method description count number of non-na values describe compute set of summary statistics for series or each dataframe column minmax compute minimum and maximum values argminargmax compute index locations (integersat which minimum or maximum value obtainedrespectively idxminidxmax compute index values at which minimum or maximum value obtainedrespectively quantile compute sample quantile ranging from to sum sum of values mean mean of values median arithmetic median ( quantileof values mad mean absolute deviation from mean value var sample variance of values std sample standard deviation of values skew sample skewness ( rd momentof values kurt sample kurtosis ( th momentof values cumsum cumulative sum of values cummincummax cumulative minimum or maximum of valuesrespectively cumprod cumulative product of values diff compute st arithmetic difference (useful for time seriespct_change compute percent changes correlation and covariance some summary statisticslike correlation and covarianceare computed from pairs of arguments let' consider some dataframes of stock prices and volumes obtained from yahoofinanceimport pandas io data as web all_data {for ticker in ['aapl''ibm''msft''goog']all_data[tickerweb get_data_yahoo(ticker''''price dataframe({ticdata['adj close'for ticdata in all_data iteritems()}volume dataframe({ticdata['volume'for ticdata in all_data iteritems()} now compute percent changes of the pricesin [ ]returns price pct_change(in [ ]returns tail(summarizing and computing descriptive statistics www it-ebooks info