如果该行出现在第二个 dataframe 中，您如何将两个数据框组合在两个值上并添加一个包含 boolean 的额外列？
[英]How do you combine two data frames on two values and add an extra column containing a boolean for if the row appeared in the second dataframe?
问题描述
I have two csv files, one with an ID, a year and some other stats and then I have another csv file with just the name and year.
我有两个 csv 文件，一个带有 ID、年份和其他一些统计信息，然后我有另一个 csv 文件，其中只有名称和年份。 The first is just a collection of all users, years and the corresponding stats and the other is for winners of an award and the year that they won it.第一个是所有用户、年份和相应统计数据的集合，另一个是针对某个奖项的获奖者和他们赢得该奖项的年份。 I'm trying to combine the two and have the result as an extra column in the first data set showing a boolean value for if they won an award that year or not.我正在尝试将两者结合起来，并将结果作为第一个数据集中的额外列显示 boolean 值，如果他们在那一年获得了奖项。
eg [embiijo01,2018-19,...] and [embiijo01,2018-19] would turn into [embiijo01,2018-19,...,1]例如 [embiijo01,2018-19,...] 和 [embiijo01,2018-19] 将变成 [embiijo01,2018-19,...,1]
1 个解决方案
解决方案1
0 2019-11-19 21:23:34
pd.merge(csv_1, csv_2, on = 'ID/Name/User/identification of the person', how = 'left')
Should be able to just do simple if statement and append or add column for the boolean.应该能够只做简单的 if 语句和 append 或为 boolean 添加列。
https://towardsdatascience.com/why-and-how-to-use-merge-with-pandas-in-python-548600f7e738 https://towardsdatascience.com/why-and-how-to-use-merge-with-pandas-in-python-548600f7e738
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