How to Get Value of Cell From a Pandas Dataframe?

Pandas Dataframe is a two-dimensional array used to store values in rows and columns format. You may need to access the value of a cell to perform some operations on it.

You can get the value of a cell from a pandas dataframe using df.iat[0,0].

In this tutorial, you’ll learn how to get the value of a cell from a pandas dataframe.

If you’re in Hurry

You can use the below code snippet to get a specific cell value.

It’ll return the value of the cell with row index 0 and column index 0.

Snippet

df.iat[0,0]

Output

    Keyboard

If You Want to Understand Details, Read on…

In this tutorial, you’ll learn the different methods available to get the value of a specific cell of a pandas dataframe.

To set the value of a cell from a dataframe, read How to Set Value of A Cell From Pandas Dataframe.

Sample Dataframe

This is the sample dataframe used throughout the tutorial.

Snippet

import pandas as pd

data = {"Product_Name":["Keyboard","Mouse", "Monitor", "CPU","CPU", "Speakers","Headset"],
        "Unit_Price":[500,200, 5000.235, 10000.550, 10000.550, 250.50,None],
        "No_Of_Units":[5,5, 10, 20, 20, 8,pd.NaT],
        "Available_Quantity":[5,6,10,"Not Available","Not Available", pd.NaT,pd.NaT],
        "Available_Since_Date":['11/5/2021', '4/23/2021', '08/21/2021','09/18/2021','09/18/2021','01/05/2021',pd.NaT],
        "Remarks":[pd.NaT,pd.NaT,pd.NaT,pd.NaT,pd.NaT,pd.NaT,pd.NaT]
       }

df = pd.DataFrame(data)

df = df.astype({"Unit_Price": float})

df

DataFrame Will Look Like

	Product_Name	Unit_Price	No_Of_Units	Available_Quantity	Available_Since_Date	Remarks
0	Keyboard	500.000	5	5	11/5/2021	NaT
1	Mouse	200.000	5	6	4/23/2021	NaT
2	Monitor	5000.235	10	10	08/21/2021	NaT
3	CPU	10000.550	20	Not Available	09/18/2021	NaT
4	CPU	10000.550	20	Not Available	09/18/2021	NaT
5	Speakers	250.500	8	NaT	01/05/2021	NaT
6	Headset	NaN	NaT	NaT	NaT	NaT

Now, you’ll learn the different ways to get value from a specific cell of the dataframe.

Get Cell Value Using iat

You can get cell value using iat property of the dataframe.

iat attribute accepts row index and column index position to fetch the value at that specific position. It raises IndexError when the index passed is out of bounds.

Use the below snippet to get the value of the cell at position [0,0].

Snippet

df.iat[0,0]

Output

    Keyboard

This is how you can access the cell value of a dataframe using iat property of the dataframe.

Get Cell Value using At

You can get cell value using at property of the dataframe. Unlike iat, at also accepts the column name as the positional parameter.

at attribute accepts row index and column index or column name to fetch the value at that specific position. It raises IndexError when the index passed is out of bounds.

Use the below snippet to get the value of the cell at position 0 for the column Product_Name.

Snippet

df.at[1,'Product_Name']

Output

    Mouse

This is how you can use the at attribute to get the value of a cell in the dataframe.

Get Cell Value Using iloc

iloc attribute is integer-based indexing for selecting a value from the dataframe.

You can get cell value using iloc property of the dataframe.

You can pass the row index and the column index or name to get the value at that specific position.

It raises IndexError when the index passed is out of bounds.

Use the below snippet to get the value of the cell at row index 2 and column name No_Of_Units.

Snippet

df.iloc[2]['No_Of_Units']

Output

    10

This is how you can select the value of a cell from the pandas dataframe.

Get Cell Value By Column Name

In this section, you’ll learn how to get cell values by using the column name.

You can get cell value by column name by using the values[] attribute.

First, select the specific column by using its name using df[‘Product_Name’] and get the value of a specific cell using values[0] as shown below.

Snippet

df['Product_Name'].values[0]

Output

    'Keyboard'

This is how you can get the cell value of a dataframe by using the column name.

Get Cell Value Based on Condition

In this section, you’ll learn how to get cell value based on a condition.

You can get cell value based on condition by passing the condition to the loc attribute.

To select the Product_Name which has a price greater than or equal to 1000, you can use the below snippet.

tolist() method converts values from the cells to list and displays them.

Snippet

df.loc[df.Unit_Price >= 1000,'Product_Name'].tolist()

Output

    ['Monitor', 'CPU', 'CPU']

If you would like to select one cell value based on the condition, you can again use the values property after filtering the dataframe using the condition in the loc attribute.

Snippet

df.loc[df.Unit_Price >= 1000,'Product_Name'].values[0]

This will return the first product which has a price greater than or equal to 0.

Output

    Monitor

This is how you can get the value of a cell based on a specific condition.

Get Cell Value by Row and Column Name

In this section, you’ll learn how to get the value of a cell by using row and column names.

In most cases, the dataframe columns will have names. You can set names for rows using the set_index() method.

For example, use the below snippet to set the column Product_Name as the row name. Use inplace = True for making changes in the same dataframe rather than creating a new dataframe.

Snippet

# setting first name as index column
df.set_index("Product_Name", inplace = True)

Once you have a dataframe with names for rows and columns.

Use the below snippet to get No_Of_Units of the product Keyboard.

Snippet

df.loc['Keyboard']['No_Of_Units']

You’ll see the output 5 as the number of units of keyboard available is 5.

Output

    5

This is how you can get cell value by row and column name.

Conclusion

To summarize, you’ve learned how to get the cell value of the dataframe using the different available methods. You’ve also learned how to get a specific cell value by using column names or column indexes.

If you have any questions, comment below.

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