Basic Bar
image.png
image.png
import plotly.express as px
data_canada = px.data.gapminder().query("country == 'Canada'")
data_canada.head()
fig = px.bar(data_canada, x='year', y='pop')
fig.show()
Bar chart with Layers
image.png
import plotly.express as px
import pandas as pd
long_df = pd.DataFrame({
"nation" : ["South Korea", "China", "Canada", "South Korea", "China", "Canada", "South Korea", "China", "Canada"],
"medal" : ["gold", "gold", "gold", "silver", "silver", "silver", "bronze", "bronze", "bronze"],
"count" : [24,10,9,13,15,12,11,8,12]
})
fig = px.bar(long_df, x="nation", y="count", color="medal", title="Long-Form Input")
fig.show()
Customize Color
image.png
image.png
import plotly.express as px
data = px.data.gapminder()
data_canada = data[data.country == 'Canada']
fig = px.bar(data_canada, x='year', y='pop',
hover_data=['lifeExp', 'gdpPercap'], color='lifeExp',
labels={'pop':'population of Canada'}, height=400)
fig.show()
Category as X
image.png
image.png
import plotly.express as px
df = px.data.tips()
df.head()
fig = px.bar(df, x="sex", y="total_bill", color='time')
fig.show()
image.png
Group mode
# Change the default stacking
import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="sex", y="total_bill",
color='smoker', barmode='group',
height=400)
fig.show()
Facetted subplots
image.png
import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="sex", y="total_bill", color="smoker", barmode="group",
facet_row="time", facet_col="day",
category_orders={"day": ["Thur", "Fri", "Sat", "Sun"],
"time": ["Lunch", "Dinner"]})
fig.show()
Bar with plotly go
image.png
import plotly.graph_objects as go
animals=['giraffes', 'orangutans', 'monkeys']
fig = go.Figure([go.Bar(x=animals, y=[20, 14, 23])])
fig.show()
image.png
import plotly.graph_objects as go
animals=['giraffes', 'orangutans', 'monkeys']
fig = go.Figure(data=[
go.Bar(name='SF Zoo', x=animals, y=[20, 14, 23]),
go.Bar(name='LA Zoo', x=animals, y=[12, 18, 29])
])
# Change the bar mode
fig.update_layout(barmode='group')
fig.show()
Stacked Bar Chart
image.png
import plotly.graph_objects as go
animals=['giraffes', 'orangutans', 'monkeys']
fig = go.Figure(data=[
go.Bar(name='SF Zoo', x=animals, y=[20, 14, 23]),
go.Bar(name='LA Zoo', x=animals, y=[12, 18, 29])
])
# Change the bar mode
fig.update_layout(barmode='stack')
fig.show()
Hover Text
image.png
import plotly.graph_objects as go
x = ['Product A', 'Product B', 'Product C']
y = [20, 14, 23]
# Use the hovertext kw argument for hover text
fig = go.Figure(data=[go.Bar(x=x, y=y,
hovertext=['27% market share', '24% market share', '19% market share'])])
# Customize aspect
fig.update_traces(marker_color='rgb(158,202,225)', marker_line_color='rgb(8,48,107)',
marker_line_width=1.5, opacity=0.6)
fig.update_layout(title_text='January 2013 Sales Report')
fig.show()
Direct Label
image.png
import plotly.graph_objects as go
x = ['Product A', 'Product B', 'Product C']
y = [20, 14, 23]
# Use textposition='auto' for direct text
fig = go.Figure(data=[go.Bar(
x=x, y=y,
text=y,
textposition='auto',
)])
fig.show()
Uniformtext
image.png
import plotly.express as px
df = px.data.gapminder().query("continent == 'Europe' and year == 2007 and pop > 2.e6")
fig = px.bar(df, y='pop', x='country', text='pop')
fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')
#fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')
fig.show()
Rotated Labels
image.png
import plotly.graph_objects as go
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
fig = go.Figure()
fig.add_trace(go.Bar(
x=months,
y=[20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17],
name='Primary Product',
marker_color='indianred'
))
fig.add_trace(go.Bar(
x=months,
y=[19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16],
name='Secondary Product',
marker_color='lightsalmon'
))
# Here we modify the tickangle of the xaxis, resulting in rotated labels.
fig.update_layout(barmode='group', xaxis_tickangle=-45)
fig.show()
Customize
image.png
import plotly.graph_objects as go
colors = ['lightslategray',] * 5
colors[1] = 'crimson'
fig = go.Figure(data=[go.Bar(
x=['Feature A', 'Feature B', 'Feature C',
'Feature D', 'Feature E'],
y=[20, 14, 23, 25, 22],
marker_color=colors # marker color can be a single color value or an iterable
)])
fig.update_layout(title_text='Least Used Feature')
### Customize Width
image.png
import plotly.graph_objects as go
fig = go.Figure(data=[go.Bar(
x=[1, 2, 3, 5.5, 10],
y=[10, 8, 6, 4, 2],
width=[0.8, 0.8, 0.8, 3.5, 4] # customize width here
)])
fig.show()
Bar !!!
image.png
import plotly.graph_objects as go
import numpy as np
labels = ["apples","oranges","pears","bananas"]
widths = np.array([10,20,20,50])
data = {
"South": [50,80,60,70],
"North": [50,20,40,30]
}
fig = go.Figure()
for key in data:
fig.add_trace(go.Bar(
name=key,
y=data[key],
x=np.cumsum(widths)-widths,
width=widths,
offset=0,
customdata=np.transpose([labels, widths*data[key]]),
texttemplate="%{y} x %{width} =<br>%{customdata[1]}",
textposition="inside",
textangle=0,
textfont_color="white",
hovertemplate="<br>".join([
"label: %{customdata[0]}",
"width: %{width}",
"height: %{y}",
"area: %{customdata[1]}",
])
))
fig.update_xaxes(
tickvals=np.cumsum(widths)-widths/2,
ticktext= ["%s<br>%d" % (l, w) for l, w in zip(labels, widths)]
)
fig.update_xaxes(range=[0,100])
fig.update_yaxes(range=[0,100])
fig.update_layout(
title_text="Marimekko Chart",
barmode="stack"
)
image.png
import plotly.graph_objects as go
years = ['2016','2017','2018']
fig = go.Figure()
fig.add_trace(go.Bar(x=years, y=[500, 600, 700],
base=[-500,-600,-700],
marker_color='crimson',
name='expenses'))
fig.add_trace(go.Bar(x=years, y=[300, 400, 700],
base=0,
marker_color='lightslategrey',
name='revenue'
))
fig.show()
image.png
import plotly.graph_objects as go
years = [1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,
2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012]
fig = go.Figure()
fig.add_trace(go.Bar(x=years,
y=[219, 146, 112, 127, 124, 180, 236, 207, 236, 263,
350, 430, 474, 526, 488, 537, 500, 439],
name='Rest of world',
marker_color='rgb(55, 83, 109)'
))
fig.add_trace(go.Bar(x=years,
y=[16, 13, 10, 11, 28, 37, 43, 55, 56, 88, 105, 156, 270,
299, 340, 403, 549, 499],
name='China',
marker_color='rgb(26, 118, 255)'
))
fig.update_layout(
title='US Export of Plastic Scrap',
xaxis_tickfont_size=14,
yaxis=dict(
title='USD (millions)',
titlefont_size=16,
tickfont_size=14,
),
legend=dict(
x=0,
y=1.0,
bgcolor='rgba(255, 255, 255, 0)',
bordercolor='rgba(255, 255, 255, 0)'
),
barmode='group',
bargap=0.15, # gap between bars of adjacent location coordinates.
bargroupgap=0.1 # gap between bars of the same location coordinate.
)
fig.show()
Relative Barmode
image.png
import plotly.graph_objects as go
x = [1, 2, 3, 4]
fig = go.Figure()
fig.add_trace(go.Bar(x=x, y=[1, 4, 9, 16]))
fig.add_trace(go.Bar(x=x, y=[6, -8, -4.5, 8]))
fig.add_trace(go.Bar(x=x, y=[-15, -3, 4.5, -8]))
fig.add_trace(go.Bar(x=x, y=[-1, 3, -3, -4]))
fig.update_layout(barmode='relative', title_text='Relative Barmode')
fig.show()
Sorted or Ordered Categories
image.png
This example shows how to customise sort ordering by defining categoryorder to "array" to derive the ordering from the attribute categoryarray.
import plotly.graph_objects as go
x=['b', 'a', 'c', 'd']
fig = go.Figure(go.Bar(x=x, y=[2,5,1,9], name='Montreal'))
fig.add_trace(go.Bar(x=x, y=[1, 4, 9, 16], name='Ottawa'))
fig.add_trace(go.Bar(x=x, y=[6, 8, 4.5, 8], name='Toronto'))
fig.update_layout(barmode='stack', xaxis={'categoryorder':'category ascending'})
fig.show()
image.png
import plotly.graph_objects as go
x=['b', 'a', 'c', 'd']
fig = go.Figure(go.Bar(x=x, y=[2,5,1,9], name='Montreal'))
fig.add_trace(go.Bar(x=x, y=[1, 4, 9, 16], name='Ottawa'))
fig.add_trace(go.Bar(x=x, y=[6, 8, 4.5, 8], name='Toronto'))
fig.update_layout(barmode='stack', xaxis={'categoryorder':'total descending'})
fig.show()
Multicategory Axis Type
image.png
import plotly.graph_objects as go
x = [
["BB+", "BB+", "BB+", "BB", "BB", "BB"],
[16, 17, 18, 16, 17, 18,]
]
fig = go.Figure()
fig.add_bar(x=x,y=[1,2,3,4,5,6])
fig.add_bar(x=x,y=[6,5,4,3,2,1])
fig.update_layout(barmode="relative")
fig.show()
网友评论