How to search a value within a ROW of a Pandas DataFrame in Python
Searching for a specific value within a Pandas DataFrame in Python can be done by using the .loc or .iloc functions. These functions allow you to select specific rows and columns from a DataFrame based on their labels or indices.
Next, you can use the .loc or .iloc functions to search for a specific value within the DataFrame. The .loc function allows you to select rows and columns by their labels, while the .iloc function allows you to select rows and columns by their indices.
For example, if you want to search for the value ‘Banana’ in the ‘product’ column, you can use the following code with .loc function:
df.loc[df['product'] == 'Banana']
Or you can use the following code with .iloc function:
df.iloc[df.index[df['product'] == 'Banana'].tolist()]
By using .loc or .iloc functions, you can easily search for a specific value within a Pandas DataFrame in Python. This can be useful for data analysis, as it allows you to select specific rows and columns based on their values. It can also be used for exploring and filtering data in an organized manner.
Let’s check the following example in Python:
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