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Mar 6, 2020
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Update histograms.md #2242

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Update histograms.md
SylwiaOliwia2 Mar 3, 2020
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Update histograms.md
SylwiaOliwia2 Mar 6, 2020
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17 changes: 17 additions & 0 deletions doc/python/histograms.md
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Expand Up @@ -69,6 +69,23 @@ fig = px.histogram(df, x="total_bill", nbins=20)
fig.show()
```

#### Accessing the counts (y-axis) values

JavaScript calculates the y-axis (count) values on the fly in the browser, so it's not accessible in the `fig`. You can manually calculate it using `np.histogram`.

```python
import plotly.express as px
import numpy as np

df = px.data.tips()
# create the bins
counts, bins = np.histogram(df.total_bill, bins=range(0, 60, 5))
bins = 0.5 * (bins[:-1] + bins[1:])

fig = px.bar(x=bins, y=counts, labels={'x':'total_bill', 'y':'count'})
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`).
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