极客教程Pandas中的DataFrame.to_pickle()函数
to_pickle()方法被用来将给定的对象腌制（序列化）到文件中。这个方法使用下面的语法。
语法:
DataFrame.to_pickle(self, path,
compression='infer',
protocol=4)
| 参数 | 类型 | 描述 |
|---|---|---|
| path | str | 储存腌制对象的文件路径。 |
| compression | {‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}. | 一个字符串，代表在输出文件中使用的压缩方式。默认情况下，从指定路径中的文件扩展名推断。 |
| protocol | int | Int，表示拾取器应该使用哪种协议，默认为HIGHEST_PROTOCOL（见[1]_第12.1.2段）。可能的值是0、1、2、3、4。协议参数的负值相当于将其值设置为HIGHEST_PROTOCOL。 |
示例 1:
# importing packages
import pandas as pd
# dictionary of data
dct = {'ID': {0: 23, 1: 43, 2: 12,
3: 13, 4: 67, 5: 89,
6: 90, 7: 56, 8: 34},
'Name': {0: 'Ram', 1: 'Deep',
2: 'Yash', 3: 'Aman',
4: 'Arjun', 5: 'Aditya',
6: 'Divya', 7: 'Chalsea',
8: 'Akash' },
'Marks': {0: 89, 1: 97, 2: 45, 3: 78,
4: 56, 5: 76, 6: 100, 7: 87,
8: 81},
'Grade': {0: 'B', 1: 'A', 2: 'F', 3: 'C',
4: 'E', 5: 'C', 6: 'A', 7: 'B',
8: 'B'}
}
# forming dataframe and printing
data = pd.DataFrame(dct)
print(data)
# using to_pickle function to form file
# with name 'pickle_file'
data.to_pickle('pickle_file')
输出 :
ID Name Marks Grade
0 23 Ram 89 B
1 43 Deep 97 A
2 12 Yash 45 F
3 13 Aman 78 C
4 67 Arjun 56 E
5 89 Aditya 76 C
6 90 Divya 100 A
7 56 Chalsea 87 B
8 34 Akash 81 B
示例 2:
# importing packages
import pandas as pd
# dictionary of data
dct = {"f1": range(6), "b1": range(6, 12)}
# forming dataframe and printing
data = pd.DataFrame(dct)
print(data)
# using to_pickle function to form
# file with name 'pickle_file'
data.to_pickle('pickle_file')
输出:
f1 b1
0 0 6
1 1 7
2 2 8
3 3 9
4 4 10
5 5 11