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Clarify histnorm description #2289

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May 4, 2020
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Clarify histnorm description #2289

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2 changes: 1 addition & 1 deletion doc/python/histograms.md
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Expand Up @@ -88,7 +88,7 @@ fig.show()

#### Type of normalization

The default mode is to represent the count of samples in each bin. With the `histnorm` argument, it is also possible to represent the percentage or fraction of samples in each bin (`histnorm='percent'` or `probability`), or a density histogram (the sum of bars is equal to 100, `density`), or a probability density histogram (sum equal to 1, `probability density`).
The default mode is to represent the count of samples in each bin. With the `histnorm` argument, it is also possible to represent the percentage or fraction of samples in each bin (`histnorm='percent'` or `probability`), or a density histogram (the sum of all bar areas equals the total number of sample points, `density`), or a probability density histogram (the sum of all bar areas equals 1, `probability density`).

```python
import plotly.express as px
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