DataFrame.to_dict(orient=’dict’)详解编程语言

 df = pd.DataFrame({name:[1,2,3],"class":[11,22,33],"price":[111,222,333]}) 

 class name price 

0 11 1 111 

1 22 2 222 

2 33 3 333

orient : str {‘dict’, ‘list’, ‘series’, ‘split’, ‘records’, ‘index’}
Determines the type of the values of the dictionary.

dict (default) : dict like {column - {index - value}}

 df.to_dict(orient="dict") 

{class: {0: 11, 1: 22, 2: 33}, name: {0: 1, 1: 2, 2: 3}, price: {0: 111, 1: 222, 2: 333}}

list : dict like {column - [values]}

 df.to_dict(orient="list") 

{class: [11, 22, 33], name: [1, 2, 3], price: [111, 222, 333]}

series : dict like {column - Series(values)}

 df.to_dict(orient="series") 

{class: 0 11 

1 22 

2 33 

Name: class, dtype: int64, name: 0 1 

Name: name, dtype: int64, price: 0 111 

1 222 

2 333 

Name: price, dtype: int64}

split : dict like {index - [index], columns - [columns], data - [values]}

 df.to_dict(orient="split") 

{index: [0, 1, 2], columns: [class, name, price], data: [[11, 1, 111], [22, 2, 222], [33, 3, 333]]}

records : list like [{column - value}, … , {column - value}]

 df.to_dict(orient="records") 

[{class: 11, name: 1, price: 111}, {class: 22, name: 2, price: 222}, {class: 33, name: 3, price: 333}]

index : dict like {index - {column - value}}

 df.to_dict(orient="index") 

{0: {class: 11, name: 1, price: 111}, 1: {class: 22, name: 2, price: 222}, 2: {class: 33, name: 3, price: 333}}

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