Range Slider and Selector in Python
Now you can implement range sliders and selectors in your Plotly graphs purely with python!
New to Plotly?¶
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We also have a quick-reference cheatsheet (new!) to help you get started!
Version Check¶
Note: range sliders and range selectors are available in version 1.9.7+
Run pip install plotly --upgrade to update your Plotly version
In [1]:
import plotly
plotly.__version__
Out[1]:
Basic Range Slider and Range Selectors¶
Note this example works with version 0.5.0 of pandas_datareader. Run pip install --upgrade pandas_datareader to ensure you are using the right version of the module.
In [2]:
import plotly.plotly as py
import plotly.graph_objs as go
from datetime import datetime
import pandas_datareader.data as web
df = web.DataReader("aapl", 'yahoo',
datetime(2007, 10, 1),
datetime(2009, 4, 1))
trace = go.Scatter(x=list(df.index),
y=list(df.High))
data = [trace]
layout = dict(
title='Time series with range slider and selectors',
xaxis=dict(
rangeselector=dict(
buttons=list([
dict(count=1,
label='1m',
step='month',
stepmode='backward'),
dict(count=6,
label='6m',
step='month',
stepmode='backward'),
dict(count=1,
label='YTD',
step='year',
stepmode='todate'),
dict(count=1,
label='1y',
step='year',
stepmode='backward'),
dict(step='all')
])
),
rangeslider=dict(),
type='date'
)
)
fig = dict(data=data, layout=layout)
py.iplot(fig)
Out[2]:
Range Slider with Vertically Stacked Subplots¶
In [3]:
import plotly.plotly as py
import plotly.graph_objs as go
trace1 = go.Scatter(
x = ["2013-01-15", "2013-01-29", "2013-02-26", "2013-04-19", "2013-07-02", "2013-08-27",
"2013-10-22", "2014-01-20", "2014-05-05", "2014-07-01", "2015-02-09", "2015-04-13",
"2015-05-13", "2015-06-08", "2015-08-05", "2016-02-25"],
y = ["8", "3", "2", "10", "5", "5", "6", "8", "3", "3", "7", "5", "10", "10", "9", "14"],
name = "var0",
text = ["8", "3", "2", "10", "5", "5", "6", "8", "3", "3", "7", "5", "10", "10", "9", "14"],
yaxis = "y",
)
trace2 = go.Scatter(
x = ["2015-04-13", "2015-05-13", "2015-06-08", "2015-08-05", "2016-02-25"],
y = ["53.0", "69.0", "89.0", "41.0", "41.0"],
name = "var1",
text = ["53.0", "69.0", "89.0", "41.0", "41.0"],
yaxis = "y2",
)
trace3 = go.Scatter(
x = ["2013-01-29", "2013-02-26", "2013-04-19", "2013-07-02", "2013-08-27", "2013-10-22",
"2014-01-20", "2014-04-09", "2014-05-05", "2014-07-01", "2014-09-30", "2015-02-09",
"2015-04-13", "2015-06-08", "2016-02-25"],
y = ["9.6", "4.6", "2.7", "8.3", "18", "7.3", "3", "7.5", "1.0", "0.5", "2.8", "9.2",
"13", "5.8", "6.9"],
name = "var2",
text = ["9.6", "4.6", "2.7", "8.3", "18", "7.3", "3", "7.5", "1.0", "0.5", "2.8", "9.2",
"13", "5.8", "6.9"],
yaxis = "y3",
)
trace4 = go.Scatter(
x = ["2013-01-29", "2013-02-26", "2013-04-19", "2013-07-02", "2013-08-27", "2013-10-22",
"2014-01-20", "2014-04-09", "2014-05-05", "2014-07-01", "2014-09-30", "2015-02-09",
"2015-04-13", "2015-06-08", "2016-02-25"],
y = ["6.9", "7.5", "7.3", "7.3", "6.9", "7.1", "8", "7.8", "7.4", "7.9", "7.9", "7.6",
"7.2", "7.2", "8.0"],
name = "var3",
text = ["6.9", "7.5", "7.3", "7.3", "6.9", "7.1", "8", "7.8", "7.4", "7.9", "7.9", "7.6",
"7.2", "7.2", "8.0"],
yaxis = "y4",
)
trace5 = go.Scatter(
x = ["2013-02-26", "2013-07-02", "2013-09-26", "2013-10-22", "2013-12-04", "2014-01-02",
"2014-01-20", "2014-05-05", "2014-07-01", "2015-02-09", "2015-05-05"],
y = ["290", "1078", "263", "407", "660", "740", "33", "374", "95", "734", "3000"],
name = "var4",
text = ["290", "1078", "263", "407", "660", "740", "33", "374", "95", "734", "3000"],
yaxis = "y5",
)
data = go.Data([trace1, trace2, trace3, trace4, trace5])
# style all the traces
for k in range(len(data)):
data[k].update(
{
"type": "scatter",
"hoverinfo": "name+x+text",
"line": {"width": 0.5},
"marker": {"size": 8},
"mode": "lines+markers",
"showlegend": False
}
)
layout = {
"annotations": [
{
"x": "2013-06-01",
"y": 0,
"arrowcolor": "rgba(63, 81, 181, 0.2)",
"arrowsize": 0.3,
"ax": 0,
"ay": 30,
"text": "state1",
"xref": "x",
"yanchor": "bottom",
"yref": "y"
},
{
"x": "2014-09-13",
"y": 0,
"arrowcolor": "rgba(76, 175, 80, 0.1)",
"arrowsize": 0.3,
"ax": 0,
"ay": 30,
"text": "state2",
"xref": "x",
"yanchor": "bottom",
"yref": "y"
}
],
"dragmode": "zoom",
"hovermode": "x",
"legend": {"traceorder": "reversed"},
"margin": {
"t": 100,
"b": 100
},
"shapes": [
{
"fillcolor": "rgba(63, 81, 181, 0.2)",
"line": {"width": 0},
"type": "rect",
"x0": "2013-01-15",
"x1": "2013-10-17",
"xref": "x",
"y0": 0,
"y1": 0.95,
"yref": "paper"
},
{
"fillcolor": "rgba(76, 175, 80, 0.1)",
"line": {"width": 0},
"type": "rect",
"x0": "2013-10-22",
"x1": "2015-08-05",
"xref": "x",
"y0": 0,
"y1": 0.95,
"yref": "paper"
}
],
"xaxis": {
"autorange": True,
"range": ["2012-10-31 18:36:37.3129", "2016-05-10 05:23:22.6871"],
"rangeslider": {
"autorange": True,
"range": ["2012-10-31 18:36:37.3129", "2016-05-10 05:23:22.6871"]
},
"type": "date"
},
"yaxis": {
"anchor": "x",
"autorange": True,
"domain": [0, 0.2],
"linecolor": "#673ab7",
"mirror": True,
"range": [-60.0858369099, 28.4406294707],
"showline": True,
"side": "right",
"tickfont": {"color": "#673ab7"},
"tickmode": "auto",
"ticks": "",
"titlefont": {"color": "#673ab7"},
"type": "linear",
"zeroline": False
},
"yaxis2": {
"anchor": "x",
"autorange": True,
"domain": [0.2, 0.4],
"linecolor": "#E91E63",
"mirror": True,
"range": [29.3787777032, 100.621222297],
"showline": True,
"side": "right",
"tickfont": {"color": "#E91E63"},
"tickmode": "auto",
"ticks": "",
"titlefont": {"color": "#E91E63"},
"type": "linear",
"zeroline": False
},
"yaxis3": {
"anchor": "x",
"autorange": True,
"domain": [0.4, 0.6],
"linecolor": "#795548",
"mirror": True,
"range": [-3.73690396239, 22.2369039624],
"showline": True,
"side": "right",
"tickfont": {"color": "#795548"},
"tickmode": "auto",
"ticks": "",
"title": "mg/L",
"titlefont": {"color": "#795548"},
"type": "linear",
"zeroline": False
},
"yaxis4": {
"anchor": "x",
"autorange": True,
"domain": [0.6, 0.8],
"linecolor": "#607d8b",
"mirror": True,
"range": [6.63368032236, 8.26631967764],
"showline": True,
"side": "right",
"tickfont": {"color": "#607d8b"},
"tickmode": "auto",
"ticks": "",
"title": "mmol/L",
"titlefont": {"color": "#607d8b"},
"type": "linear",
"zeroline": False
},
"yaxis5": {
"anchor": "x",
"autorange": True,
"domain": [0.8, 1],
"linecolor": "#2196F3",
"mirror": True,
"range": [-685.336803224, 3718.33680322],
"showline": True,
"side": "right",
"tickfont": {"color": "#2196F3"},
"tickmode": "auto",
"ticks": "",
"title": "mg/Kg",
"titlefont": {"color": "#2196F3"},
"type": "linear",
"zeroline": False
}
}
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)
Out[3]:
Reference¶
See https://plot.ly/python/reference/#layout-xaxis-rangeselector
and https://plot.ly/python/reference/#layout-xaxis-rangeslider
for more information and attribute options!