In[1]:df.受欢迎度.astype('float')Out[1]:010.016.022.038.047.0Name:受欢迎度,dtype:float64 In[2]:df.astype({'国家':'string','向往度':'Int64'})Out[2]:国家 受欢迎度 评分 向往度0中国1010.0101美国65.872日本21.273德国86.864英国76.6<NA> 3. pd.to_xx转化数据类型 pd.to_xx 3.1. pd.to_d...
in DatetimeIndex._maybe_cast_slice_bound(self, label, side) 637 if isinstance(label, dt.date) and not isinstance(label, dt.datetime): 638 # Pandas supports slicing with dates, treated as datetimes at
DatetimeIndex(['2011-07-06 12:00:00','2011-08-06 00:00:00'], dtype='datetime64[ns]', freq=None) It also handles values that should be condidered missing (None, empty string. etc.): idx = pd.to_datetime(datestrs + [None]) idx DatetimeIndex(['2011-07-06 12:00:00','2011-08...
DatetimeIndex现在支持使用astype(str)转换为字符串 (GH 10442) 在pandas.DataFrame.to_csv()中支持compression(gzip/bz2) (GH 7615) pd.read_*函数现在也可以接受pathlib.Path或py:py._path.local.LocalPath对象作为filepath_or_buffer参数。 (GH 11033) -DataFrame和Series函数.to_csv()、.to_html()和.to_...
In [203]: df = pd.read_csv("foo.csv", parse_dates=True)In [204]: df.indexOut[204]: DatetimeIndex(['2009-01-01', '2009-01-02', '2009-01-03'], dtype='datetime64[ns]', freq=None) 使用MultiIndex读取索引 假设您的数据由两列索引: ...
unit参数不使用与上面讨论的format参数相同的字符串。可用的单位在pandas.to_datetime()的文档中列出。 使用指定了tz参数的 epoch 时间戳构建Timestamp或DatetimeIndex会引发 ValueError。如果你有另一个时区中的墙上时间的 epoch,你可以将 epoch 读取为时区无关的时间戳,然后本地化到适当的时区: ...
pd.to_datetime(datestrs) 1. 2. 3. AI检测代码解析 DatetimeIndex(['2011-07-06 12:00:00', '2011-08-06 00:00:00'], dtype='datetime64[ns]', freq=None) 1. It also handles values that should be condidered missing (None, empty string. etc.): ...
DatetimeIndex(['2018-01-01 00:00:00+00:00', '2018-01-01 01:00:00+00:00', '2018-01-01 02:00:00+00:00'], dtype='datetime64[ns, UTC]', freq='H') In [8]: dti.tz_convert('US/Pacific') Out[8]: DatetimeIndex(['2017-12-31 16:00:00-08:00', '2017-12-31 17:00:00-...
in our str string. In the format, %Y is the position where the year appears, and %m is the position where the month appears. ...""" """ """In turn, we can call the strftime() method of the datetime object to convert the datetime object to a string of a specific format. For e...
DatetimeIndex.strftime(date_format):使用指定的date_format转换为Index。 DatetimeIndex.snap([freq]):将时间戳记录到最近出现的频率 DatetimeIndex.tz_convert(tz):将tz-aware DatetimeIndex从一个时区转换为另一个时区。 DatetimeIndex.tz_localize(tz[, ambiguous, …]):将tz-naive DatetimeIndex本地化为tz- aware...