我正在尝试从看起来像这样的数据框中绘制一个简单的热图:
I am trying to plot a simple heatmap from a dataframe that looks like this:
row column content amount 0 x a c1 1 2 x b c3 3 4 x c c2 1 6 y a c1 1 8 y b c3 3 10 y c c2 1 12 z a c1 1 14 z b c3 3 16 z c c2 1row和column指示单元格的位置,应根据content选择其颜色,我希望工具提示显示content和amount.
row and column indicate the position of the cell, the color of it should be chosen based on content and I want tooltips displaying the content and the amount.
我目前这样尝试(使用bokeh 1.2.0):
I currently try it like this (using bokeh 1.2.0):
import pandas as pd from bokeh.io import show from bokeh.models import CategoricalColorMapper, LinearColorMapper, BasicTicker, PrintfTickFormatter, ColorBar, ColumnDataSource from bokeh.plotting import figure from bokeh.palettes import all_palettes from bokeh.transform import transform df = pd.DataFrame({ 'row': list('xxxxxxyyyyyyzzzzzz'), 'column': list('aabbccaabbccaabbcc'), 'content': ['c1', 'c2', 'c3', 'c1', 'c2', 'c3'] * 3, 'amount': list('123212123212123212')}) df = df.drop_duplicates(subset=['row', 'column']) source = ColumnDataSource(df) rows = df['row'].unique() columns = df['column'].unique() content = df['content'].unique() colors = all_palettes['Viridis'][max(len(content), 3)] mapper = CategoricalColorMapper(palette=colors, factors=content) TOOLS = "hover,save,pan,box_zoom,reset,wheel_zoom" p = figure(title="My great heatmap", x_range=columns, y_range=rows, x_axis_location="above", plot_width=600, plot_height=400, tools=TOOLS, toolbar_location='below', tooltips=[('cell content', '@content'), ('amount', '@amount')]) p.grid.grid_line_color = None p.axis.axis_line_color = None p.axis.major_tick_line_color = None p.axis.major_label_text_font_size = "5pt" p.axis.major_label_standoff = 0 p.rect(x="row", y="column", width=1, height=1, source=source, fill_color=transform('content', mapper)) # color_bar = ColorBar(color_mapper=mapper, major_label_text_font_size="5pt", # location=(0, 0)) # p.add_layout(color_bar, 'right') show(p)但是,有两个问题:
1)执行后,我得到一个空的热图:
1) When executed, I get an empty heatmap:
有什么想法吗?
2)当我超过color_bar = ...部分时,我收到一条错误消息:
2) When I outcomment the color_bar = ... part, I receive an error saying:
ValueError:预期为ContinuousColorMapper类型的实例,得到了 CategoricalColorMapper类型的CategoricalColorMapper(id ='3820',...)
ValueError: expected an instance of type ContinuousColorMapper, got CategoricalColorMapper(id='3820', ...) of type CategoricalColorMapper
我在做什么错了?
推荐答案您的 x 和 y 坐标被交换,应该是:
Your x and y coordindates are swapped, should be:
p.rect(x="column", y="row", ...)对于其他消息,它是不言自明的:从散景1.2开始,ColorBar只能配置有连续的颜色映射器(例如LinearColorMapper).您可以:
As for the other message, it is self-explanatory: As of Bokeh 1.2, ColorBar can only be configured with continuous color mappers (e.g. LinearColorMapper). You can either:
- 使用Python代码自己计算颜色,并在source中包含一列颜色,或者
- 重新绘制图以使用LinearColorMapper(即将content适当地映射到某个数字比例)
- compute colors yourself in Python code, and include a column of colors in source, or
- re-cast your plot to use a LinearColorMapper (i.e. map content appropriately to some numerical scale)
更多推荐
热图不显示
发布评论