close

[Solved] pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool]

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] 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 pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error Occurs?

Today I get the following error pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] in python.

How To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error ?

  1. How To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error ?

    To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error & has higher precedence than ==. Write:

  2. pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool]

    To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error & has higher precedence than ==. Write:

Solution 1

& has higher precedence than ==. Write:

my_df.ix[(my_df.CHUNK_NAME==chunks[0])&(my_df.LAMBDA==lam_beta[0][0])]

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.

Also, Read