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How to get a value from a Pandas DataFrame and not the index and object type

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to get a value from a Pandas DataFrame and not the index and object type in Python. So Here I am Explain to you all the possible Methods here.

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

Table of Contents

How to get a value from a Pandas DataFrame and not the index and object type?

  1. How to get a value from a Pandas DataFrame and not the index and object type?

    This returns the first element in the Index/Series returned from that selection. In this case, the value is always the first element.

  2. get a value from a Pandas DataFrame and not the index and object type

    This returns the first element in the Index/Series returned from that selection. In this case, the value is always the first element.

Method 1

df[df.Letters=='C'].Letters.item()

This returns the first element in the Index/Series returned from that selection. In this case, the value is always the first element.

Or you can run a loc() and access the first element that way. This was shorter and is the way I have implemented it in the past.

Method 2

Use the values attribute to return the values as a np array and then use [0] to get the first value:

In [4]:
df.loc[df.Letters=='C','Letters'].values[0]

Out[4]:
'C'

I personally prefer to access the columns using subscript operators:

df.loc[df['Letters'] == 'C', 'Letters'].values[0]

This avoids issues where the column names can have spaces or dashes - which mean that accessing using ..

Conclusion

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

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