mean

问题 I want to get the average GDP of each country across the years, the columns 2006, 2007...2015 contain the GDP numbers... My code returns an error that mean(axis=1) needs at least 1 variable, and 1 has been assign to it... which is weird..I also find it weird that we are using mean instead of avg, but coulnd't find an avg function for groupby here is my code Top15 = ANSWER Top15 = Top15[['Country', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015']] return Top15

问题 I want to get the average GDP of each country across the years, the columns 2006, 2007...2015 contain the GDP numbers... My code returns an error that mean(axis=1) needs at least 1 variable, and 1 has been assign to it... which is weird..I also find it weird that we are using mean instead of avg, but coulnd't find an avg function for groupby here is my code Top15 = ANSWER Top15 = Top15[['Country', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015']] return Top15

问题 This question already has answers here : Remove NA values from a vector (7 answers) Closed 4 years ago . Here is my csv file I'm using. my.xldataset <- read.csv('http://www.math.smith.edu/sasr/datasets/help.csv') Here's my attempt at finding the mean of column "mcs1". mean(my.xldataset$mcs1) All I'm getting in return is an "NA". Where exactly am I going wrong here? Thank you 回答1: It could be that there are NA values in the column, so use na.rm=TRUE mean(my.xldataset$mcs1, na.rm=TRUE) or it

问题 This question already has answers here : Remove NA values from a vector (7 answers) Closed 4 years ago . Here is my csv file I'm using. my.xldataset <- read.csv('http://www.math.smith.edu/sasr/datasets/help.csv') Here's my attempt at finding the mean of column "mcs1". mean(my.xldataset$mcs1) All I'm getting in return is an "NA". Where exactly am I going wrong here? Thank you 回答1: It could be that there are NA values in the column, so use na.rm=TRUE mean(my.xldataset$mcs1, na.rm=TRUE) or it

问题 Running with this series X = number_of_logons_all.values split = round(len(X) / 2) X1, X2 = X[0:split], X[split:] mean1, mean2 = X1.mean(), X2.mean() var1, var2 = X1.var(), X2.var() print('mean1=%f, mean2=%f' % (mean1, mean2)) print('variance1=%f, variance2=%f' % (var1, var2)) I get: mean1=60785.792548, mean2=61291.266868 variance1=7483553053.651829, variance2=7603208729.348722 But I wanted something like this in my PyCharm console (pulled from another result): >>> -103 days +04:37:13

问题 Running with this series X = number_of_logons_all.values split = round(len(X) / 2) X1, X2 = X[0:split], X[split:] mean1, mean2 = X1.mean(), X2.mean() var1, var2 = X1.var(), X2.var() print('mean1=%f, mean2=%f' % (mean1, mean2)) print('variance1=%f, variance2=%f' % (var1, var2)) I get: mean1=60785.792548, mean2=61291.266868 variance1=7483553053.651829, variance2=7603208729.348722 But I wanted something like this in my PyCharm console (pulled from another result): >>> -103 days +04:37:13

问题 I have a dataframe which contains nan values at few places. I am trying to perform data cleaning in which I fill the nan values with mean of it's previous five instances. To do so, I have come up with the following. input_data_frame[var_list].fillna(input_data_frame[var_list].rolling(5).mean(), inplace=True) But, this is not working. It isn't filling the nan values. There is no change in the dataframe's null count before and after the above operation. Assuming I have a dataframe with just

问题 I'm trying to plot a plot with mean and sd bars by three levels of a factor. (After two hours of searching on the internet, then checking the Rbook and Rgraphs book I'm still not finding the answer. I think this is because it is a very simple question.) I have a simple data frame with three columns: my categories, mean, sd. I would like to do a plot with the mean by category and its sd bars, just like this one (edit: link broken) My dataframe looks like this color mean.temp sd black 37.93431

问题 I'm trying to plot a plot with mean and sd bars by three levels of a factor. (After two hours of searching on the internet, then checking the Rbook and Rgraphs book I'm still not finding the answer. I think this is because it is a very simple question.) I have a simple data frame with three columns: my categories, mean, sd. I would like to do a plot with the mean by category and its sd bars, just like this one (edit: link broken) My dataframe looks like this color mean.temp sd black 37.93431

来源： https://stackoverflow.com/questions/51609299/python-np-lognormal-gives-infinite-results-for-big-average-and-st-dev