DataFrame.iterrows() [source] Iterate over DataFrame rows as (index, Series) pairs. Returns: it : generator A generator that iterates over the rows of the frame. See also itertuples Iterate over DataFrame rows as namedtuples of the values. iteritems Iterate over (column name, Series) pairs. Notes Because iterrows returns a Series for each row, it does not preserve dtypes across the rows (dtypes are preserved across columns for DataFrames). For example, >>> df = pd.Data

DataFrame.iterkv(*args, **kwargs) [source] iteritems alias used to get around 2to3. Deprecated

DataFrame.iteritems() [source] Iterator over (column name, Series) pairs. See also iterrows Iterate over DataFrame rows as (index, Series) pairs. itertuples Iterate over DataFrame rows as namedtuples of the values.

DataFrame.is_copy = None

DataFrame.isnull() [source] Return a boolean same-sized object indicating if the values are null. See also notnull boolean inverse of isnull

DataFrame.isin(values) [source] Return boolean DataFrame showing whether each element in the DataFrame is contained in values. Parameters: values : iterable, Series, DataFrame or dictionary The result will only be true at a location if all the labels match. If values is a Series, that?s the index. If values is a dictionary, the keys must be the column names, which must match. If values is a DataFrame, then both the index and column labels must match. Returns: DataFrame of booleans Exa

DataFrame.irow(i, copy=False) [source] DEPRECATED. Use .iloc[i] instead

DataFrame.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs) [source] Interpolate values according to different methods. Please note that only method='linear' is supported for DataFrames/Series with a MultiIndex. Parameters: method : {?linear?, ?time?, ?index?, ?values?, ?nearest?, ?zero?, ?slinear?, ?quadratic?, ?cubic?, ?barycentric?, ?krogh?, ?polynomial?, ?spline?, ?piecewise_polynomial?, ?from_derivatives?, ?pchip?, ?a

DataFrame.insert(loc, column, value, allow_duplicates=False) [source] Insert column into DataFrame at specified location. If allow_duplicates is False, raises Exception if column is already contained in the DataFrame. Parameters: loc : int Must have 0 <= loc <= len(columns) column : object value : scalar, Series, or array-like

DataFrame.info(verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None) [source] Concise summary of a DataFrame. Parameters: verbose : {None, True, False}, optional Whether to print the full summary. None follows the display.max_info_columns setting. True or False overrides the display.max_info_columns setting. buf : writable buffer, defaults to sys.stdout max_cols : int, default None Determines whether full summary or short summary is printed. None follows the displa