פונקציות pandas נפוצות

categoy	name	use
Creation
	pd.DataFrame	create a new dataframe from numpy array/dictionary. Can provide row and column names
	pd.Series	create a new Series object from numpy array/dictionary. Can provide names
	pd.read_csv	read a dataframe from csv file
	df.to_csv	write a dataframe to a csv file
Basic information
	df.info	print a summary of the dataframe: column names, dtypes, number of existing (non Na) values, etc.
	df.head	return the first rows of a dataframe
	df.tail	return the last rows of a dataframe
	df.sample	return the random rows from a dataframe
Data access
	df.index	get row labels of dataframe
	df.columns	get column labels of dataframe
	df.loc	get dataframe subset by labels
	df.iloc	get dataframe subset by position
Manipulation
	df.drop	remove rows or columns by label name
	df.apply	apply a function on all rows/columns of a dataframe
	df.map	apply a function on all values in a dataframe
	df.sort_values	sort table rows according to the values over a column, or table columns according to the values across a row
Fusion
	pd.concat	concatanate dataframes along an axis
	pd.merge	merge the columns of two dataframes based on
misc.
	df.groupby	split dataframe rows according to the values of some column. should be followed by a summary operation which will result in a single dataframe again
Aggregation
	df.max	return the largest value along an axis
	df.min	return the smallest value along an axis
	df.idxmax	return the index of the largest value along an axis
	df.idxmin	return the index of the smallest value along an axis
	df.mean	return the mean value along an axis
	df.median	return the median value along an axis
	df.sum	return the sum total along an axis
	df.count	return the number of existing (not Na) values along an axis