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How to succinctly write a formula with many variables from a data frame?

... the . identifier. y <- c(1,4,6) d <- data.frame(y = y, x1 = c(4,-1,3), x2 = c(3,9,8), x3 = c(4,-4,-2)) mod <- lm(y ~ ., data = d) You can also do things like this, to use all variables but one (in this case x3 is excluded): mod <- lm(y ~ . - x3, data = d) Technically, . means all ...
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How do you specify the Java compiler version in a pom.xml file?

... 312 <project> [...] <build> [...] <plugins> <plugin> ...
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How to format a string as a telephone number in C#

... 23 Answers 23 Active ...
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Pandas count(distinct) equivalent

...ple: In [2]: table Out[2]: CLIENTCODE YEARMONTH 0 1 201301 1 1 201301 2 2 201301 3 1 201302 4 2 201302 5 2 201302 6 3 201302 In [3]: table.groupby('YEARMONTH').CLIENTCODE.nunique() Out[3]: YEARM...
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Loop through all nested dictionary values?

... | edited Mar 11 at 5:34 Antti Haapala 109k2121 gold badges223223 silver badges258258 bronze badges ...
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Which is better, number(x) or parseFloat(x)?

... 318 The difference between parseFloat and Number parseFloat/parseInt is for parsing a string, whi...
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How do I get the row count of a pandas DataFrame?

... 1387 You can use the .shape property or just len(DataFrame.index). However, there are notable perfo...
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How to round a number to significant figures in Python

... You can use negative numbers to round integers: >>> round(1234, -3) 1000.0 Thus if you need only most significant digit: >>> from math import log10, floor >>> def round_to_1(x): ... return round(x, -int(floor(log10(abs(x))))) ... >>> round_to_1(0.0232)...
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Column order manipulation using col-lg-push and col-lg-pull in Twitter Bootstrap 3

I'm now reading documentation on Twitter Bootstrap 3, and tried to follow column ordering as shown in this page but hit the wall. I don't understand why such a code works nor how to correctly specify the setting. What I want to show is one grid, which is consisted of length 5, and the other leng...
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Multiple levels of 'collection.defaultdict' in Python

... 347 Use: from collections import defaultdict d = defaultdict(lambda: defaultdict(int)) This wil...