如何根据某些条件从两个数据框中获取行数
[英]How to get the count of row from two dataframe based on some conditions
问题描述
count_0 = (X_train['school_state']== 'nc' & y_train['project_is_approved'] == 0).apply(len)
X_train is one numpy array and y_train is another numpy array. 
X_train是一个 numpy 数组， y_train是另一个 numpy 数组。
X_train has a column school_state which total 51 state names and one of the State name is 'nc' and y_train has a single column ie project_is_approved which have two value which can be either 0 or 1. X_train有一列school_state ，其中一共有 51 个州名，其中一个州名是“nc”，而y_train有一个列，即project_is_approved ，它有两个值，可以是 0 或 1。
I want to find out number where state name is 'nc' and project_is_approved is 0.我想找出状态名称为 'nc' 且project_is_approved为 0 的数字。
Through above code i am getting error:通过上面的代码，我收到错误：
IndexError: only integers, slices (
:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices:），省略号（...），numpy.newaxis（None）和整数或布尔数组是有效的索引
Sample y_train : array([0, 1, 1, ..., 1, 1, 0], dtype=int64) Sample X_train['school_state']:样本 y_train : array([0, 1, 1, ..., 1, 1, 0], dtype=int64) 样本 X_train['school_state']:
47418 nc 47418 数控
49054 ca 49054 ca
35919 wi 35919无线
34248 ca 34248 ca
15492 sd 15492 标清
31525 ks 31525 秒
36090 fl 36090 液量
43569 ny 43569 纽约
9290 pa 9290帕
12848 me 12848 我
46189 la 46189 拉
33364 dc 33364 直流
1 个解决方案
解决方案1
0 2019-12-30 12:52:43
您需要添加括号，然后才能使用sum方法：
((X_train['school_state'] == 'nc') & (y_train == 0)).sum()
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