I just started to learn python and tried to setup a simple GUI with Tkinter. I am having problems understanding the grid feature of Tkinter. I want to create a GUI, where I can dynamically add new frames with a fixed setup. For simplicity, I just used labels in this example. This is my code:… Read More Tkinter Grid of Labels with fixed column-sizes
I have basic df and I’m trying to add different color for each bar. According to e_color doc we need to provide a vector of colors but it doesn’t work, I’m getting only one color from the vector. Additionally I’d like to rotate by 45dg x axis label but haven’t found any solution yet. Any… Read More How to color bar chart & rotate axis label in echarts4r
Tables and code at the bottom will probs help much more than description. I have a solution that works but think its very inefficient see bottom. Problem: I have two data frames df_1 and df_2 — these dataframes have a match column – match_id df_2 has a date column that I am trying to write… Read More Python: Filling a dataframe sequentially based on matching ids (inefficient code)
if cat_vars: df["static_cat"] = ( df.groupby("group_col") .agg({i: "first" for i in cat_vars}) .values.tolist() ) Error: packages\pandas\core\groupby\generic.py in aggregate(self, func, *args, **kwargs) 926 func = _maybe_mangle_lambdas(func) 927 –> 928 result, how = self._aggregate(func, *args, **kwargs) 929 if how is None: 930 return result packages\pandas\core\base.py in _aggregate(self, arg, *args, **kwargs) 355 obj.columns.intersection(keys) 356 ) != len(keys): –>… Read More solving nested renamer is not supported with dynamic arguments
I want to create a new dataframe with columns calculated as means of columns with similar names from this dataframe: B6_i B6_ii B6_iii … BXD80_i BXD80_ii BXD81_i data … Cd38 0.598864 -0.225322 0.306926 … -0.312190 0.281429 0.424752 Trim21 1.947399 2.920681 2.805861 … 1.469634 2.103585 0.827487 Kpnb1 -0.458240 -0.417507 -0.441522 … -0.314313 -0.153509 -0.095863 Six1 1.055255… Read More How to groupby multiple columns in pandas based on name?
I have following dataframe named ‘Saty’ in R One_Day Arrived_Date Departure_Date Yes 2022-01-10 NA No 2021-05-12 2021-06-01 Yes 2021-12-01 2021-12-01 Yes 2022-03-01 NA I want to modify the dataframe, if the One_Day column value is ‘Yes’, my ‘Arrived_Date’ and ‘Departure_Date’ should be same, like below dataframe. One_Day Arrived_Date Departure_Date Yes 2022-01-10 2022-01-10 No 2021-05-12 2021-06-01… Read More Changing specific column values based on conditions in R
I am trying to store coefficients from a mle model just like a normally do for other models. Surprisingly, it throws an error. Any other methods to store it? set.seed(111) y.size <- rnorm(100,4,1) p <- rnorm(100,5,1) df <- data.frame(p, y.size) glae <- function(A,K,Ka,q, sigma, c) { lnqp <- if(q == 0) log(p) else ((p^q -… Read More How to get coefficients from a model in R?
As far as I understand .NET concepts, the source code is first translated into an Assembly (IL code+meta data), which is compiled to machine code on the target machine with the CLR’s JIT compiler. However I cannot really match these concepts to what I see when working on a C# project. When I build a… Read More Understanding .NET compilation
Someone on this platform has already helped me with generating the following code: col,row = (100,1000) a = np.random.uniform(0,10,size=col*row).round(6).reshape(row,col) mask = (a*1e6+1).astype(int)%10<2 a[mask] += 2e-6 This code ensures that the last decimal is not a 0 or a 9. However, I would like to have no 0’s nor 9’s in all the decimals that are… Read More Replace decimals in floating point numbers
What I want here is for the Nans to ultimately be integer values. Since my dataset is 1000s of columns, I can’t just change a couple of columns to make them integer and when I tried df = df.astype(‘int’) in Dask, after changing the values to 0 floats, for whatever reason, it didn’t work. `… Read More Filling NAs to string 0 and then to int reverts to float