[英]Creating a dictionary of lists from pandas data frame
I'm trying to create a dictionary of lists based on a pandas dataframe, I need a dictionary of lists to pass for my Plotly dashboard我正在尝试基于 pandas dataframe 创建一个列表字典,我需要一个列表字典来传递给我的 Plotly 仪表板
In:
df.head()
Model Make
Ford F-150
Ford Escape
Ford Mustang
Jeep Grand Cherokee
Jeep Wrangler
I found df.to_dict()
orients by column header but I need to orient based on neighboring row value.我发现
df.to_dict()
按 header 列定向,但我需要根据相邻行值定向。 Is the only way to do this by re-shaping my dataframe into columns by Model with their respective makes under them?唯一的方法是通过 Model 将我的 dataframe 重新塑造成列,并在它们各自的品牌之下?
Out:
makes_by_model= {
'Ford': ['F-150', 'Escape', 'Mustang'],
'Jeep': ['Wrangler', 'Grand Cherokee']
}
You can groupby
, aggregate to lists, return a rec.array
with to_records
and construct a dictionary from the result:您可以
groupby
,聚合到列表,返回一个带有rec.array
的to_records
并从结果中构造一个字典:
dict(df.groupby('Model').agg(list).to_records())
# {'Ford': ['F-150', 'Escape', 'Mustang'], 'Jeep': ['Grand Cherokee', 'Wrangler']}
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