Αποτελέσματα Αναζήτησης
24 Μαΐ 2013 · If a single row was filtered from a dataframe, one way to get a scalar value from a single cell is squeeze() (or item()): df = pd.DataFrame({'A':range(5), 'B': range(5)}) d2 = df[df['A'].le(5) & df['B'].eq(3)] val = d2['A'].squeeze() # 3 val = d2['A'].item() # 3
1 Φεβ 2024 · In this article, we will discuss how to get the cell value from the Pandas Dataframe in Python. Method 1 : Get a value from a cell of a Dataframe using loc() function Pandas DataFrame.loc attribute access a group of rows and columns by label(s) or a boolean array in the given DataFrame.
DataFrame. pandas.DataFrame.get # DataFrame.get(key, default=None) [source] # Get item from object for given key (ex: DataFrame column). Returns default value if not found. Parameters: keyobject. Returns: same type as items contained in object. Examples.
2 Φεβ 2024 · df['col_name'].values[] to Get Value From a Cell of a Pandas Dataframe. We will introduce methods to get the value of a cell in Pandas DataFrame. They include iloc and iat. ['col_name'].values[] is also a solution especially if we don’t want to get the return type as pandas.Series.
Select specific rows and/or columns using loc when using the row and column names. Select specific rows and/or columns using iloc when using the positions in the table. You can assign new values to a selection based on loc / iloc.
4 Οκτ 2024 · Use .loc[] to get a cell value by row label and column label. Use .iloc[] to get a cell value by row and column index. at[] is a faster alternative for accessing a single cell using label-based indexing. .iat[] is similar to .at[], but uses integer-based indexing for faster access to a single cell.
As an example of what I am trying to do, I need to get the value of the name column for the row where the iata column equals 'PDX'. I can use airports[airports.iata == 'PDX'].name to retrieve the row I want:
