第十课： - 读取/写入Excel/Json格式数据

第 10 课

• 从DataFrame到Excel
• 从Excel到DataFrame
• 从DataFrame到JSON
• 从JSON到DataFrame

In [1]:

import pandas as pd
import sys

In [2]:

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

 

Python version 3.5.1 |Anaconda custom (64-bit)| (default, Feb 16 2016, 09:49:46) [MSC v.1900 64 bit (AMD64)]

Pandas version 0.20.1

 

从 DataFrame 到 Excel

In [3]:

# Create DataFrame
d = [1,2,3,4,5,6,7,8,9]
df = pd.DataFrame(d, columns = ['Number'])
df

Out[3]:

	Number
0	1
1	2
2	3
3	4
4	5
5	6
6	7
7	8
8	9

In [4]:

# Export to Excel
df.to_excel('Lesson10.xlsx', sheet_name = 'testing', index = False)
print('Done') 

Done

 

从 Excel 到 DataFrame

In [5]:

# Path to excel file
# Your path will be different, please modify the path below.
location = r'C:\Users\david\notebooks\update\Lesson10.xlsx'

# Parse the excel file
df = pd.read_excel(location, 0)
df.head()

Out[5]:

	Number
0	1
1	2
2	3
3	4
4	5

In [6]:

df.dtypes

Out[6]:

Number    int64
dtype: object

In [7]:

df.tail()

Out[7]:

	Number
4	5
5	6
6	7
7	8
8	9

 

从 DataFrame 到 JSON

In [8]:

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

 

Done

 

从 JSON  到 DataFrame

In [9]:

# Your path will be different, please modify the path below.
jsonloc = r'C:\Users\david\notebooks\update\Lesson10.json'

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

In [10]:

df2

Out[10]:

	Number
0	1
1	2
2	3
3	4
4	5
5	6
6	7
7	8
8	9

In [11]:

df2.dtypes

Out[11]:

Number    int64
dtype: object

 

This tutorial was rewrited by CDS