How can I implement the rangeslider buttons for numerical data, e.g. 1, 2, 3, … 10, instead of date data on the x-axis?
It all works well here with date data
import plotly.express as px
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/wind_speed_laurel_nebraska.csv')
fig = px.line(df, x='Time', y='10 Min Sampled Avg', title='10 Min Std Dev')
# Add range slider
fig.update_layout(
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(
visible=True
),
type="date"
)
)
fig.show()
but not here with numerical data (actually I would like have seconds on the x-axis). Just changed type="data" to type="linear"? The data that I used are here https://www.dropbox.com/s/u2dbj0tcqz8hfhi/test_excel_import_1.xlsx?dl=0
import plotly.graph_objs as go
import pandas as pd
#df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/wind_speed_laurel_nebraska.csv')
df = pd.read_excel('/Users/Jakob/Documents/python_notebooks/data/test_excel_import_1.xlsx')
fig = go.Figure([
go.Scatter(
name='Measurement 1',
x=df['Time'],
y=df['10 Min Sampled Avg'],
mode='markers+lines',
line=dict(color='rgba(255, 153, 255, 1)', width=1),
marker=dict(color='red', size=5),
showlegend=True
),
go.Scatter(
name='Upper Bound',
x=df['Time'],
y=df['10 Min Sampled Avg']+df['10 Min Std Dev'],
mode='lines',
marker=dict(color='orange'),
line=dict(width=0),
showlegend=False
),
go.Scatter(
name='Lower Bound',
x=df['Time'],
y=df['10 Min Sampled Avg']-df['10 Min Std Dev'],
marker=dict(color='orange'),
line=dict(width=0),
mode='lines',
fillcolor='rgba(255, 153, 255, 0.1)',
fill='tonexty',
showlegend=False
),
])
# Add range slider
fig.update_layout(
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(
visible=True
),
type="linear"
)
)
#fig.update_xaxes(range=[5, 10])
fig.update_layout(
yaxis_title='Wind speed (m/s)',
title='Continuous, variable value error bars',
hovermode="x", legend_traceorder='reversed', template='simple_white',
legend=dict(bordercolor='magenta', borderwidth=2, itemclick='toggle', itemsizing='constant', x=0.8)
)
fig.show()
