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Get statistics for each group (such as count, mean, etc) using pandas GroupBy?

...ethods at once. This should give you the result you need: df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count']) share | improve this answer | ...
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Calculate distance between two latitude-longitude points? (Haversine formula)

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pyplot scatter plot marker size

...the marker you need to increase s by a factor of 4. [because A = WH => (2W)(2H)=4A] There is a reason, however, that the size of markers is defined in this way. Because of the scaling of area as the square of width, doubling the width actually appears to increase the size by more than a factor ...
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How are multi-dimensional arrays formatted in memory?

...ch makes everything line up nicely. You do have to be careful with static 2D arrays like you mention, since if you try to pass one to a function taking an int ** parameter, bad things are going to happen. Here's a quick example: int array1[3][2] = {{0, 1}, {2, 3}, {4, 5}}; In memory looks like ...
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly

...p.NaN], range(3), range(3)]) >>> df.isnull() 0 1 2 0 False False False 1 False True False 2 False False True 3 False False False 4 False False False >>> df.isnull().any(axis=1) 0 False 1 True 2 True 3 False 4 False dtype: bool >...
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linux 下巧妙使用squid代理服务器 - 更多技术 - 清泛网 - 专注C/C++及内核技术

...安全性等。它的主要作用有以下几点。 1.共享网络 2.加快访问速度,节约通信带宽 3.防止内部主机受到攻击 4.限制用户访问,完善网络管理 原理: ① 客户端A向代理服务器提出访问Internet的请求。 ② 代理服务器...
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Specifying rails version to use when creating a new application

I have two versions of rails (2.1.0 and 2.2.2) installed in my computer. 7 Answers 7 ...
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How to set versionName in APK filename using gradle?

... 229 I only have to change the version name in one place. The code is simple too. The examples belo...
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Common elements comparison between 2 lists

... 282 >>> list1 = [1,2,3,4,5,6] >>> list2 = [3, 5, 7, 9] >>> list(set(lis...
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Sample random rows in dataframe

... First make some data: > df = data.frame(matrix(rnorm(20), nrow=10)) > df X1 X2 1 0.7091409 -1.4061361 2 -1.1334614 -0.1973846 3 2.3343391 -0.4385071 4 -0.9040278 -0.6593677 5 0.4180331 -1.2592415 6 0.7572246 -0.5463655 7 -0.8996483 0.4231117 8 ...