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bingroup #200

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bingroup
Nov 13, 2019
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minor revisions
Nov 14, 2019
98ec7f7
fixing code
Nov 14, 2019
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28 changes: 26 additions & 2 deletions python/2D-Histogram.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.1'
jupytext_version: 1.1.1
jupytext_version: 1.2.1
kernelspec:
display_name: Python 3
language: python
Expand All @@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.6.7
version: 3.7.3
plotly:
description: How to make 2D Histograms in Python with Plotly.
display_as: statistical
Expand Down Expand Up @@ -71,6 +71,30 @@ fig = go.Figure(go.Histogram2d(x=x, y=y, histnorm='probability',
fig.show()
```

### 2D Histogram Share Binning
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Sharing bin settings between 2D Histograms

This example shows how to use [bingroup](https://plot.ly/python/reference/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis seperatly, set [ybins](https://plot.ly/python/reference/#histogram2dcontour-ybins) and `xbins`.

```python
import plotly.graph_objects as go
from plotly.subplots import make_subplots

fig = make_subplots(1,2)

fig.add_trace(go.Histogram2d(
x = [ 1, 2, 2, 3, 4 ],
y = [ 1, 2, 2, 3, 4 ],
bingroup = 1,
xbins = {'start':1, 'size':1}), 1,1)

fig.add_trace(go.Histogram2d(
x = [ 4, 5, 5, 5, 6 ],
y = [ 4, 5, 5, 5, 6 ],
bingroup = 1,
ybins = {'start': 3, 'size': 1}),1,2)

fig.show()
```

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It could be interesting to show the behaviour with and without bingroup, for example

import plotly.graph_objects as go
from plotly.subplots import make_subplots
fig = make_subplots(2,2)
fig.add_trace(go.Histogram2d(
    x = [ 1, 2, 2, 3, 4 ],
    y = [ 1, 2, 2, 3, 4 ],
    #bingroup = 1,
    xbins = {'start':1, 'size':1}), 1,1)
fig.add_trace(go.Histogram2d(
    x = [ 4, 5, 5, 5, 6 ],
    y = [ 4, 5, 5, 5, 6 ],
    #bingroup = 1,
    ybins = {'start': 3, 'size': 1}),1,2)
fig.add_trace(go.Histogram2d(
    x = [ 1, 2, 2, 3, 4 ],
    y = [ 1, 2, 2, 3, 4 ],
    bingroup = 1,
    xbins = {'start':1, 'size':1}), 2,1)
fig.add_trace(go.Histogram2d(
    x = [ 4, 5, 5, 5, 6 ],
    y = [ 4, 5, 5, 5, 6 ],
    bingroup = 1,
    ybins = {'start': 3, 'size': 1}),2,2)
fig.show()

### 2D Histogram Overlaid with a Scatter Chart ###

```python
Expand Down
38 changes: 30 additions & 8 deletions python/histograms.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.1'
jupytext_version: 1.1.1
jupytext_version: 1.2.1
kernelspec:
display_name: Python 3
language: python
Expand All @@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.6.7
version: 3.7.3
plotly:
description: How to make Histograms in Python with Plotly.
display_as: statistical
Expand Down Expand Up @@ -297,27 +297,27 @@ x = ['1970-01-01', '1970-01-01', '1970-02-01', '1970-04-01', '1970-01-02',
fig = make_subplots(rows=3, cols=2)

trace0 = go.Histogram(x=x, nbinsx=4)
trace1 = go.Histogram(x=x, nbinsx = 8)
trace1 = go.Histogram(x=x, nbinsx=8)
trace2 = go.Histogram(x=x, nbinsx=10)
trace3 = go.Histogram(x=x,
trace3 = go.Histogram(x=x,bingroup=1,
xbins=dict(
start='1969-11-15',
end='1972-03-31',
size='M18'), # M18 stands for 18 months
autobinx=False

)
trace4 = go.Histogram(x=x,
trace4 = go.Histogram(x=x,bingroup=1,
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I don't understand why you define here a bingroup since the different traces have a different bin size. Also, please remove all the autobinx and autobiny from this tutorial since these parameters are described as obsolete in the doc.

xbins=dict(
start='1969-11-15',
end='1972-03-31',
size='M4'), # 4 months bin size
autobinx=False

)
trace5 = go.Histogram(x=x,
xbins=dict(
start='1969-11-15',
end='1972-03-31',
size= 'M2'), # 2 months
size='M2'), # 2 months
autobinx = False
)

Expand All @@ -331,6 +331,28 @@ fig.append_trace(trace5, 3, 2)
fig.show()
```

### Share Binning
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Share bins between histograms

In this example both histograms have a compatible bin settings using [bingroup](https://plot.ly/python/reference/#histogram-bingroup) attribute.
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Could you add here a comment saying that histograms in the same subplot are forced into the same default to barmode stack, relative or group, but not for overlay?


```python
import plotly.graph_objects as go
import numpy as np

fig = go.Figure(go.Histogram(
x=np.random.randint(7, size=100),
bingroup=1))

fig.add_trace(go.Histogram(
x=np.random.randint(7, size=20),
bingroup=1))

fig.update_layout(
barmode="overlay",
bargap=0.1)

fig.show()
```

### Dash Example


Expand Down