setting an array element with a sequence

#SETTING AN ARRAY ELEMENT WITH A SEQUENCE CODE#

TypeError: cannot perform reduce with flexible type

Throws this error: File 'mypathmypythonscript.py', line 3631, in CreateSummaryGraphics

#SETTING AN ARRAY ELEMENT WITH A SEQUENCE CODE#

Then that section of the script works fine without throwing an error, but then this line of code further down the line: p.ylim(.

With this instead: RRDuringArray = p.array(UnFilteredDuringExSummaryOfMeansArray) Any other ideas?įYI, if I replace this problem line of code: RRDuringArray = p.array(UnFilteredDuringExSummaryOfMeansArray,dtype=p.float64) So I do not think that your idea explains the problem that is happening here. With this same data that I am adding in this.ĮDIT 2: However, the script is throwing an error. Looks like a 5 row by 13 column matrix to me, though the number of rows is variable when different data are run through the script. UnFilteredDuringExSummaryOfMeansArray is: , I did a print command to get the contents of the matrix, and this is what it printed out: ValueError: setting an array element with a sequence.Ĭan anyone show me what to do to fix the problem in the broken code above so that it stops throwing an error message? Throws this error message: File 'mypathmypythonscript.py', line 3484, in secondfunction RRDuringArray = p.array(UnFilteredDuringExSummaryOfMeansArray,dtype=p.float64) Return def secondfunction( UnFilteredDuringExSummaryOfMeansArray): Secondfunction(UnFilteredDuringExSummaryOfMeansArray) UnFilteredDuringExSummaryOfMeansArray.append(conditionMeansArray) MyMeans, myMeans, myMeans, myMeans, myMeans, MyMeans = p.mean(trimmedMatrix,axis= 0,dtype=p.float64)ĬonditionMeansArray =, myMeans, TrimmedMatrix = p.array(roughTrimmedMatrix,dtype=p.float64) #ERROR THROWN HERE 'StrokeVolumeMean', 'CardiacOutputMean', 'VelocityIndexMean']ĭataMatrix = BeatByBeatMatrixOfMatrices 'dZdtMaxVoltageMean', 'BZMean', 'ZXMean', 'LVETMean', 'Z0Mean', MeanOutputHeader=[ 'TestID', 'ConditionName', 'FilterType', 'RRMean', 'HRMean', Here we are using single dimensional but multi value array which is a problem.UnFilteredDuringExSummaryOfMeansArray = When you are replacing or inserting an element in numpy array at an index, you can have only single dimensional single value array. Here, the function superhero() is returning an array which is not a valid element for numpy array. We are trying to find the mean of array elements where one element is a tuple. The problem here is that numpy is unable to convert a tuple, ('Thor', 'Hulk'), into array element. These examples will throw error – import numpy as np To replace or insert a value at an index in numpy array, you can use a single dimensional, single value array. You can use a function which is returning a valid element within array. Else, it will be the expression which result as 50. These examples will work fine – import numpy as np

Now we will look at various situations where we will or will not get the array element with sequence error – If you want to keep it unrestricted, then use dtype=object. Since Ironman is a string, so it can’t be the part of array of floats ( dtype=float). So, a float array can only contain float values and not strings. So, this code will work fine – import numpy as npĪnother reason for the same problem is using a different type of element in array than the defined datatype. If we make the length of both arrays equal, then there will be no error. This will throw valueerror setting array element with sequence, because we are asking numpy to create an array from the list which has elements of different dimensions – and. For example, you are defining a float array and inserting string values in it.Ĭonsider this code example – import numpy as np Another reason is related to the type of content in array.

Python throws valueerror: setting an array element with a sequence, when you are trying to create an array with the list which is not proper multi-dimensional in shape.

Setting an array element with a sequence