pandas.to_datetime() 可以將 unix 時間格式化為本地時區嗎？

Question

我試圖讓 pandas.to_datetime 給我與我的時區相關的正確時間，但我找不到任何關於如何做到這一點的信息。

這是我制作的代碼：

def _new_values_list(arg1=list()):
    import time 
    keys = arg1[1]
    sym = arg1[0]
    """
    ==========================================================================
    :param: values returned by the seperate_key_value() in the form of a
    variable. Probably something like candle_data, candleD, etc.
    ==========================================================================
    :returns: a sorted pandas DataFrame with columns for the open, high, low
    close, volume and datetime as index. It also, includes a row with the
    epoch time for easier time series calculations.
    ==========================================================================
    """

    o = []
    for vals in keys: o.append(vals['open'])

    h = []
    for vals in keys: h.append(vals['high'])

    l = []
    for vals in keys: l.append(vals['low'])

    c = []
    for vals in keys: c.append(vals['close'])

    etime = []
#     for vals in keys: etime.append((vals['datetime'])/10000)
    for vals in keys: etime.append(vals['datetime'])

    time = []
    for vals in keys:
        vals = pd.to_datetime(vals['datetime'], unit='ms')
        time.append(vals)

    vol = []
    for vals in keys: vol.append(vals['volume'])

    df = pd.DataFrame({'unix_time':etime, 'datetime': time, 'open': o, 'high': h, 'low': l, 'close': c,'volume': vol})

    return df

那么這是output：

          unix_time            datetime    open      high       low    close  \
0     1637332200000 2021-11-19 14:30:00  342.71  343.0700  342.2000  342.810   
1     1637332260000 2021-11-19 14:31:00  342.73  343.2000  342.7100  342.710   
2     1637332320000 2021-11-19 14:32:00  342.76  342.8900  342.3101  342.875   
3     1637332380000 2021-11-19 14:33:00  342.80  342.9965  342.6800  342.810   
4     1637332440000 2021-11-19 14:34:00  342.86  343.1100  342.8600  343.080   
...             ...                 ...     ...       ...       ...      ...   
3815  1638564900000 2021-12-03 20:55:00  321.68  322.4000  321.6100  322.320   
3816  1638564960000 2021-12-03 20:56:00  322.30  322.7000  322.1600  322.450   
3817  1638565020000 2021-12-03 20:57:00  322.42  323.0800  322.1100  323.050   
3818  1638565080000 2021-12-03 20:58:00  323.05  323.0773  322.8500  322.950   
3819  1638565140000 2021-12-03 20:59:00  322.96  323.4500  322.7300  323.180   

       volume       std    volume_std  
0     1813225  0.242681  76462.813531  
1       77239  0.242681  76462.813531  
2       66437  0.242681  76462.813531  
3       42748  0.242681  76462.813531  
4       52295  0.242681  76462.813531  

• datetime 應該顯示為 08:30:00 但事實並非如此。

• 我可以改變它嗎？ 如果是這樣怎么辦？

Answer 1

有一個function ：

df['datetime'].tz_convert('US/Central')

要獲取您的時區，請使用：

import time
time.tzname[time.localtime().tm_isdst]