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Python Pandas DataFrame.to_dict() 函数将给定的 DataFrame 转换为字典。

pandas.DataFrame.to_dict() 的语法

DataFrame.to_dict(orient='dict',
                  into= < class 'dict' >)

参数

返回

它返回代表传递的 Dataframe 的字典。

示例代码：DataFrame.to_dict() 方法将 DataFrame 转换为字典的字典

为了将 DataFrame 转换为字典的字典，我们将不传递任何参数。

import pandas as pd

dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
                        'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
                        'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)

dataframe1 = dataframe.to_dict()
print("The Dictionary of Dictionaries is: \n")
print(dataframe1)

输出：

The Original Data frame is: 

   Attendance    Name  Obtained Marks
0          60  Olivia              90
1         100    John              75
2          80   Laura              82
3          78     Ben              64
4          95   Kevin              45
The Dictionary of Dictionaries is: 

{'Attendance': {0: 60, 1: 100, 2: 80, 3: 78, 4: 95}, 'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}, 'Name': {0: 'Olivia', 1: 'John', 2: 'Laura', 3: 'Ben', 4: 'Kevin'}}

该函数返回了字典的字典。

示例代码：DataFrame.to_dict() 将 DataFrame 转换为 Series 字典的方法

要将一个 DataFrame 转换为 Series 的字典，我们将传递 series 作为 orient 参数。

import pandas as pd

dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
                        'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
                        'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)

dataframe1 = dataframe.to_dict('series')
print("The Dictionary of Series is: \n")
print(dataframe1)

输出：

The Original Data frame is: 

   Attendance    Name  Obtained Marks
0          60  Olivia              90
1         100    John              75
2          80   Laura              82
3          78     Ben              64
4          95   Kevin              45
The Dictionary of Series is: 

{'Attendance': 0     60
1    100
2     80
3     78
4     95
Name: Attendance, dtype: int64, 'Obtained Marks': 0    90
1    75
2    82
3    64
4    45
Name: Obtained Marks, dtype: int64, 'Name': 0    Olivia
1      John
2     Laura
3       Ben
4     Kevin
Name: Name, dtype: object}

函数返回 Series 字典。