我希望在我的熊猫df中找到最长的零串。我有一个包含10列的df数组,每列有25000行,具有null,零或非零数字。我想要计算:
1. A value which states the longest consecutive number
of zeros in each column for all the columns.
2. A value which states the longest consecutive number
of zeros AND nulls in each column for all the columns.
e.g。如果第一列是:
[col1:1,2,4,5,6,2,3,0,0,0,0,1,2,... (remaining all numbers)]
将返回4.
由于
答案 0 :(得分:1)
设置
考虑数据框Toolbar
df
解决方案
df = pd.DataFrame(dict(
col0=[1, 2, 3, 0, 0, 0, 0, 1, 2, 3, 4, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 9],
col1=[1, 2, 3, 0, 0, 4, 0, 1, 2, 3, 4, 0, 0, 0, 1, 2, 0, 0, 2, 0, 4, 8, 9]
))
答案 1 :(得分:1)
如果你有像
这样的数据框Alamofire
.request(
"https://api.everypixel.com/oauth/token",
parameters:[
"client_id" : clientID,
"client_secret" : clientSecret,
"grant_type" : "client_credentials"
]
)
.responseString { response in
switch response.result {
case .success(let value):
print("from .success \(value)")
case .failure(let error):
print(error)
}
}
您可以使用itertools groupby
df = pd.DataFrame([[1, 2, 4, 5, 6, 2, 3, 0, 0, 0 ,0, 1, 2],[1, 0, 0, 2, 0, 2, 0, 0, 0, 0 ,0, 1, 2]])
输出:
0 1 2 3 4 5 6 7 8 9 10 11 12 max 0 1 2 4 5 6 2 3 0 0 0 0 1 2 4 1 1 0 0 2 0 2 0 0 0 0 0 1 2 5