How to Extract a Specific Value from a Single Row Dataframe in Pandas?

Retrieving a Value from a Dataframe Cell

Initial Condition:

You have crafted a condition that isolates a single row in your dataframe:

<code class="python">d2 = df[(df['l_ext']==l_ext) & (df['item']==item) & (df['wn']==wn) & (df['wd']==1)]</code>

Objective:

Extract a particular value from a specific column in the resulting dataframe.

Solution:

To obtain the value from the one-row dataframe d2, consider the following steps:

1. Index the one-row dataframe as a Series using iloc:

row_series = d2.iloc[0]

2. Access the desired column value from the Series:

value = row_series['col_name']

Example:

To illustrate this approach, let's consider a one-row dataframe named sub_df:

<code class="python">In [3]: sub_df
Out[3]:
          A         B
2 -0.133653 -0.030854</code>

To retrieve the value from column 'A', we can use:

<code class="python">In [4]: sub_df.iloc[0]
Out[4]:
A   -0.133653
B   -0.030854
Name: 2, dtype: float64

In [5]: sub_df.iloc[0]['A']
Out[5]: -0.13365288513107493</code>

This yields the desired single float value.

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