Cannot contain na nan or inf
WebAug 7, 2012 · Your for loop makes no sense:. for (x in 1:n.periods) { r[, x] <- Next(Delt(v, k = x), x) x <- apply(r, 1, function(x) {sum(x[x > target x < -target])}) } x is the iterator, and the object you're assigning to, and the argument to the anonymous function in your apply call, and the object you're subsetting in your sum call, and the object you're comparing to target. WebJun 20, 2024 · Applying your code I get: "Warning message: 1350 failed to parse" and when I try to convert to monthly data, I get "Error in xts (, order.by = x) : 'order.by' cannot …
Cannot contain na nan or inf
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WebFeb 24, 2016 · 1 I do not think SDV is well defined for a matrix with nans but you said you don't want to fill them, so not sure what you want. – Stop harming Monica Feb 23, 2016 at 12:49 If I fill them all by zeros, and I have zero in the column as value. This will be incorrect.
WebDec 11, 2014 · How do I remove rows that contain NA/NaN/Inf ; How do I set value of data point from NA/NaN/Inf to 0. So far, I have tried using the following for NA values, but been getting warnings. > eg <- data[rowSums(is.na(data)) == 0,] Weberror in xts - "'order.by' cannot contain 'NA', 'NaN', or 'Inf'" Dot plot with error bars in ggplot changes order of presentation of data; R: Getting env_get_list error when trying to apply …
WebJan 22, 2014 · It is not the default dtype for integers, and will not be inferred; you must explicitly pass the dtype into array () or Series: arr = pd.array ( [1, 2, np.nan], dtype=pd.Int64Dtype ()) pd.Series (arr) 0 1 1 2 2 NaN dtype: Int64 For convert column to nullable integers use: df ['myCol'] = df ['myCol'].astype ('Int64') Share Improve this answer WebFeb 2, 2024 · 1. When trying to read a local csv file im getting the error. Error in xts (dat, order.by = as.Date (rownames (dat), "%m/%d/%Y")) : 'order.by' cannot contain 'NA', …
WebApr 30, 2024 · Depending on your data and application a different method is preferred to handle these NaN and inf. One example of code that is posted in this SO question: df.replace ( [np.inf, -np.inf], np.nan).dropna (axis=1) # You can replace inf and -inf with NaN, and then select non-null rows.
WebDec 11, 2024 · Error in xts(mydata, order.by = as.POSIXct(mydata$Date, format = "%d%/m/%y %H:%M")) 'order.by' cannot contain 'NA', 'NaN', or 'Inf' I am sure my data … primary producers of the great barrier reefWebaddEventLines: Add vertical lines to an existing xts plot addLegend: Add Legend addPanel: Add a panel to an existing xts plot addPolygon: Add a polygon to an existing xts plot addSeries: Add a time series to an existing xts plot align.time: Align seconds, minutes, and hours to beginning of next... apply.monthly: Apply Function over Calendar Periods … primary production and non primary productionWebMar 20, 2024 · The data doesn't have NA's values. I don't know if my problem come from the packages and libraries or I just need more one step. The objective is to transform the … primary production anzsic codeWebJan 9, 2016 · 4. You can use apply, like you might on an ordinary matrix. Using the data that you provided: d <- xts (read.zoo (text='date a b 2015-09-14 -0.5470 NA 2015-09-15 … primary production business for saleWebYou can replace inf and -inf with NaN, and then select non-null rows. df [df.replace ( [np.inf, -np.inf], np.nan).notnull ().all (axis=1)] # .astype (np.float64) ? or df.replace ( [np.inf, … primary production and secondary productionWebNov 5, 2024 · I have been trying to read these set of daily stock market data using xts object and been getting different types of error messages, listed below. The dataset contains … primary production expensesWebJul 2, 2024 · 2 Answers Sorted by: 0 R's Date functions specifically work with Date data, which only go down to the day. If you want to preserve the time of day, you should use … primary production business test