mars.dataframe.Series.at#
- Series.at#
Access a single value for a row/column label pair.
Similar to
loc
, in that both provide label-based lookups. Useat
if you only need to get or set a single value in a DataFrame or Series.- 引发
KeyError – If ‘label’ does not exist in DataFrame.
参见
DataFrame.iat
Access a single value for a row/column pair by integer position.
DataFrame.loc
Access a group of rows and columns by label(s).
Series.at
Access a single value using a label.
实际案例
>>> import mars.dataframe as md >>> df = md.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]], ... index=[4, 5, 6], columns=['A', 'B', 'C']) >>> df.execute() A B C 4 0 2 3 5 0 4 1 6 10 20 30
Get value at specified row/column pair
>>> df.at[4, 'B'].execute() 2
# Set value at specified row/column pair # # >>> df.at[4, ‘B’] = 10 # >>> df.at[4, ‘B’] # 10
Get value within a Series
>>> df.loc[5].at['B'].execute() 4