pandas.DataFrame.iat#

propertyDataFrame.iat[source]#

Access a single value for a row/column pair by integer position.

Similar toiloc, in that both provide integer-based lookups. Useiat if you only need to get or set a single value in a DataFrameor Series.

Raises:

IndexError

When integer position is out of bounds.

See also

DataFrame.at

Access a single value for a row/column label pair.

DataFrame.loc

Access a group of rows and columns by label(s).

DataFrame.iloc

Access a group of rows and columns by integer position(s).

Examples

>>>df=pd.DataFrame([[0,2,3],[0,4,1],[10,20,30]],...columns=['A','B','C'])>>>df    A   B   C0   0   2   31   0   4   12  10  20  30

Get value at specified row/column pair

>>>df.iat[1,2]1

Set value at specified row/column pair

>>>df.iat[1,2]=10>>>df.iat[1,2]10

Get value within a series

>>>df.loc[0].iat[1]2