def __plot_con_notebook(self, split_n)->pyecharts.charts.Bar:
"""
调用echarts,连续变量
:param split_n:
:return:
"""
data = self.data[~np.isnan(self.X)]
data.sort_values('X',inplace=True)
X = data['X'].values
y = data['y'].values
max_x = max(X)
min_x = min(X)
freq,edge = np.histogram(X, np.linspace(min_x, max_x, split_n+1))
freq = np.round(freq/data.shape[0] *100,2)
# print(freq)
# print(edge)
bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK))
bar.load_javascript()
bar.add_xaxis([('（' + str(int(edge[i])) + ' , ' + str(int((edge[i + 1]))) + ']') if i else (
'[' + str(int(edge[i])) + ' , ' + str(int((edge[i + 1]))) + ']') for i in range(len(edge) - 1)])
bar.add_yaxis(self.var_name, freq.tolist(), category_gap=1, )
bar.set_global_opts(title_opts=opts.TitleOpts(title=self.var_name),
datazoom_opts=opts.DataZoomOpts(is_show=True),
xaxis_opts=opts.AxisOpts(name_location='end', name='Groups'),
yaxis_opts=opts.AxisOpts(name_location='end', name='%'),
)
bar.set_series_opts(label_opts=opts.LabelOpts(is_show=True))
return bar
def show(x: list, y: list, title: str = "键盘键入统计"):
bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.WONDERLAND))
bar.add_xaxis(x)
bar.add_yaxis("", y, category_gap="60%")
bar.set_series_opts(
itemstyle_opts={
"normal": {
"color":
JsCode("""new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
offset: 0,
color: 'rgba(0, 244, 255, 1)'
}, {
offset: 1,
color: 'rgba(250, 177, 160, 1)'
}], false)"""),
"barBorderRadius": [30, 30, 30, 30],
"shadowColor":
"rgb(0, 160, 221)",
}
})
bar.set_global_opts(
title_opts=opts.TitleOpts(title=title),
datazoom_opts=[opts.DataZoomOpts(),
opts.DataZoomOpts(type_="inside")],
)
bar.load_javascript()
bar.render_notebook()
return Markup(bar.render_embed())
def __plot_cat_notebook(self):
data = pd.value_counts(self.X)
x = list(data.index.values)
values = list(data.values / np.sum(data.values) * 100)
bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK))
bar.load_javascript()
bar.add_xaxis([i for i in x])
bar.add_yaxis("1", [round(i, 2) for i in values])
bar.set_global_opts(title_opts=opts.TitleOpts(title=self.var_name),
xaxis_opts=opts.AxisOpts(name_location='end', name='%'),
yaxis_opts=opts.AxisOpts(name_location='end', name='Groups'),
)
bar.reversal_axis()
bar.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position="right"))
return bar
