pandas在Series中的時間日期（datetime64）類型怎麼取出年月日并進行判斷。

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在Series中通過dt就可以獲得其日期屬性

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

df = pd.read_csv('ahdy-2019-03-04-data.csv', sep=',', parse_dates=['釋出時間'])

print(df.shape)

print(df.columns)

print(df.dtypes)

df = df.loc[df['釋出時間'].dt.year == 2019]

print(df['釋出時間'])

這是其他幾個可能用到的，比如變成字元串就是.str,比如我們想通過字元串的長度篩選資料就可以通過str.len() == xx

pd = pd[pd['sid'].str.len() == 18]

str = CachedAccessor("str", StringMethods)
dt = CachedAccessor("dt", CombinedDatetimelikeProperties)
cat = CachedAccessor("cat", CategoricalAccessor)
plot = CachedAccessor("plot", gfx.SeriesPlotMethods)
sparse = CachedAccessor("sparse", SparseAccessor)