学习Pandas，第 10 课

英文原文: 10 - Lesson

  • 从 DataFrame 到 Excel
  • 从 Excel 到 DataFrame
  • 从 DataFrame 到 JSON
  • 从 JSON 到 DataFrame 
import pandas as pd
import sys

print('Python version ' + sys.version)
print('Pandas version ' + pd.__version__)

Python version 3.6.1 | packaged by conda-forge | (default, Mar 23 2017, 21:57:00) 
[GCC 4.2.1 Compatible Apple LLVM 6.1.0 (clang-602.0.53)]
Pandas version 0.19.2

从 DataFrame 到 Excel

# 创建一个 DataFrame
d = [1,2,3,4,5,6,7,8,9]
df = pd.DataFrame(d, columns = ['Number'])
df
Number
0 1
1 2
2 3
3 4
4 5
5 6
6 7
7 8
8 9 
# 导出到 Excel
df.to_excel('./Lesson10.xlsx', sheet_name = 'testing', index = False)
print('Done')

Done

从 Excel 到 DataFrame

# Excel 文件的路径
# 按照你的要求修改文件路径
location = r'./Lesson10.xlsx'

# 读入 Excel 文件
df = pd.read_excel(location, 0)
df.head()
Number
0 1
1 2
2 3
3 4
4 5 
df.dtypes

Number    int64
dtype: object

df.tail()
Number
4 5
5 6
6 7
7 8
8 9

从 DataFrame 到 JSON

df.to_json('Lesson10.json')
print('Done')

Done

从 JSON 到 DataFrame

# 按照你的要求修改文件路径
jsonloc = r'./Lesson10.json'

# read json file
df2 = pd.read_json(jsonloc)

df2
Number
0 1
1 2
2 3
3 4
4 5
5 6
6 7
7 8
8 9 
df2.dtypes

Number    int64
dtype: object

This tutorial was created by HEDARO

本教程由派兰数据翻译

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