Plotly代码报错：AttributeError: module 'plotly.graph_objs' has no attribute 'pie'

Let's work through this error and get your pie chart up and running smoothly:

Why This Error Occurs #

The main issue here is a simple typo combined with Plotly's strict naming conventions:

• Plotly's pie chart object is go.Pie (capitalized "P"), not go.pie (lowercase). Plotly uses camelCase for all its graph object classes, so lowercase names won't be recognized.
• If you're using a newer Plotly version (v4+), the library is more strict about these naming rules, making typos like this throw explicit attribute errors.

Corrected Code #

Here's the fixed version of your code, with additional tweaks for common Plotly pitfalls:

import numpy as np 
import pandas as pd 
import plotly.graph_objs as go 

# Calculate approval status counts
temp = train_data['project_is_approved'].value_counts() 
labels = temp.index 
sizes = (temp/temp.sum())*100 

# Use go.Pie (capital P) instead of go.pie
trace = go.Pie(labels=labels, values=sizes, hoverinfo='label+percent') 
layout = go.Layout(title='Project Proposal Approval Status') 
data = [trace] 

# Fix go.figure to go.Figure (capital F) - Plotly's constructor is capitalized
fig = go.Figure(data=data, layout=layout) 

# For modern Plotly versions, use fig.show() to display plots (works in notebooks & scripts)
fig.show()

# If you're using an older Plotly version that requires py.iplot(), uncomment below:
# import plotly.plotly as py
# py.iplot(fig)

Key Fixes Breakdown #

1. go.pie → go.Pie: This directly resolves the AttributeError by using the correct capitalized class name.
2. go.figure → go.Figure: Plotly's figure constructor is a capitalized class, so lowercase will cause another error if left uncorrected.
3. py.iplot(fig) → fig.show(): Newer Plotly versions use fig.show() as the standard way to render plots, which works across Jupyter notebooks and standalone Python scripts. If you're stuck on an older version, you can revert to py.iplot() but need to import plotly.plotly as py first.

内容的提问来源于stack exchange，提问作者vishnu