying to connect from a datalab notebook with PostgreSQL database hosted on Google Cloud SQL. Try both direct IP and instance connection ways but both give us an exception. direct connection URI: "{engine}://{user}:{password}@{host}:{port}/{database}" using gcloud sql connect "{engine}://{user}:{password}@/{database}?host=/cloudsql/{instance_connection_name}" both give us this exception: OperationalError: (psycopg2.OperationalError) could not connect to server: Connection timed out Is the

问题 following the getting started guide I attempt to create & connect to a datalab vm instance with the command: datalab create demo but I get the following pop-up: then, on ok-ing the error, connection broken Attempting to reconnect... in the command prompt Any idea how to have the keys generated a different way to allow me to connect? 回答1: As a workaround, you can try either running the datalab connect demo command from inside of Cloud Shell, or downgrading to version 153.0.0 of the Cloud SDK.

问题 Is it possible in Google Datalab to read pickle/joblib models from Google Storage using %%storage clause? This question relates to Is text the only content type for %%storage magic function in datalab 回答1: Run the following code in an otherwise empty cell: %%storage read --object <path-to-gcs-bucket>/my_pickle_file.pkl --variable test_pickle_var Then run following code: from io import BytesIO pickle.load(BytesIO(test_pickle_var)) I used the code below to upload a pandas DataFrame to Google

问题 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. 回答1: The following should work: myNotebook = <relative path to notebook> %run