pandas.eval(expr, parser='pandas', engine=None, truediv=True, local_dict=None, global_dict=None, resolvers=(), level=0, target=None, inplace=None) [source] Evaluate a Python expression as a string using various backends. The following arithmetic operations are supported: +, -, *, /, **, %, // (python engine only) along with the following boolean operations: | (or), & (and), and ~ (not). Additionally, the 'pandas' parser allows the use of and, or, and not with the same semantics as the c

DataFrame.iat Fast integer location scalar accessor. Similarly to iloc, iat provides integer based lookups. You can also set using these indexers.

TimedeltaIndex.sym_diff(*args, **kwargs) [source]

CategoricalIndex.view(cls=None) [source]

CategoricalIndex.inferred_type

Panel.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?, ?akima

Series.dt.nanoseconds Number of nanoseconds (>= 0 and less than 1 microsecond) for each element.

DataFrame.first_valid_index() [source] Return label for first non-NA/null value

Series.add_suffix(suffix) [source] Concatenate suffix string with panel items names. Parameters: suffix : string Returns: with_suffix : type of caller

DatetimeIndex.nunique(dropna=True) [source] Return number of unique elements in the object. Excludes NA values by default. Parameters: dropna : boolean, default True Don?t include NaN in the count. Returns: nunique : int