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Merged
merged 6 commits into from
Jun 21, 2019
Merged

[MRG] histogram nb #2

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584c0fd
first pass at histogram nb
emmanuelle Jun 8, 2019
8d49d2d
removed v4 flag
emmanuelle Jun 8, 2019
f9ee8b1
addressed comments
emmanuelle Jun 12, 2019
a15e562
some inlining
emmanuelle Jun 14, 2019
4d285ae
plotly.express
emmanuelle Jun 16, 2019
862c310
graph_objects, update_layout
emmanuelle Jun 20, 2019
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some inlining
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@emmanuelle
emmanuelle committed Jun 14, 2019
commit a15e562b2cb08597a9f3f34a19c1317e0d378e36
63 changes: 35 additions & 28 deletions notebooks/histograms.md
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,16 @@ jupyter:
display_name: Python 3
language: python
name: python3
language_info:
codemirror_mode:
name: ipython
version: 3
file_extension: .py
mimetype: text/x-python
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.6.7
plotly:
description: How to make Histograms in Python with Plotly.
display_as: statistical
Expand All @@ -25,6 +35,7 @@ jupyter:
redirect_from: /python/histogram-tutorial/
thumbnail: thumbnail/histogram.jpg
title: Python Histograms | plotly
v4upgrade: true
---

## Histogram with plotly express
Expand Down Expand Up @@ -134,9 +145,8 @@ import plotly.graph_objs as go
import numpy as np

x = np.random.randn(500)
data = [go.Histogram(x=x, histnorm='probability')]
fig = go.Figure(data=[go.Histogram(x=x, histnorm='probability')])

fig = go.Figure(data=data)
fig.show()
```

Expand All @@ -149,9 +159,8 @@ import numpy as np

y = np.random.randn(500)
# Use `y` argument instead of `x` for horizontal histogram
data = [go.Histogram(y=y)]

fig = go.Figure(data=data)
fig = go.Figure(data=[go.Histogram(y=y)])
fig.show()
```

Expand All @@ -166,10 +175,10 @@ x0 = np.random.randn(500)
# Add 1 to shift the mean of the Gaussian distribution
x1 = np.random.randn(500) + 1

trace0 = go.Histogram(x=x0)
trace1 = go.Histogram(x=x1)
fig = go.Figure()
fig.add_trace(go.Histogram(x=x0))
fig.add_trace(go.Histogram(x=x1))

fig = go.Figure(data=[trace0, trace1])
# Overlay both histograms
fig.update(layout_barmode='overlay')
# Reduce opacity to see both histograms
Expand All @@ -186,10 +195,10 @@ import numpy as np
x0 = np.random.randn(2000)
x1 = np.random.randn(2000) + 1

trace0 = go.Histogram(x=x0)
trace1 = go.Histogram(x=x1)
fig = go.Figure()
fig.add_trace(go.Histogram(x=x0))
fig.add_trace(go.Histogram(x=x1))

fig = go.Figure(data=[trace0, trace1])
# The two histograms are drawn on top of another
fig.update(layout_barmode='stack')
```
Expand All @@ -203,7 +212,8 @@ import numpy as np
x0 = np.random.randn(500)
x1 = np.random.randn(500) + 1

trace0 = go.Histogram(
fig = go.Figure()
fig.add_trace(go.Histogram(
x=x0,
histnorm='percent',
name='control', # name used in legend and hover labels
Expand All @@ -214,8 +224,8 @@ trace0 = go.Histogram(
),
marker_color='#EB89B5',
opacity=0.75
)
trace1 = go.Histogram(
))
fig.add_trace(go.Histogram(
x=x1,
histnorm='percent',
name='experimental',
Expand All @@ -226,16 +236,16 @@ trace1 = go.Histogram(
),
marker_color='#330C73',
opacity=0.75
)
))

layout = go.Layout(
fig.update(layout=go.Layout(
title='Sampled Results', # title of plot
xaxis_title='Value', # xaxis label
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reading this reminds me that we should use the new-style title object instead of string: https://github.com/plotly/plotly.py-docs/issues/17

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OK, I will change this. However in px the argument is called title and not title_text should this be changed?

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I'm comfortable with px keeping title as it's designed to be a lighter-weight API :)

yaxis_title='Count', # yaxis label
bargap=0.2, # gap between bars of adjacent location coordinates
bargroupgap=0.1 # gap between bars of the same location coordinates
)
fig = go.Figure(data=[trace0, trace1], layout=layout)
))

fig.show()
```

Expand All @@ -247,9 +257,8 @@ import plotly.graph_objs as go
import numpy as np

x = np.random.randn(500)
data = [go.Histogram(x=x, cumulative_enabled=True)]
fig = go.Figure(data=[go.Histogram(x=x, cumulative_enabled=True)])

fig = go.Figure(data=data)
fig.show()
```

Expand All @@ -261,23 +270,21 @@ import plotly.graph_objs as go
x = ["Apples","Apples","Apples","Oranges", "Bananas"]
y = ["5","10","3","10","5"]

data = [
go.Histogram(
fig = go.Figure()
fig.add_trace(go.Histogram(
histfunc = "count",
y=y,
x=x,
name="count"
),
go.Histogram(
))
fig.add_trace(go.Histogram(
histfunc="sum",
y=y,
x=x,
name="sum"
)
]
))

fig = go.Figure(data=data)
fig
fig.show()
```

### Custom Binning
Expand All @@ -290,6 +297,7 @@ from plotly.subplots import make_subplots
x = ['1970-01-01', '1970-01-01', '1970-02-01', '1970-04-01', '1970-01-02',
'1972-01-31', '1970-02-13', '1971-04-19']

fig = make_subplots(rows=3, cols=2)

trace0 = go.Histogram(x=x, nbinsx=4)
trace1 = go.Histogram(x=x, nbinsx = 8)
Expand All @@ -316,7 +324,6 @@ trace5 = go.Histogram(x=x,
autobinx = False
)

fig = make_subplots(rows=3, cols=2)
fig.append_trace(trace0, 1, 1)
fig.append_trace(trace1, 1, 2)
fig.append_trace(trace2, 2, 1)
Expand Down