Question

我正在尝试使用python创建报告以填充数据。下面是一个例子。我已经使用n0 = 2来读取pandas来创建数据框。然后，我必须使用单元格来填充文本。

数据框：

csv

如何让python打印以下内容：

    name    age
0   Chris   15
1   Kim     20
2   David   18

Answer 1

代码：

import pandas
data = pandas.DataFrame({'name': ['Chris', 'Kim', 'David'],
                         'age': [15, 20, 18]})

for index, row in data.iterrows():
  print('name is {} age {}.'.format(row['name'], row['age']))

输出：

name is Chris age 15.
name is Kim age 20.
name is David age 18.

Answer 2

In [12]: import pandas as pd

In [13]: df = pd.DataFrame([
    ...:     {'name': 'Chris', 'age': 15},
    ...:     {'name': 'Kim', 'age': 20},
    ...:     {'name': 'David', 'age': 18}
    ...: ])

In [14]: df
Out[14]: 
   age   name
0   15  Chris
1   20    Kim
2   18  David

In [15]: for name, age in zip(df['name'], df['age']):
    ...:     # Python 3.6+ 
    ...:     print(f'name is {name} age {age}')
    ...:
    ...:     # Python 3.5 and below
    ...:     # print('name is {name} age {age}'.format(**df.to_dict()))
    ...:     
name is Chris age 15
name is Kim age 20
name is David age 18

In [16]:

Answer 3

使用lambda进行迭代

import pandas
data = pandas.DataFrame({'name': ['Chris', 'Kim', 'David'],
                         'age': [15, 20, 18]})
def print_func(x):
    print('name is {} and age is {}'.format(x['name'],x['age']))

data.apply(lambda x:print_func(x),axis=1)

输出：

name is Chris and age is 15
name is Kim and age is 20
name is David and age is 18

Python：打印字符串和数据框

3 个答案: