pandas/python : Get each distinct values of each column as columns and their counts as rows Question: I have a data frame like this with below code, df=pd.DataFrame(columns=[‘col1’, ‘col2’, ‘col3’]) df.col1=[‘q1’, ‘q2’, ‘q2’, ‘q3’, ‘q4’, ‘q4’] df.col2=[‘b’, ‘a’, ‘a’, ‘c’, ‘b’, ‘b’] df.col3=[‘p’, ‘q’, ‘r’, ‘p’, ‘q’, ‘q’] df col1 col2 col3 0 q1 b …
After dropping columns with missing values, sklearn still throwing ValueError Question: I am currently taking the intermediate machine learning course on kaggle, and am quite new to machine learning. I’m currently trying to create a Random Forest model and implementing OH Encoding on my data, but as it is my first time have been struggling …
OneHotEncoding a (categorical) column but with the value of another column of the Dataframe (not with value "1") Question: (my first question on StackOverFlow, so please be indulgent). I am coding a ANN on a set of data containing among others the following columns: [… , ‘labels_column’, ‘Content %’] I would like to have the …
Convert Categorical into Numerical Python Panda Columns must be same length as key Question: I’m a novice at Python and start to learn Data Science using Python. Please help with my problem. I’m following this youtube video tutorial: https://www.youtube.com/watch?v=DPeTCC9Qm80 to convert categorical data into numerical data (one hot encoding). The problem is when I want …
FileNotFoundError: [Errno 2] No such file or directory for Image Dataset one-hot encoded Question: I tried to one-hot encoded using to_categorical() in my image dataset but I failed because of FileNotFoundError: [Errno 2] No such file or directory error and the code is given below, import os import numpy as np from PIL import Image …
Transform 2d numpy array into 2d one hot encoding Question: How would I transform a=[[0,6], [3,7], [5,5]] into b=[[1,0,0,0,0,0,1,0], [0,0,0,1,0,0,0,1], [0,0,0,0,0,1,0,0]] I want to bring notice to how the final array in b only has one value set to 1 due to the repeat in the final array in a. Asked By: cooldude3139 || Source …
How to make dummy coding (pd.get_dummies()) only for categories which share in nominal variables is at least 40% in Python Pandas? Question: I have DataFrame like below: COL1 | COL2 | COL3 | … | COLn —–|——|——|——|—- 111 | A | Y | … | … 222 | A | Y | … | … …
How to combine OneHotEncoder (for strings) with Float features Question: I’d like to use LogisticRegression to combine X features that are strings and floats. This question is similar to this question: Logistic regression on One-hot encoding There is a comment: I would like to add that your answer is partially correct. Indeed, if only LabelEncode …
setting an array element with a sequence after one-hot-encoding with scikit-learn Question: I have been using scikit-learn’s linear svc model for a binary classification problem. Example row from the dataset: PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 …
One Hot Encoder on columns Question: The data available is as follows: bread milk butter jam nutella cheese chips 0 bread NaN butter jam nutella NaN NaN 1 NaN NaN butter jam nutella NaN chips 2 NaN milk NaN NaN NaN cheese NaN 3 bread milk butter jam nutella cheese chips 4 bread milk NaN …
