Python Bash-Date操作和连接

我有两个CSV文件，我想使用

日期（CSV 1）和
拾取日期时间（CSV 2）合并

CSV 1:Weather.CSV（45KB~365行）

CSV 2：最终数据\u 1.CSV（250MB~150万行）

如何操作两个CSV文件中的日期列，并将其合并为一个文件，其中包含
Final\u Data\u 1.CSV
列在
Weather.CSV
之前？
您肯定不想使用Bash，Python中的一个好方法是使用pandas，类似这样的东西：

import pandas as pd
df1 = pd.read_csv('weather.csv')
df2 = pd.read_csv('final.csv')
#format the date columns so they match up
df3 = pd.merge(df2,df1, on='date_formatted')

您如何确定哪一行最终数据将合并到哪一行天气数据中？那么，哪一个id将它们链接在一起呢？因为您使用的是Python标记，您是否尝试过Python csv模块？那么，2013-01-01的最终数据将有大约50000行。因此，它需要将weather.csv中的相应值复制到最终的_数据中。
head -3 final_data_1.csv 
medallion,hack_license,vendor_id_x,rate_code,store_and_fwd_flag,pickup_datetime,dropoff_datetime,passenger_count,trip_time_in_secs,trip_distance,pickup_longitude,pickup_latitude,dropoff_longitude,dropoff_latitude,vendor_id_y,payment_type,fare_amount,surcharge,mta_tax,tip_amount,tolls_amount,total_amount
DFD2202EE08F7A8DC9A57B02ACB81FE2,51EE87E3205C985EF8431D850C786310,CMT,1,N,2013-01-01 23:54:15,2013-01-01 23:58:20,2,244,0.7,-73.974602,40.759945,-73.984734,40.759388,CMT,CSH,5.0,0.5,0.5,0.0,0.0,6.0
237F49C3ECC11F5024B254268F054384,93C363DDF8ED9385D65FAD07CE3F5F07,CMT,1,N,2013-01-01 07:35:47,2013-01-01 07:46:00,1,612,2.3,-73.98850999999999,40.774307,-73.981094,40.755325,CMT,CSH,10.0,0.0,0.5,0.0,0.0,10.5

import pandas as pd
df1 = pd.read_csv('weather.csv')
df2 = pd.read_csv('final.csv')
#format the date columns so they match up
df3 = pd.merge(df2,df1, on='date_formatted')