series

I would like to add a chart like the following picture. This chart has 3 series (Black, Red, Blue). The following is a block of code that creates "one" series on a chart... Excel._Workbook oWorkbook = (Excel._Workbook)oSheet.Parent; Excel._Chart oChart = (Excel._Chart)oWorkbook.Charts.Add(oSheet, Type.Missing, Type.Missing, Type.Missing); // Y axis data Excel.Range oRange = oSheet.get_Range(yRange, Type.Missing); // Creates a chart oChart.ChartWizard(oRange, chartType, 2, Excel.XlRowCol.xlColumns, Type.Missing, Type.Missing, false, title, xAxisTitle, yAxisTitle, Type.Missing); // Sets X axis

we have to find the nth term of this series http://oeis.org/A028859 n<=1000000000 answer should be modulo 1000000007 i have written the code but time limit exceeds when n a is huge number. #include<iostream> using namespace std int main() { long long int n; cin>>n; long long int a,b,c; a=1; b=3; int i; for(i=3;i<=n;i++) { c=(2ll*(a+b))%1000000007; a=b; b=c; } cout<<c; } The standard technique for solving this type of problem is to rewrite it as a matrix multiplication and then use exponentiation by squaring to efficiently compute powers of the matrix. In this case: a(n+2) = 2 a(n+1) + 2 a(n) a

I have a data series which looks like this: print mys id_L1 2 NaN 3 NaN 4 NaN 5 NaN 6 NaN 7 NaN 8 NaN I would like to check is all the values are NaN. My attempt: pd.isnull(mys).all() Output: True Is this the correct way to do it? Yes, that's correct, but I think a more idiomatic way would be: mys.isnull().all() Reeves This will check for all columns.. mys.isnull().values.all(axis=0) 来源： https://stackoverflow.com/questions/33147158/pandas-check-if-all-values-are-nan-in-series

What is the method to convert a Python list of strings to a pd.Series object? (pandas Series objects can be converted to list using tolist() method--but how to do the reverse conversion?) I understand that your list is in fact a list of lists import pandas as pd thelist = [ ['sentence 1'], ['sentence 2'], ['sentence 3'] ] df = pd.Series( (v[0] for v in thelist) ) import pandas as pd sentence_list = ['sentence 1', 'sentence 2', 'sentence 3', 'sentence 4'] print("List of Sentences: \n", sentence_list) sentence_series = pd.Series(sentence_list) print("Series of Sentences: \n", sentence_series)

Which programming language or a library is able to process infinite series (like geometric or harmonic)? It perhaps must have a database of some well-known series and automatically give proper values in case of convergence, and maybe generate an exception in case of divergence. For example, in Python it could look like: sum = 0 sign = -1.0 for i in range(1,Infinity,2): sign = -sign sum += sign / i then, sum must be math.pi/4 without doing any computations in the loop (because it's a well-known sum). You need something that can do a symbolic computation like Mathematica . You can also consider

I have some data I'm trying to organize into a DataFrame in Pandas . I was trying to make each row a Series and append it to the DataFrame . I found a way to do it by appending the Series to an empty list and then converting the list of Series to a DataFrame e.g. DF = DataFrame([series1,series2],columns=series1.index) This list to DataFrame step seems to be excessive. I've checked out a few examples on here but none of the Series preserved the Index labels from the Series to use them as column labels. My long way where columns are id_names and rows are type_names: Is it possible to append