Python中处理表格数据的Tablib库详解

lifeng@apple ~ % pip3 install tablib 
Collecting tablib
  Using cached tablib-3.0.0-py3-none-any.whl (47 kB)
Installing collected packages: tablib
Successfully installed tablib-3.0.0

import tablib
t = tablib.Dataset()

import tablib
t = tablib.Dataset()
names = ["张三    50", "李四    20"]
for name in names:
    n, s = name.split()
    t.append([n, s])

t.headers = ["姓名", "分数"]

t.append_col([23, 24], "年龄")

import tablib
t = tablib.Dataset()
names = ["张三    50", "李四    20"]
for name in names:
    n, s = name.split()
    t.append([n, s])
t.headers = ["姓名", "分数"]
t.append_col([23, 24], "年龄")
print(t.dict)

import tablib
with open("data_list.xlsx", "rb") as r:
    data = tablib.Dataset().load(r)
    print(data)
# 运行结果
姓名|分数|年龄
--|--|--
张三|50|23
李四|20|24
Process finished with exit code 0

print(t.export("csv"))
# 运行结果
姓名,分数,年龄
张三,50,23
李四,20,24
Process finished with exit code 0

print(t.export("json"))
# 运行结果
[{"姓名": "张三", "分数": "50", "年龄": 23}, {"姓名": "李四", "分数": "20", "年龄": 24}]
Process finished with exit code 0

print(t.export("yaml"))
# 运行结果
- {分数: '50', 姓名: 张三, 年龄: 23}
- {分数: '20', 姓名: 李四, 年龄: 24}
Process finished with exit code 0

#   索引获取数据
print(t[0])
#   切片获取数据
print(t[0:2])
#   获取全部数据
print(t.dict)
#   键名获取指定列
print(t["姓名"])
#   求平均年龄
print(sum(t["年龄"]) / len(t["年龄"]))

#   索引删除值
del t[0]
#   切片删除值
del t[0: 2]
#   键名删除指定列
del t["姓名"]

import tablib
#   准备数据
data_one = [
    ('11/24/09', '张三', 56.),
    ('05/24/10', '李四', 62.)
]
data_two = [
    ('11/24/09', '王二二', 56.),
    ('05/24/10', '皮球球', 62.)
]
#   创建对象
data = tablib.Dataset()
data.headers = ['日期', '姓名', '分数']
#   循环插入数据
for row in data_one:
    data.append(row)
#   循环插入数据
for row in data_two:
    data.append(row)
#   往文件中写入数据
with open('testing.xlsx', 'wb') as f:
    f.write(data.export('xlsx'))