使用plotly创建条形图
问题描述：
我正在尝试使用plotly创建条形图.
I'm trying to create a bar chart using plotly.
输入数据如下:
In [7]: datag.ix[:,0].tolist()[1:6]
Out[7]: [2020.0, 5000.0, 6010.0, 6017.0, 6020.0]
和
In [8]:datag.ix[:,1].tolist()[1:6]
Out[8]:
[0.005178087393490427,
0.0014053668695097226,
0.3174139251746979,
0.006049724003653125,
0.24824287385322272]
代码是
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')
我得到以下输出:
但是，问题是我想像字符串一样演示x数据
我用x=[str(x) for x in datag.ix[:,0].tolist()[1:6]]尝试过的.
有人可以帮我弄清楚如何吗?
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?
答
即使提供字符串，也要假定"您的数据类型.将 type 设置为categorical，以供xaxis使用. layout中的yaxis应该可以解决问题.
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')