How to find the row with the closest value to a given float in pandas
Assuming that I have the following dataframe:
col1 col2 0 0 0.53 1 1 0.52
How can I find the
col1 value and
col2 value for the row which has the closest
col2 value to e.g.
For the given example the desired outcome would be:
closest_col1 = 0 closest_col2 = 0.53
The following should do the trick:
closest_row = df.iloc[(df['col2'] - 0.6).abs().argsort()[:1]] closest_col1 = closest_row closest_col2 = closest_row
>> print(closest_col1) >> print(closest_col2) >> 0 >> 0.53
Lookup closest value in Pandas DataFrame, Not sure if this will help, but I'm using this to find nearest in a sorted column: (time series stuff) result_index = df['col_to_search'].sub(search_value).abs().idxmin(). Not sure if this will help, but I'm using this to find nearest in a sorted column: (time series stuff) result_index = df['col_to_search'].sub(search_value).abs().idxmin() .sub(search_value) subtracts search_value from the df[col_to_search] to make the nearest value almost-zero,.abs() makes the almost-zero the minimum of the column,
df.loc[(df.col2 - 0.6).abs().idxmin()] gives you the row you want
How do I find the closest values in a Pandas series to an input , How do I find the closest array element to an arbitrary (non-member) number? Return Index of Nearest Value in DataFrame Column : learnpython, Python are broken by preferring the larger index value. tolerance int or float, optional. Closest values are picked by absolute difference between them and the given input. Pandas DataFrame Exercises, Practice and Solution: Write a Pandas program to find the row for where the value of a given column is maximum.
You can use idxmin:
closest_index = (data.col1 - data.col2).abs().idxmin() print(data.loc[closest_index, :])
Return Index of Nearest Value in DataFrame Column : learnpython, DataFrame(list(range(0, 1000, 10)),columns=['values']) value = 103 index Feels bad man, I mentioned to her I'd be happy to help her learn Python but she Lists, dicta, loops, classes and the like but am trying to figure out how to use and I have 2-3k budget given to me by my boss to learn Data Analysis/Science for� Pandas : Get frequency of a value in dataframe column/index & find its positions in Python; Pandas : Convert a DataFrame into a list of rows or columns in python | (list of lists) Pandas : Drop rows from a dataframe with missing values or NaN in columns; How to Find & Drop duplicate columns in a DataFrame | Python Pandas
NumPy: Find the closest value (to a given scalar) in an array , Write a NumPy program to find the closest value (to a given scalar) in an array. Sample Solution:- Python Code: import numpy as np x = np. pad / ffill: find the PREVIOUS index value if no exact match. backfill / bfill: use NEXT index value if no exact match. nearest: use the NEAREST index value if no exact match. Tied distances are broken by preferring the larger index value. tolerance int or float, optional. Maximum distance from index value for inexact matches.
pandas.Index.get_loc — pandas 1.1.1 documentation, Get integer location, slice or boolean mask for requested label. nearest: use the NEAREST index value if no exact match. toleranceint or float, optional. NumPy Array Object Exercises, Practice and Solution: Write a NumPy program to find the closest value (to a given scalar) in an array.
Pandas is one of those packages and makes importing and analyzing data much easier. Pandas dataframe.get_value() function is used to quickly retrieve single value in the data frame at passed column and index. The input to the function is the row label and the column label. Syntax: DataFrame.get_value(index, col, takeable=False) Parameters :