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doc_Pandas
doc_Pandas


Index.set_value()

Index.set_value(arr, key, value) [source] Fast lookup of value from 1-dimensional ndarray. Only use this if you know what you?re doing

Resampler.std()

Resampler.std(ddof=1, *args, **kwargs) [source] Compute standard deviation of groups, excluding missing values Parameters: ddof : integer, default 1 degrees of freedom

TimedeltaIndex.is_all_dates

TimedeltaIndex.is_all_dates

DataFrame.is_copy

DataFrame.is_copy = None

CategoricalIndex.is_lexsorted_for_tuple()

CategoricalIndex.is_lexsorted_for_tuple(tup) [source]

Index.sort()

Index.sort(*args, **kwargs) [source]

Panel.pop()

Panel.pop(item) [source] Return item and drop from frame. Raise KeyError if not found.

pandas.read_sql_query()

pandas.read_sql_query(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, chunksize=None) [source] Read SQL query into a DataFrame. Returns a DataFrame corresponding to the result set of the query string. Optionally provide an index_col parameter to use one of the columns as the index, otherwise default integer index will be used. Parameters: sql : string SQL query or SQLAlchemy Selectable (select or text object) to be executed. con : SQLAlchemy connectable(engine

Series.dt.days

Series.dt.days Number of days for each element.

DatetimeIndex.name

DatetimeIndex.name = None

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