When this parameter is used, it implies that the default of This parameter is interpreted either as the number ofĮvenly-sized (not necessary spaced) bins or the positions of the binĬenters.

The scatterplot is drawn the regression is still fit to the originalĭata. x_bins int or vector, optionalīin the x variable into discrete bins and then estimate the central If x_ci is given, this estimate will be bootstrapped and aĬonfidence interval will be drawn. This is useful when x is a discrete variable. x_estimator callable that maps vector -> scalar, optionalĪpply this function to each unique value of x and plot the Tidy (“long-form”) dataframe where each column is a variable and each When pandas objects are used, axes will be labeled with If strings, these should correspond with column names

Parameters : x, y: string, series, or vector array There are a number of mutually exclusive options for estimating the Plot data and a linear regression model fit. regplot ( data = None, *, x = None, y = None, x_estimator = None, x_bins = None, x_ci = 'ci', scatter = True, fit_reg = True, ci = 95, n_boot = 1000, units = None, seed = None, order = 1, logistic = False, lowess = False, robust = False, logx = False, x_partial = None, y_partial = None, truncate = True, dropna = True, x_jitter = None, y_jitter = None, label = None, color = None, marker = 'o', scatter_kws = None, line_kws = None, ax = None ) #