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Commitfc44c19

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author
“mahdis-z”
committed
bingroup
1 parent5ceaaeb commitfc44c19

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2 files changed

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-10
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2 files changed

+56
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‎python/2D-Histogram.md

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@@ -6,7 +6,7 @@ jupyter:
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extension:.md
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format_name:markdown
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format_version:'1.1'
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jupytext_version:1.1.1
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jupytext_version:1.2.1
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kernelspec:
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display_name:Python 3
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language:python
@@ -20,7 +20,7 @@ jupyter:
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name:python
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nbconvert_exporter:python
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pygments_lexer:ipython3
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version:3.6.7
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version:3.7.3
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plotly:
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description:How to make 2D Histograms in Python with Plotly.
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display_as:statistical
@@ -71,6 +71,30 @@ fig = go.Figure(go.Histogram2d(x=x, y=y, histnorm='probability',
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fig.show()
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```
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###2D Histogram Share Binning
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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`.
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```python
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import plotly.graph_objectsas go
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from plotly.subplotsimport make_subplots
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fig= make_subplots(1,2)
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fig.add_trace(go.Histogram2d(
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x= [1,2,2,3,4 ],
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y= [1,2,2,3,4 ],
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bingroup=1,
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xbins= {'start':1,'size':1}),1,1)
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fig.add_trace(go.Histogram2d(
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x= [4,5,5,5,6 ],
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y= [4,5,5,5,6 ],
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bingroup=1,
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ybins= {'start':3,'size':1}),1,2)
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fig.show()
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```
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###2D Histogram Overlaid with a Scatter Chart ###
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```python

‎python/histograms.md

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extension:.md
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format_name:markdown
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format_version:'1.1'
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jupytext_version:1.1.1
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jupytext_version:1.2.1
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kernelspec:
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display_name:Python 3
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language:python
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name:python
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nbconvert_exporter:python
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pygments_lexer:ipython3
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version:3.6.7
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version:3.7.3
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plotly:
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description:How to make Histograms in Python with Plotly.
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display_as:statistical
@@ -297,27 +297,27 @@ x = ['1970-01-01', '1970-01-01', '1970-02-01', '1970-04-01', '1970-01-02',
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fig= make_subplots(rows=3,cols=2)
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trace0= go.Histogram(x=x,nbinsx=4)
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trace1= go.Histogram(x=x,nbinsx=8)
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trace1= go.Histogram(x=x,nbinsx=8)
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trace2= go.Histogram(x=x,nbinsx=10)
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trace3= go.Histogram(x=x,
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trace3= go.Histogram(x=x,bingroup=1,
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xbins=dict(
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start='1969-11-15',
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end='1972-03-31',
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size='M18'),# M18 stands for 18 months
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autobinx=False
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)
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trace4= go.Histogram(x=x,
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trace4= go.Histogram(x=x,bingroup=1,
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xbins=dict(
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start='1969-11-15',
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end='1972-03-31',
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size='M4'),# 4 months bin size
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autobinx=False
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)
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trace5= go.Histogram(x=x,
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xbins=dict(
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start='1969-11-15',
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end='1972-03-31',
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size='M2'),# 2 months
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size='M2'),# 2 months
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autobinx=False
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)
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@@ -331,6 +331,28 @@ fig.append_trace(trace5, 3, 2)
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fig.show()
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```
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###Share Binning
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In this example both histograms have a compatible bin settings using[bingroup](https://plot.ly/python/reference/#histogram-bingroup) attribute.
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```python
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import plotly.graph_objectsas go
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import numpyas np
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fig= go.Figure(go.Histogram(
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x=np.random.randint(7,size=100),
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bingroup=1))
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fig.add_trace(go.Histogram(
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x=np.random.randint(7,size=20),
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bingroup=1))
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fig.update_layout(
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barmode="overlay",
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bargap=0.1)
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fig.show()
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```
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###Dash Example
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