在plotly中使用pandas Dataframe的条形图

Question

我正在使用以下代码作为示例绘制条形图：

fig = make_subplots(rows=1, cols=2, shared_yaxes=True, horizontal_spacing= 0)

y = ['10', '20', '30', '40', '50','60']
width=2.9

fig.add_trace(go.Bar(x=[34, 64, 20,24,12,89], y=y,orientation='h',name = '1',marker_color='gold', width=width),row=1, col=1)
fig.add_trace(go.Bar(x=[14, 24, 50,34,9,104], y=y,orientation='h',name = '2',marker_color='darkorange',width=width),row=1, col=1)
fig['layout']['xaxis']['autorange'] = "reversed"
fig.add_trace(go.Bar(x=[17,46,68,22,12,93], y=y,orientation='h',name = '3',marker_color='deepskyblue',width=width),row=1, col=2)
fig.add_trace(go.Bar(x=[57,45,14,44,8,100], y=y,orientation='h',name = '4',marker_color='royalblue',width=width),row=1, col=2)
fig.update_layout(title_text="Data Chart",title_x=0.45, bargap=0.4)
fig.show()

但是当我尝试使用 Pandas dataframe绘制相同的图表时，我遇到了错误，并且图表与我上面的不同。 我拥有的Datagrame就像

       1     2      3      4
100   23    34     56     67
110   46    78     94     56
120   71    88     17     85
130   92    99     72     35
140   39    35     64     72
150   81    50    120     12

是否有一个简单的修复方法，以便我可以使用 Pandas Dataframe精确条形图。

Answer 1

通过分别指定一列数据框，与示例脚本相同

import pandas as pd
import numpy as np
import io

data = '''
       1     2      3      4
100   23    34     56     67
110   46    78     94     56
120   71    88     17     85
130   92    99     72     35
140   39    35     64     72
150   81    50    120     12
'''

df = pd.read_csv(io.StringIO(data), delim_whitespace=True)

import plotly.graph_objects as go
from plotly.subplots import make_subplots

fig = make_subplots(rows=1, cols=2, shared_yaxes=True, horizontal_spacing= 0)

Y = df.index
width=2.9

fig.add_trace(go.Bar(x=df['1'], y=y,orientation='h',name='1',marker_color='gold', width=width),row=1, col=1)
fig.add_trace(go.Bar(x=df['2'], y=y,orientation='h',name='2',marker_color='darkorange',width=width),row=1, col=1)
fig['layout']['xaxis']['autorange'] = "reversed"
fig.add_trace(go.Bar(x=df['3'], y=y,orientation='h',name='3',marker_color='deepskyblue',width=width),row=1, col=2)
fig.add_trace(go.Bar(x=df['4'], y=y,orientation='h',name='4',marker_color='royalblue',width=width),row=1, col=2)
fig.update_layout(title_text="Data Chart",title_x=0.45, bargap=0.4)
fig.show()