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Unsigned numpy uint64 unsupported #1155
Description
Hi, When I used a pandas array of uint64 on plotly, the numbers appear negative.
I know that they cannot be as i force the type to unsigned when i append:
tempDataFrame[YaxisIn].astype(np.uint64)
In this call:
traces.append(go.Scattergl(
x = tempDataFrame[XaxisIn],
y = tempDataFrame[YaxisIn].astype(np.uint64),
mode = 'markers',
marker = dict (line = dict(width = 1)),
name = database + "." + TablesIn + ".notUseful"
)
)
Activity
jonmmease commentedon Sep 3, 2018
Hi @suleimanmashini,
Please provide a full example that demonstrates the issue, with data and imports, formatted in a "fenced code block" https://www.google.com/url?sa=t&source=web&rct=j&url=https://help.github.com/articles/creating-and-highlighting-code-blocks/&ved=2ahUKEwjMq--AgJ_dAhWQl-AKHSQrCG4QFjAAegQICBAD&usg=AOvVaw297etkhd2-RtKM-CXyUZ9h.
Also please include the version of plotly.py you are using.
Thanks!
jonmmease commentedon Sep 6, 2018
Hi @suleimanmashini ,
Could you try again with plotly.py 3.2.0 (released yesterday)? When I run your example with this version I don't see this issue:
If that doens't fix it for you, can you post what version of numpy you have installed?
I did notice that trying to plot a figure with a
uint64array breaks theFigureWidgetserialization, so I'm going to mark this as a bug either way.Pandas datetime and numpy numeric array fixes
Pandas datetime and numpy numeric array fixes (#1163)
jonmmease commentedon Sep 8, 2018
The
FigureWidgetissue noted above has been fixed in #1163