简体   繁体   中英

How to create a dictionary with the following DataFrame

Considering a dataframe with the following shape:

label      method      args
Cluster 0  relayout    ['shapes', 1]
Cluster 1  relayout    ['shapes', 3]
Cluster 2  relayout    ['shapes', 4]

I want to to create a dictionary that looks like this:

{'buttons': [
  {'label': 'Cluster 0', 'method': 'relayout', 'args': ['shapes', 1]},
  {'label': 'Cluster 1', 'method': 'relayout', 'args': ['shapes', 3]},
  {'label': 'Cluster 2', 'method': 'relayout', 'args': ['shapes', 4]},
  ]}

Using df.to_dict

res = {'buttons': df.to_dict(orient='records')}

The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM