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Merged
merged 4 commits into from
Jun 22, 2019
Merged

[MRG] horizontal-bar-charts notebook #13

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e5d8c1e
horizontal-bar-charts notebook
emmanuelle Jun 12, 2019
72c04e0
addressed comments, added px example
emmanuelle Jun 13, 2019
915b907
plotly.express, graph_objects, update_layout
emmanuelle Jun 21, 2019
114b6e8
Merge branch 'master' into horizontal-bar
emmanuelle Jun 22, 2019
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plotly.express, graph_objects, update_layout
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@emmanuelle
emmanuelle committed Jun 21, 2019
commit 915b90722ce26b9657db0339aed7445b3b98f402
84 changes: 40 additions & 44 deletions notebooks/horizontal-bar-charts.md
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Expand Up @@ -48,7 +48,7 @@ Plotly express functions take as argument a tidy [pandas DataFrame](https://pand
#### Basic Horizontal Bar Chart with plotly express

```python
import plotly_express as px
import plotly.express as px
tips = px.data.tips()
fig = px.bar(tips, x="total_bill", y="day", orientation='h')
fig.show()
Expand All @@ -59,7 +59,7 @@ fig.show()
In this example a column is used to color the bars, and we add the information from other columns to the hover data.

```python
import plotly_express as px
import plotly.express as px
tips = px.data.tips()
fig = px.bar(tips, x="total_bill", y="sex", color='day', orientation='h',
hover_data=["tip", "size"],
Expand All @@ -70,29 +70,29 @@ fig.show()

### Horizontal Bar Chart with go.Bar

When data are not available as a tidy dataframe, you can use the more generic function `go.Bar` from `plotly.graph_objs`. All the options of `go.Bar` are documented in the reference https://plot.ly/python/reference/#bar
When data are not available as a tidy dataframe, you can use the more generic function `go.Bar` from `plotly.graph_objects`. All the options of `go.Bar` are documented in the reference https://plot.ly/python/reference/#bar


#### Basic Horizontal Bar Chart

```python
import plotly.graph_objs as go
import plotly.graph_objects as go

trace = go.Bar(
fig = go.Figure(go.Bar(
x=[20, 14, 23],
y=['giraffes', 'orangutans', 'monkeys'],
orientation='h')
orientation='h'))

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

### Colored Horizontal Bar Chart

```python
import plotly.graph_objs as go
import plotly.graph_objects as go

trace0 = go.Bar(
fig = go.Figure()
fig.add_trace(go.Bar(
y=['giraffes', 'orangutans', 'monkeys'],
x=[20, 14, 23],
name='SF Zoo',
Expand All @@ -101,8 +101,8 @@ trace0 = go.Bar(
color='rgba(246, 78, 139, 0.6)',
line=dict(color='rgba(246, 78, 139, 1.0)', width=3)
)
)
trace1 = go.Bar(
))
fig.add_trace(go.Bar(
y=['giraffes', 'orangutans', 'monkeys'],
x=[12, 18, 29],
name='LA Zoo',
Expand All @@ -111,16 +111,16 @@ trace1 = go.Bar(
color='rgba(58, 71, 80, 0.6)',
line=dict(color='rgba(58, 71, 80, 1.0)', width=3)
)
)
))

fig = go.Figure(data=[trace0, trace1])
fig.update(layout_barmode='stack')
fig.update_layout(barmode='stack')
fig.show()
```

### Color Palette for Bar Chart

```python
import plotly.graph_objs as go
import plotly.graph_objects as go

top_labels = ['Strongly<br>agree', 'Agree', 'Neutral', 'Disagree',
'Strongly<br>disagree']
Expand All @@ -140,12 +140,11 @@ y_data = ['The course was effectively<br>organized',
'my<br>ability to think critically about<br>the subject',
'I would recommend this<br>course to a friend']


traces = []
fig = go.Figure()

for i in range(0, len(x_data[0])):
for xd, yd in zip(x_data, y_data):
traces.append(go.Bar(
fig.add_trace(go.Bar(
x=[xd[i]], y=[yd],
orientation='h',
marker=dict(
Expand All @@ -154,7 +153,7 @@ for i in range(0, len(x_data[0])):
)
))

layout = go.Layout(
fig.update_layout(
xaxis=dict(
showgrid=False,
showline=False,
Expand Down Expand Up @@ -220,15 +219,15 @@ for yd, xd in zip(y_data, x_data):
showarrow=False))
space += xd[i]

layout.update(annotations=annotations)
fig = go.Figure(data=traces, layout=layout)
fig.update_layout(annotations=annotations)

fig.show()
```

### Bar Chart with Line Plot

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

import numpy as np
Expand All @@ -239,14 +238,17 @@ y_saving = [1.3586, 2.2623000000000002, 4.9821999999999997, 6.5096999999999996,
y_net_worth = [93453.919999999998, 81666.570000000007, 69889.619999999995,
78381.529999999999, 141395.29999999999, 92969.020000000004,
66090.179999999993, 122379.3]
x_saving = ['Japan', 'United Kingdom', 'Canada', 'Netherlands',
'United States', 'Belgium', 'Sweden', 'Switzerland']
x_net_worth = ['Japan', 'United Kingdom', 'Canada', 'Netherlands',
'United States', 'Belgium', 'Sweden', 'Switzerland'
]
trace0 = go.Bar(
x = ['Japan', 'United Kingdom', 'Canada', 'Netherlands',
'United States', 'Belgium', 'Sweden', 'Switzerland']


# Creating two subplots
fig = make_subplots(rows=1, cols=2, specs=[[{}, {}]], shared_xaxes=True,
shared_yaxes=False, vertical_spacing=0.001)

fig.append_trace(go.Bar(
x=y_saving,
y=x_saving,
y=x,
marker=dict(
color='rgba(50, 171, 96, 0.6)',
line=dict(
Expand All @@ -255,14 +257,16 @@ trace0 = go.Bar(
),
name='Household savings, percentage of household disposable income',
orientation='h',
)
trace1 = go.Scatter(
x=y_net_worth, y=x_net_worth,
), 1, 1)

fig.append_trace(go.Scatter(
x=y_net_worth, y=x,
mode='lines+markers',
line_color='rgb(128, 0, 128)',
name='Household net worth, Million USD/capita',
)
layout = dict(
), 1, 2)

fig.update_layout(
title='Household savings & net worth for eight OECD countries',
yaxis=dict(
showgrid=False,
Expand Down Expand Up @@ -306,7 +310,7 @@ y_s = np.round(y_saving, decimals=2)
y_nw = np.rint(y_net_worth)

# Adding labels
for ydn, yd, xd in zip(y_nw, y_s, x_saving):
for ydn, yd, xd in zip(y_nw, y_s, x):
# labeling the scatter savings
annotations.append(dict(xref='x2', yref='y2',
y=xd, x=ydn - 20000,
Expand All @@ -331,16 +335,8 @@ annotations.append(dict(xref='paper', yref='paper',
font=dict(family='Arial', size=10, color='rgb(150,150,150)'),
showarrow=False))

layout.update(annotations=annotations)

# Creating two subplots
fig = make_subplots(rows=1, cols=2, specs=[[{}, {}]], shared_xaxes=True,
shared_yaxes=False, vertical_spacing=0.001)

fig.append_trace(trace0, 1, 1)
fig.append_trace(trace1, 1, 2)
fig.update_layout(annotations=annotations)

fig.update(layout=layout)
fig.show()
```

Expand Down