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Short summary of the bug. Please include the IODIDE version number where you found the bug - if you are just running locally (building for dev or prod) you can put MASTER
What I Did
Import some data from re:dash, use Python, run pd.DataFrame.from_records([dict(r) for r in dataset.query_result.data.rows]).dtypes in the console, and try and expand the resulting array
What I Expected
An array of the schema
What Happened
A value renderer encountered an error.
TypeError: l is null
in LM (created by XU)
in XU (created by o)
in o (created by mj)
in div (created by Context.Consumer)
in MessageBody (created by ej)
in div (created by Context.Consumer)
in MessageContainer (created by ej)
in ej (created by mj)
in mj (created by h)
in h (created by Ej)
in div (created by Ej)
in div (created by Ej)
in div (created by Ej)
in Ej (created by h)
in h (created by qj)
in div (created by c)
in c (created by h)
in h (created by qj)
in qj (created by h)
in h
in h
in t (created by h)
in h
Top level rep summary:
{"repType":"DEFAULT_REP","valueSummary":{"objType":"Array","size":4,"stringValue":"Array","isTruncated":false,"isExpandable":true,"DESC_TYPE":"ValueSummary"}}
(if applicable) notebook that reproduces bug
%% fetch
// Download the data from Redash and save it to a variable called "dataset"
json: dataset = https://sql.telemetry.mozilla.org/api/queries/64838/results.json?api_key=sdFEi2sErXflEDmuXlK8k6wArTE15z5cK1mBIO2r
js: https://cdnjs.cloudflare.com/ajax/libs/plotly.js/1.33.1/plotly-basic.min.js
%% py
# You can use Python, too! Just uncomment the code below.
from js import dataset
import pandas as pd
pd.DataFrame.from_records(
[dict(r) for r in dataset.query_result.data.rows]
).dtypes
The text was updated successfully, but these errors were encountered:
Short summary of the bug. Please include the IODIDE version number where you found the bug - if you are just running locally (building for dev or prod) you can put MASTER
What I Did
Import some data from re:dash, use Python, run
pd.DataFrame.from_records([dict(r) for r in dataset.query_result.data.rows]).dtypes
in the console, and try and expand the resulting arrayWhat I Expected
An array of the schema
What Happened
(if applicable) notebook that reproduces bug
The text was updated successfully, but these errors were encountered: