pandas resample文档

Question

所以我完全理解如何使用resample,但文档并没有很好地解释选项.

所以resample函数中的大多数选项都很简单,除了这两个:

• rule:表示目标转换的偏移字符串或对象
• how:string,down-or-sampling的方法,默认为'mean'

因此,通过查看我在网上找到的尽可能多的示例,我可以看到规则,你可以做'D'一天,'xMin'几分钟,'xL'几毫秒,但这就是我能找到的.

对我怎么看到以下内容:'first',np.max,'last','mean',和'n1n2n3n4...nx'其中nx为每列索引的第一个字母.

那么在我缺少的文档中是否有某个地方显示了pandas.resample规则和输入的每个选项？如果是的话,因为我找不到它.如果不是,那么他们的选择是什么？

Answer 1

B         business day frequency
C         custom business day frequency (experimental)
D         calendar day frequency
W         weekly frequency
M         month end frequency
SM        semi-month end frequency (15th and end of month)
BM        business month end frequency
CBM       custom business month end frequency
MS        month start frequency
SMS       semi-month start frequency (1st and 15th)
BMS       business month start frequency
CBMS      custom business month start frequency
Q         quarter end frequency
BQ        business quarter endfrequency
QS        quarter start frequency
BQS       business quarter start frequency
A         year end frequency
BA, BY    business year end frequency
AS, YS    year start frequency
BAS, BYS  business year start frequency
BH        business hour frequency
H         hourly frequency
T, min    minutely frequency
S         secondly frequency
L, ms     milliseconds
U, us     microseconds
N         nanoseconds

请参阅时间序列文档.它包括一个偏移列表(和'锚定'偏移量),以及一个关于重新采样的部分.

请注意,没有所有不同how选项的列表,因为它可以是任何NumPy数组函数,并且可以通过groupby调度传递的任何函数都可以通过how名称传递.

Answer 2

除此之外还有更多内容,但您可能正在寻找此列表:

B   business day frequency
C   custom business day frequency (experimental)
D   calendar day frequency
W   weekly frequency
M   month end frequency
BM  business month end frequency
MS  month start frequency
BMS business month start frequency
Q   quarter end frequency
BQ  business quarter endfrequency
QS  quarter start frequency
BQS business quarter start frequency
A   year end frequency
BA  business year end frequency
AS  year start frequency
BAS business year start frequency
H   hourly frequency
T   minutely frequency
S   secondly frequency
L   milliseconds
U   microseconds

资料来源:http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases