# Overlayed histograms with no fill color

**URL:** <https://community.plotly.com/t/overlayed-histograms-with-no-fill-color/80096>\
**Category:** 📊 Plotly Python\
**Created:** [November 13, 2023, 8:36pm UTC](https://community.plotly.com/t/overlayed-histograms-with-no-fill-color/80096 "2023-11-13T20:36:29Z")\
**Posts on this page:** 1\
**Showing post:** 2

<div class="post-metadata">

**Author:** ![AIMPED](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/aimped/32/21758_2.png) [@AIMPED](https://community.plotly.com/u/AIMPED)\
**Post date:** [November 13, 2023, 9:09pm UTC](https://community.plotly.com/t/overlayed-histograms-with-no-fill-color/80096/2 "2023-11-13T21:09:23Z")

</div>

Could you create a [MRE](https://community.plotly.com/t/how-to-write-a-minimal-reproducible-example-mre/61502/) for that?

I assume, the example from the bar-charts could be helpful:

> **[Bar](https://plotly.com/python/bar-charts/)**
>
> Over 32 examples of Bar Charts including changing color, size, log axes, and more in Python.

Adapted:

```python
import plotly.graph_objects as go

x = ['Product A', 'Product B', 'Product C']
y = [20, 14, 23]

# Use the hovertext kw argument for hover text
fig = go.Figure(data=[go.Bar(x=x, y=y,
            hovertext=['27% market share', '24% market share', '19% market share'])])
# Customize aspect
fig.update_traces(
    marker_color='rgba(158,202,225,0.0)', 
    # ^^ use a rgab string for the fillcolor and set the opacity to 0
    marker_line_color='rgb(8,48,107)',
    marker_line_width=3.0, 
)
fig.update_layout(title_text='January 2013 Sales Report')
fig.show()

```

 ![newplot(3)](https://us1.discourse-cdn.com/flex024/uploads/plot/original/3X/c/7/c744504e18267b9b38d3b6997d7d75af37d9109b.png)

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