Advertisements So I was going over pandas leetcode and I came across this question. Where I am getting errors int not subscriptable. And then I found out because the column name and the series name is the problem where I cant get the column properly, is there any way to avoid this kinda problem? data… Read More pandas series name conflict with column name

Advertisements I have two dataframes: mapping = pd.DataFrame({‘idx’: [‘a’,’b’,’c’], ‘val’: [1, 2, 3]}) obs = pd.DataFrame({‘obs’: [‘a’,’c’,’a’,’a’,’b’,’d’]}) I would like for all observations in obs, that are present in mappings idx column, to get the value of mappings val column. If the value does not exist in mappings idx column, it should be discarded. That… Read More Merging dataframes on one column while replacing values with another column

Advertisements I have a map that is divided into unequally sized cells. I want to find out which cell a point belongs to. For a grid where the cells are equally shaped, this is fairly simple. However, how do I solve the problem where the cells are unequal? Specifically: given a pandas dataframe of cells… Read More Finding which cell a point belongs to given that the cells are not of the same size

Advertisements I am trying to sort and display the contents of a file. The code I have does not produce the expected output. I have set ascending=True or ascending=False but it still does not work. Thank in advance. sampledata.txt # Source file ADS43 11.468 02:45 982AS2S 5.657 02:45 K72KSU3 -3.398 02:45 JJS7AS 3.238 02:45 LO92SA… Read More Sorting dataframe contents based on last column values

Advertisements I need to convert data frame column to int. df[‘Slot’].unique() displays this: array([‘1’, ‘2’, ‘3’, ‘4’, 1, 3, 5], dtype=object) some values have ” around it some dont. I tried to convert the data type to int as below: df[‘Slot’]=df[‘Slot’].astype(‘Int64’) I get this error: TypeError: cannot safely cast non-equivalent object to int64 Any ideas… Read More how do you convert data frame column values to integer

Advertisements I have string data that I am matching to a list of terms and I want to create a new column that shows all words found in each row of the dataframe df = pd.DataFrame({‘String’: [‘Cat Dog Fish’, ‘Cat Dog’, ‘Pig Horse’, ‘DogFish’]}) print(df) String 0 Cat Dog Fish 1 Cat Dog 2 Pig… Read More Pandas Column containing a list of matched strings found using str.contains('|'.join(words))

Advertisements here is my sample data: df=pd.DataFrame({‘Name’:[‘A,B’,’C’,’D’,’E,F,G’] ,’Age’:[4,6,8,9]}) My expected output is to split the entries if there are more than one names. pd.DataFrame({‘Name’:[‘A’,’B’,’C’,’D’,’E’,’F’,’G’] ,’Age’:[4,4,6,8,9,9,9]}) I can only split the name but I don’t now how to make it duplicated entries. For first row, there are A,B under the Name, so I want to make… Read More Split the entries in dataframe

Advertisements I have a dataframe I built by scraping multiple excel files. one of the problems is that the header from the excel file (the column names) gets repeated for every file that gets concatenated into the dataframe. I would like to drop the rows where the value is equal to the column names. The… Read More Filtering on multiple columns using iloc or loc

Advertisements Compare if A column is present in C, if not the type Vnot found. if present then compare B and D. if not present type T not found else NA. import pandas as pd data1 = {‘A’: [1, 2, 3], ‘B’: [‘p’, ‘s’, ‘r’]} data2 = {‘C’: [‘3’, ‘2’, ‘5’], ‘D’: [‘p’, ‘r’, ‘q’]}… Read More Merge and find the diff in df

Advertisements Given a data frame structured as follows: df = pd.DataFrame({ ‘DATE’ : [1,2,3,4,5], ‘Q24’ : [23.28, 28.81, 29.32, 29.8, 30.25], ‘J24’ : [24.22, 24.89, 25.54, 26.15, 26.73], ‘F24’ : [22.34, 32.73, 33.1, 33.45, 33.77] }) I would like to create a dictionary in which all keys are tuples containing the products of values in… Read More Dictionary from data frame. Values assigned to tuple keys derived from column, row products