plotting.py 文件源码

python
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项目:fitbit-analyzer 作者: 5agado 项目源码 文件源码
def _plotWeekdayStats(stats, columns, groupBy=True):
    dataToPlot = stats.copy()
    # Group by weekday and rename date column
    if groupBy:
        dataToPlot = dataToPlot.groupby(stats['date'].dt.weekday).mean()
        dataToPlot = dataToPlot.reset_index().rename(columns={'date':'weekday'})

    # change stats from columns to row attribute
    dataToPlot = pd.melt(dataToPlot, id_vars=['weekday'], value_vars=columns,
                         var_name='stats', value_name='val')
    # Rename stats and weekdays
    dataToPlot['stats'].replace(NAMES, inplace=True)
    dataToPlot['weekday'].replace(dayOfWeek, inplace=True)
    # Plot
    g = sns.factorplot(data=dataToPlot, x="weekday", y="val", col="stats",
                       order=dayOfWeekOrder, kind="point", sharey=False, col_wrap=3)
    g.set_xticklabels(rotation=45)
    g.set(xlabel='')
    return g
    #sns.plt.show()
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