ó áp7]c @sdZddlmZmZmZmZddlZddlm Z ddl j j Z ej dddddddddd„ Zd„ZdS( s@ Authors: Josef Perktold, Skipper Seabold, Denis A. Engemann iÿÿÿÿ(titerkeystlrangetzipt iteritemsN(trainbowtbtbestc  KsXddlm}tj|ƒ\}}|p:t|ddƒ}d|j|f}|pet|ddƒ}| p}t|ddƒ} |j|ƒ|j|ƒd}}t |dt ƒr gt j |ƒD] }|^qÇ}t t|ƒƒ}t|tt||ƒƒƒ}n|td |d |d|ƒƒ}|jd d gƒj|ƒjƒ}t|d j ƒƒ}| dkr€d g|n| } | dkrŸd g|n| } |dkr½t|ƒn|}t| ƒ|krätd ƒ‚nt| ƒ|krtdƒ‚nt|ƒ|kr&tdƒ‚n|dks>|dkrÆxÁt|jd gƒƒD]h\}\}}t |d jdƒ}|j|d |dd||d| |d|d| || qWWn<|dksÞ|dkr\x!t|jd gƒƒD]^\}\}}t |d jdƒ}|j|d |dd||d|d| || q÷Wn¦|dkst|dkròx‹t|jd gƒƒD]^\}\}}t |d jdƒ}|j|d |dd||d|d| || qWntd|ƒ‚|jd| d| ƒ|jdƒt||gƒrT|j|ƒ|j|ƒn|S(s Interaction plot for factor level statistics. Note. If categorial factors are supplied levels will be internally recoded to integers. This ensures matplotlib compatiblity. uses pandas.DataFrame to calculate an `aggregate` statistic for each level of the factor or group given by `trace`. Parameters ---------- x : array-like The `x` factor levels constitute the x-axis. If a `pandas.Series` is given its name will be used in `xlabel` if `xlabel` is None. trace : array-like The `trace` factor levels will be drawn as lines in the plot. If `trace` is a `pandas.Series` its name will be used as the `legendtitle` if `legendtitle` is None. response : array-like The reponse or dependent variable. If a `pandas.Series` is given its name will be used in `ylabel` if `ylabel` is None. func : function Anything accepted by `pandas.DataFrame.aggregate`. This is applied to the response variable grouped by the trace levels. plottype : str {'line', 'scatter', 'both'}, optional The type of plot to return. Can be 'l', 's', or 'b' ax : axes, optional Matplotlib axes instance xlabel : str, optional Label to use for `x`. Default is 'X'. If `x` is a `pandas.Series` it will use the series names. ylabel : str, optional Label to use for `response`. Default is 'func of response'. If `response` is a `pandas.Series` it will use the series names. colors : list, optional If given, must have length == number of levels in trace. linestyles : list, optional If given, must have length == number of levels in trace. markers : list, optional If given, must have length == number of lovels in trace kwargs These will be passed to the plot command used either plot or scatter. If you want to control the overall plotting options, use kwargs. Returns ------- fig : Figure The figure given by `ax.figure` or a new instance. Examples -------- >>> import numpy as np >>> np.random.seed(12345) >>> weight = np.random.randint(1,4,size=60) >>> duration = np.random.randint(1,3,size=60) >>> days = np.log(np.random.randint(1,30, size=60)) >>> fig = interaction_plot(weight, duration, days, ... colors=['red','blue'], markers=['D','^'], ms=10) >>> import matplotlib.pyplot as plt >>> plt.show() .. plot:: import numpy as np from statsmodels.graphics.factorplots import interaction_plot np.random.seed(12345) weight = np.random.randint(1,4,size=60) duration = np.random.randint(1,3,size=60) days = np.log(np.random.randint(1,30, size=60)) fig = interaction_plot(weight, duration, days, colors=['red','blue'], markers=['D','^'], ms=10) import matplotlib.pyplot as plt #plt.show() iÿÿÿÿ(t DataFrametnametresponses%s of %stXtTraceitxttracet-t.s(Must be a linestyle for each trace levels%Must be a marker for each trace levels$Must be a color for each trace leveltbothRtcolortmarkertlabelt linestyletlinetltscattertssPlot type %s not understoodtlocttitlegš™™™™™¹?N( tpandasRtutilst create_mpl_axtgetattrt__name__t set_ylabelt set_xlabeltNonet isinstancetstrtnptuniqueRtlent_recodetdictRtgroupbyt aggregatet reset_indexRt ValueErrort enumeratetvaluestplotRtlegendtmarginstallt set_xtickstset_xticklabels(R R R tfunctaxtplottypetxlabeltylabeltcolorstmarkerst linestylest legendloct legendtitletkwargsRtfigt response_nametx_valuestx_levelsRtdatat plot_datatn_tracetiR/tgroupR((s?lib/python2.7/site-packages/statsmodels/graphics/factorplots.pytinteraction_plot s`O   "!!$+!+!+!  cCsHddlm}d }d }t||ƒrI|j}|j}|j}n|jjt j t j gkrvt dƒ‚nÎt|t ƒs”t dƒ‚n°t j|ƒt jtt|ƒƒƒkjƒsÓt dƒ‚nqt j|jddt jƒ}x*t|ƒD]\}}||||ks"