Open repied opened 1 year ago
same issue in regular notebooks, triggered by using style
Same issue in regular jupyter notebook (with a smaller value to make it a valid int64
@amunger I'd leave this issue open as both the other issues applies to floats, and this applies to bigints
Large integer are incorrectly displayed in the data viewer
df =pd.DataFrame({'x':[400000000000000000001]})
Environment data
Expected behaviour
We should see![image](https://user-images.githubusercontent.com/15749663/212070633-de31837e-2cbc-46c8-bad7-7a0e66a2339b.png)
400000000000000000001
as in the interactive windowActual behaviour
We see![image](https://user-images.githubusercontent.com/15749663/212070775-e05b8bcf-82f3-4c51-bc16-244f07c38eac.png)
400000000000000000000
in the data viewerSteps to reproduce:
1 - type in a python interactive window :
df =pd.DataFrame({'x':[400000000000000000001]})
2 - open the JUPYTER:VARIABLES pane 3 - Click on the "Show variable snapshot in data viewer" icon neardf