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Add support for databricks notebook #10
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Supported in PR #19 , and pre-released in |
Asm-Def
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- Tested with Hex, mentioned in [#29 ](#29 (comment)) - Tested with Databricks, mentioned in [#10 ](#10 (comment)) - Tested with Jupyter Extension for VSCode, mentioned in [#21 ](#21) - Supported with HTTP Servers to show data on web requests, mentioned in [#24 ](#24)
ObservedObserver
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- Tested with Hex, mentioned in [#29 ](#29 (comment)) - Tested with Databricks, mentioned in [#10 ](#10 (comment)) - Tested with Jupyter Extension for VSCode, mentioned in [#21 ](#21) - Supported with HTTP Servers to show data on web requests, mentioned in [#24 ](#24)
I just tried this out (cool package!), and found the following. In Databricks cluster DBR version 11+, this works as long as strict sandboxing is turned off, as indicated in #10 (comment): import pandas as pd
import pygwalker as pyg
iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')
pyg.walk(iris) For Databricks cluster DBR version 10.4, this seems to work: import pandas as pd
import pygwalker as pyg
iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')
displayHTML(pyg.walk(iris, return_html=True)) |
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What would it take to bring this to Databricks Notebooks ?
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