How can i create an equivalent truth table in polars? Something like the below table into a truth table The efficiency of the code is important as the dataset is too large (for using it with apriori algorithm) The unstack function in polars is different, polars alterative for pd.crosstab would also work. Answer It seems like you want tot do
Tag: data-analysis
why p-value for high-correlation data is 1? what is wrong?
I try to filter correlation matrix with p-value for the following matrix I use the following code But the answer that I get it is strange, because the main correlation without filtering is and the P-value matrix is while all should be zero, I do not know what could be the reason, has someone had the same problem before? Answer
Pandas creating a column comparing with different sheets
My excel includes id of users in current sheet/user sheet and id and name of the users in another sheet/name. I need to compare id and add the name of users in user sheet.Just as shown in figure. Answer assuming: sheet1 is ‘s1’ sheet2 is ‘s2’ and names of the columns are user_id,names you can use dictionary to do this
how to count data in a certain column in python(pandas)?
hope you’re doing well . i tried counting green color row after another green colored row in the table below In [1]: df = pd.DataFrame([[green], [red], [red]], columns=[‘A’]) the code i tried to count greengreen: but it didn’t work,hope you can help. note: i’m new to data science Answer You can use: As a one-liner (python ≥ 3.8): example input:
How to create a frequency table of each subject from a given timetable using pandas?
This is a time table, columns=hour, rows=weekday, data=subject [weekday x hour] How do you generate a pandas.Dataframe where, rows=weekday, columns=subject, data = subject frequency in the corresponding weekday? Required table: [weekday x subject] Answer Use melt to flatten your dataframe then pivot_table to reshape your dataframe: Output:
Function plotting with matplotlib
I am trying to model an equation that depends on T and parameters xi, mu, sig. I have inferred parameters and spread(standard deviation) of those parameters for different durations (1h, 3h, etc). In …
Does it make sense? If yes then how to handle in MSE?
Can we do log transform to one variable and sqrt to another for LinearRegression? If yes then what to do during MSE? Should I exp or square the y_test and prediction? boston[‘medv_log’] = np.log(…
“How to consolidate Values present in Unique Rownames” and add a row containing their Sum
I want to append 2 Rows (Yes/No) for Each Unique Session name. Eg: Take 1st Session I want to Add 2 Rows Yes and No which comprises of values as stated below Yes -> “On Duty + Attended + Online Prescence” => 25+30+40 = 95 No -> “Did Not Attend => 10. Is there any […]
Custom transformer for sklearn Pipeline that alters both X and y
I want to create my own transformer for use with the sklearn Pipeline. Hence I am creating a class that implements both fit and transform methods. The purpose of the transformer will be to remove rows …