Question

我在转换时间时遇到问题。 Column[0] 是一个时间戳，我想在 [1] 处插入一个新列，现在它称为 timestamp2。我尝试然后使用 for 语句将列 [0] 转换为可读时间并将其添加到列 [1]。目前我插入了新列，但出现此错误： raise TypeError(f"cannot convert the series to {converter}") TypeError: cannot convert the series to 我将 .astype(int) 添加到时间戳变量，但这没有帮助。代码：

def enter_location():
    location_list = []
    count = 1
    Lat1 = float(input("Enter your first LAT coordinate ")
                )
    Lon1 = float(input("Enter you first LON coordinate ")
                )
    Loc1 = (Lat1, Lon1)
    location_list.append(Loc1)
    add_more = input("Enter more coordinates? Y/N ")
    if add_more == 'Y':
        Lat2 = float(input("Enter your second LAT coordinate ")
                    )
        Lon2 = float(input("Enter you second LON coordinate ")
                    )
        Loc2 = (Lat2, Lon2)
        location_list.append(Loc2)
        add_more = input("Enter more coordinates? Y/N ")
        if add_more == 'Y':
            Lat3 = float(input("Enter your third LAT coordinate ")
                        )
            Lon3 = float(input("Enter you third LON coordinate ")
                        )
            Loc3 = (Lat3, Lon3)
            location_list.append(Loc3)
            add_more = input("Enter more coordinates? Y/N ")
            if add_more == 'Y':
                Lat4 = float(input("Enter your fourth LAT coordinate ")
                            )
                Lon4 = float(input("Enter you fourth LON coordinate ")
                            )
                Loc4 = (Lat4, Lon4)
                location_list.append(Loc4)
                add_more = input("Enter more coordinates? Y/N ")
                if add_more == 'Y':
                    Lat5 = float(input("Enter your third LAT coordinate ")
                                )
                    Lon5 = float(input("Enter you third LON coordinate ")
                                )
                    Loc5 = (Lat5, Lon5)
                    location_list.append(Loc5)
                else:
                    pass
            else:
                pass
        else:
            pass
    else:
        pass
    return location_list

解析数据：

import requests
import json
import pandas as pd
from datetime import datetime


url = 'https://us.market-api.kaiko.io/v2/data/trades.v1/exchanges/cbse/spot/btc-usd/aggregations/count_ohlcv_vwap?interval=1h&page_size=1000'

KEY = 'xxx'

headers = {
   "X-Api-Key": KEY,
   "Accept": "application/json",
   "Accept-Encoding": "gzip"
}

res = requests.get(url, headers=headers)
j_data = res.json()
parse_data = j_data['data']

# create dataframe
df = pd.DataFrame.from_dict(pd.json_normalize(parse_data), orient='columns')
df.insert(1, 'timestamp2', ' ')    
 
for index, row in df.iterrows(): 
    timestamp = df['timestamp'].astype(int)
    dt = datetime.fromtimestamp(timestamp)
    df.at[index, "timestamp2"] = dt
       
                 
             
print(df)

df.to_csv('test.csv', index=False, encoding='utf-8')

在这个例子中，我将 'df.at[index, "timestamp2"] = dt' 设置为 5 只是为了确保它插入每一行，这样做我只需要将 column[0] 转换为可读的时间对于列[1]

Answer 1

如果将时间戳转换为整数，则根据值的大小，它似乎是自 epoc 以来的毫秒数。

如果您有兴趣，这里有一些关于 unix-time 的更多细节。 https://en.wikipedia.org/wiki/Unix_time

您可以使用 pd.to_datetime 将其转换为日期时间。

这是一个矢量化操作，因此您不需要使用循环遍历数据帧。 pd.to_numeric 和 pd.to_datetime 都可以应用于整个系列。

没有你的所有数据很难调试，但下面应该可以工作。 .astype(int) 是 pd.to_numeric 的替代方法，唯一的区别是 pd.to_numeric 为您提供了更大的错误处理灵活性，允许您强制转换为 nan（不确定是否需要）。

import pandas as pd
df = pd.DataFrame({'timestamp':['1611169200000']})
# convert to integer. If there are invalid entries this will set to nan. Depends on your case how you want to treat these.
timestamp_num = pd.to_numeric(df['timestamp'],errors='ignore')
df['timestamp2'] pd.to_datetime(timestamp_num,unit='ms')
print(df.to_dict())
#{'timestamp': {0: '1611169200000'}, 'timestamp2': {0: Timestamp('2021-01-20 19:00:00')}}

在熊猫中转换和插入时间戳

1 个答案: