将整个pandas数据帧逐行格式化为字符串

Question

我有一个熊猫数据框，我想以特殊格式打印出来：

df = pd.DataFrame({'A': [1, 5, 3], 'B': [90, 74, 180], 'C': ["aabb","bbcc", "ccdd"]})

所需的输出是：

For x1, referenced by aabb, the address is 0x5a
For x5, referenced by bbcc, the address is 0x4a
For x3, referenced by aabb, the address is 0xb4

即。像 -

print('For x%i, referenced by %s, the address is %x' % (df.A, df.C, df.B)`

将列连接为字符串不起作用 -

print('For' + df.A + df.C + df.B)

我可以使用iterrows轻松完成。还有更好的方法吗？

Answer 1

您可以使用apply axis=1 format并使用适当的格式字符串。确保在lambda中使用字典解包来完成它。

sfmt = 'For x{A}, referenced by {C}, the address is {B:#04x}'.format

df.apply(lambda x: sfmt(**x), 1)

0    For x1, referenced by aabb, the address is 0x5a
1    For x5, referenced by bbcc, the address is 0x4a
2    For x3, referenced by ccdd, the address is 0xb4
dtype: object