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[Solved] FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison Error Occurs?

Today I get the following error FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison in python.

How To Solve FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison Error ?

  1. How To Solve FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison Error ?

    To Solve FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison Error I get the same error when I try to set the index_col reading a file into a Panda's data-frame:

  2. FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison

    To Solve FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison Error I get the same error when I try to set the index_col reading a file into a Panda's data-frame:

Solution 1

I get the same error when I try to set the index_col reading a file into a Panda‘s data-frame:

df = pd.read_csv('my_file.tsv', sep='\t', header=0, index_col=['0'])  ## or same with the following
df = pd.read_csv('my_file.tsv', sep='\t', header=0, index_col=[0])

I have never encountered such an error previously. I still am trying to figure out the reason behind this (using @Eric Leschinski explanation and others).

Anyhow, the following approach solves the problem for now until I figure the reason out:

df = pd.read_csv('my_file.tsv', sep='\t', header=0)  ## not setting the index_col
df.set_index(['0'], inplace=True)

I will update this as soon as I figure out the reason for such behavior.

Solution 2

Can’t beat Eric Leschinski’s awesomely detailed answer, but here’s a quick workaround to the original question that I don’t think has been mentioned yet – put the string in a list and use .isin instead of ==

For example:

import pandas as pd
import numpy as np

df = pd.DataFrame({"Name": ["Peter", "Joe"], "Number": [1, 2]})

# Raises warning using == to compare different types:
df.loc[df["Number"] == "2", "Number"]

# No warning using .isin:
df.loc[df["Number"].isin(["2"]), "Number"]

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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