不区分大小写的 pandas dataframe.merge
it1352
帮助1人
问题说明
我正在用最简单的方法在熊猫中进行不区分大小写的合并.有没有一种方法可以在合并中正确执行?我是否需要使用(?i)或带有正则表达式的正则表达式?在下面的代码段中，我加入了一些国家，其中一个文件中可能是美国"，而另一个文件中可能是美国"，我只想从等式中脱颖而出.谢谢！
I am struggling with the easiest way to do a case insensitive merge in pandas. Is there a way to do it right on the merge? Do I need to use (?i) or a regex with ignorecase? In my code snippet below I am joining some Countries where it may be "United States" in one file and "UNITED STATES" in another and I just want to take the case out of the equation. Thank you!
import pandas as pd
import csv
import sys
env_path = sys.argv[1]
map_path = sys.argv[2]
df_address = pd.read_csv(env_path "\\address.csv")
df_CountryMapping = pd.read_csv(map_path "\CountryMapping.csv")
df_merged = df_address.merge(df_CountryMapping, left_on="Country", right_on="NAME", how="left")
....
正确答案
#1
在将用于合并的两列中的值小写，然后在小写的列中合并
Lowercase the values in the two columns that will be used to merge, and then merge on the lowercased columns
df_address['country_lower'] = df_address['Country'].str.lower()
df_CountryMapping['name_lower'] = df_CountryMapping['NAME'].str.lower()
df_merged = df_address.merge(df_CountryMapping, left_on="country_lower", right_on="name_lower", how="left")
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