pandas with Excel

Generating a data table

1, first import the pandas library, usually used numpy library, so let's import spare:

import numpy as np 
import pandas as pd

2, xlsx or import the CSV file:

data = pd.read_csv ( 'name.csv', header = 1) the default read a first sheet

data = pd.read_csv ( 'name.csv', sheet_name = 'sheetName') The sheet acquisition sheet name

data = pd.read_csv ( 'name.csv', sheet_name = None) Get all sheet, data.keys () Gets a list of all sheet_name.

3 Create a data table with the pandas:

df = pd.DataFrame({"id":[1001,1002,1003,1004,1005,1006], 
 "date":pd.date_range('20130102', periods=6),
  "city":['Beijing ', 'SH', ' guangzhou ', 'Shenzhen', 'shanghai', 'BEIJING '],
 "age":[23,44,54,32,34,32],
 "category":['100-A','100-B','110-A','110-C','210-A','130-F'],
  "price":[1200,np.nan,2133,5433,np.nan,4432]},
  columns =['id','date','city','category','age','price'])

4: read the specified single row, there will be a list of data which

#1：读取指定行
df=pd.read_excel('lemon.xlsx')#这个会直接默认读取到这个Excel的第一个表单
data=df.ix[0].values#0表示第一行 这里读取数据并不包含表头，要注意哦！
print("读取指定行的数据：\n{0}".format(data))
Ix upper side has been abandoned, replaced with lower

df.loc[:, ['B', 'A'] 或者 df.iloc['a', 'b']

2: reads the specified multiple rows, the data is present inside the nested list:

df=pd.read_excel('lemon.xlsx')
data=df.ix[[1,2]].values#读取指定多行的话，就要在ix[]里面嵌套列表指定行数
print("读取指定行的数据：\n{0}".format(data))

3: Read the ranks specified:

df=pd.read_excel('lemon.xlsx')
data=df.ix[1,2]#读取第一行第二列的值，这里不需要嵌套列表
print("读取指定行的数据：\n{0}".format(data))

4: reading multiple columns specified value of a plurality of rows:

df=pd.read_excel('lemon.xlsx')
data=df.ix[[1,2],['title','data']].values#读取第一行第二行的title以及data列的值，这里需要嵌套列表
print("读取指定行的数据：\n{0}".format(data))

5: Get the specified column for all rows

df=pd.read_excel('lemon.xlsx')
data=df.ix[:,['title','data']].values#读所有行的title以及data列的值，这里需要嵌套列表
print("读取指定行的数据：\n{0}".format(data))

6: Gets the line number and print out

df=pd.read_excel('lemon.xlsx')
print("输出行号列表",df.index.values)

输出结果是：
输出行号列表 [0 1 2 3]

7: Gets the column name and print output

df=pd.read_excel('lemon.xlsx')
print("输出列标题",df.columns.values)

运行结果如下所示：
输出列标题 ['case_id' 'title' 'data']

8: Get the value of the specified number of lines:

 

df=pd.read_excel('lemon.xlsx')
print("输出值",df.sample(3).values)#这个方法类似于head()方法以及df.values方法

输出值
 [[2 '输入错误的密码' '{"mobilephone":"18688773467","pwd":"12345678"}']
 [3 '正常充值' '{"mobilephone":"18688773467","amount":"1000"}']
 [1 '正常登录' '{"mobilephone":"18688773467","pwd":"123456"}']]

 

9: Gets the value of the specified column:

df=pd.read_excel('lemon.xlsx')
print("输出值\n",df['data'].values)