Nettet22. okt. 2024 · 1. It seems like your making things a bit more complicating than necessary. By nesting a for loop in another for loop you can achieve what you want in a more straightforward way. from numpy import cos, sin, arcsin, sqrt from math import radians import pandas as pd import numpy as np # recreate your dataframe data = [ [55.6632, … Nettet31. jan. 2024 · Use pandas DataFrame.iloc [] & DataFrame.loc [] to select rows by integer Index and by row indices respectively. iloc [] operator can accept single index, multiple indexes from the list, indexes by a range, and many more. loc [] operator is explicitly used with labels that can accept single index labels, multiple index labels from the list, …

Pandas: Get cell value by row index and column name

NettetIf you want to index multiple rows by their integer indexes, use a list of indexes: idx = [2,3,1] df.iloc [idx] N.B. If idx is created using some rule, then you can also sort the dataframe by using .iloc (or .loc) because the output will be ordered by idx. So in a sense, iloc can act like a sorting function where idx is the sorting key. NettetAfter we filter the original df by the Boolean column we can pick the index . df=df.query ('BoolCol') df.index Out [125]: Int64Index ( [10, 40, 50], dtype='int64') Also pandas … incompletion procedure in sap

Indexing, Selecting, and Assigning Data in Pandas • datagy

Nettetif u want get index number as integer u can also do: item = df[4:5].index.item() print(item) 4 it also works in numpy / list: numpy = df[4:7].index.to_numpy()[0] lista = … NettetIf index_list contains your desired indices, you can get the dataframe with the desired rows by doing index_list = [1,2,3,4,5,6] df.loc [df.index [index_list]] This is based on … Nettet3. aug. 2024 · Both methods return the value of 1.2. Another way of getting the first row and preserving the index: x = df.first ('d') # Returns the first day. '3d' gives first three … inchyra road falkirk