Question

我想合并系列的数据。但结果是，这些数据被分为三个。如何将这些数据合并为一个？（python3 jupyter notebook）

fp_price = pd.Series(data)
keep = []
for i in fp_price:
    fp_price_merge = i
    keep.append(fp_price_merge)
print(keep)

结果

[487832.87560916983, 488448.86992150272, 490797.3482372716, 
490127.78920212726, 490493.25684214354, 490632.19034193602]
[481897.10423319356, 482361.70278453565, 482144.11241496605, 
481998.03776126896, 482209.0344832759, 482318.84407537803]
[483650.51656619791, 483357.08254157269, 483476.66114698362, 
483627.19449776667, 483503.16349747358, 483547.58143689478]

Answer 1

使用sum展平列表：

sum(fp_price, [])

In [11]: s = pd.Series([[1, 2], [3]])

In [12]: sum(s, [])
Out[12]: [1, 2, 3]

Answer 2

这将打印出list的值。

l=fp_price.values.tolist()
import functools
functools.reduce(lambda x,y: x+y,l)

Answer 3

您可以使用“concat”功能。如果您对处理指数有特定要求，则有很多变化。

代码：

fp_price = pd.Series(data)
keep = []
for i in fp_price:
    fp_price_merge = i
    keep.append(fp_price_merge)
result=pd.concat(keep)
print(result)

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