问题
I'm trying to create a bar chart using plotly
.
The input data looks like:
In [7]: datag.ix[:,0].tolist()[1:6]
Out[7]: [2020.0, 5000.0, 6010.0, 6017.0, 6020.0]
and
In [8]:datag.ix[:,1].tolist()[1:6]
Out[8]:
[0.005178087393490427,
0.0014053668695097226,
0.3174139251746979,
0.006049724003653125,
0.24824287385322272]
and the code is
import plotly
import plotly.offline as offline
import plotly.plotly as py
import plotly.graph_objs as go
trace1 = go.Bar(
x=[str(x) for x in datag.ix[:,0].tolist()[1:6]],#datag.ix[:,0].tolist()[1:6],
y=datag.ix[:,1].tolist()[1:6],
name='travel'
)
data=[trace1]
layout= go.Layout(
barmode= 'stack',
title='Realization: 0, 0',
xaxis=dict(title='Model'),
yaxis=dict(title='Time (minutes)')
)
fig= go.Figure(data=data, layout=layout)
offline.plot(fig, image='png', filename='stacked-bar')
I get the following output:
However, the problem is I want to demonstrate the x-data just as strings
which I tried with x=[str(x) for x in datag.ix[:,0].tolist()[1:6]]
.
Can some one help me to figure out how?
回答1:
Plotly 'assumes' your data type, even if you provide strings. Setting type to categorical
for your xaxis
resp. yaxis
in layout
should do the trick.
import pandas as pd
import plotly.offline as offline
import plotly.plotly as py
import plotly.graph_objs as go
d = {'x': [None,
2020.0,
5000.0,
6010.0,
6017.0,
6020.0],
'y': [None,
0.005178087393490427,
0.0014053668695097226,
0.3174139251746979,
0.006049724003653125,
0.24824287385322272]}
datag = pd.DataFrame(data=d)
trace1 = go.Bar(
x=[str(x) for x in datag.ix[:,0].tolist()[1:6]],
y=datag.ix[:,1].tolist()[1:6],
name='travel')
data = [trace1]
layout = go.Layout(
barmode='stack',
title='Realization: 0, 0',
xaxis=dict(title='Model',
type='category'),
yaxis=dict(title='Time (minutes)'))
fig = go.Figure(data=data, layout=layout)
offline.plot(fig, image='png', filename='stacked-bar')
来源:https://stackoverflow.com/questions/49628849/create-a-bar-chart-using-plotly