用两个数据框计算观察的数量
[英]Calculating the number of observations with two data frames
问题描述
I have two dataframes (members and expeditions), there is a "members" column in expeditions that counts the number of members per expedition, I would like to find a way to check that there are as many members with this expedition_id in "members" as there are members in the "members" column of expeditions.
我有两个数据框（成员和远征队），远征队中有一个“成员”列，用于计算每次远征队的成员数量，我想找到一种方法来检查“成员”中是否有尽可能多的成员具有此 expedition_id因为远征的“成员”栏中有成员。
Code: import pandas as pd members = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv") expeditions = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/expeditions.csv")代码：导入 pandas 作为 pd 成员 = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv") expeditions = pd.read_csv( “https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/expeditions.csv”）
I had started by doing this but it makes an error.我已经开始这样做了，但它出错了。
nbre_membres_expedition = members[["expedition_id", "member_id"]].grouby("expedition_id", as_index = False).count()
1 个解决方案
解决方案1
0 2021-11-29 05:59:32
nbre_membres_expedition = members[["expedition_id", "member_id"]].groupby("expedition_id", as_index = False).count()
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