散景热图的用法 [英] Bokeh heatmap usage
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问题描述
我有一些带有时间戳的事件，想创建一个热图:
I have an array of certain events with time stamp and want to create a heatmap:
- x轴应代表日期，例如'2016-02-03'， y轴应表示发生的小时数，即13(如果13:32)，
- 颜色应取决于发生的事件的数量.
- x axis should represent the date, f.e. '2016-02-03',
- y axis should represent the hour of occurrence, f.e. 13 (if 13:32),
- the color should depend on the count of occurred event.
我的数据(作为pandas数据框z.head()):
My data (as pandas dataframe z.head()):
date hour i
0 2016-01-15 13 1
1 2016-01-15 13 1
2 2016-01-15 12 1
3 2016-01-15 10 1
4 2016-01-15 10 1
我的尝试失败:
from bokeh._legacy_charts import HeatMap, output_file, show
hm = HeatMap(z.head(), x='date', y='hour', values='i', stat='count')
还有一个例外:
AttributeError Traceback (most recent call last)
<ipython-input-98-83c7e9319496> in <module>()
----> 1 hm = HeatMap(z.head(), x='date', y='hour', values='i', stat='count')
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/builders/heatmap_builder.py in HeatMap(data, x, y, values, stat, xgrid, ygrid, hover_tool, hover_text, **kw)
90 kw['values'] = values
91 kw['stat'] = stat
---> 92 chart = create_and_build(HeatMapBuilder, data, xgrid=xgrid, ygrid=ygrid, **kw)
93
94 if hover_tool:
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/builder.py in create_and_build(builder_class, *data, **kws)
65 chart_kws = { k:v for k,v in kws.items() if k not in builder_props}
66 chart = Chart(**chart_kws)
---> 67 chart.add_builder(builder)
68 chart.start_plot()
69
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/chart.py in add_builder(self, builder)
150 def add_builder(self, builder):
151 self._builders.append(builder)
--> 152 builder.create(self)
153
154 def add_ranges(self, dim, range):
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/builder.
510 # call methods that allow customized setup by subc
511 self.setup()
--> 512 self.process_data()
513
514 # create and add renderers to chart
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/builders
169 # color by the values selection
170 self.attributes['color'].setup(data=self._data.sou
--> 171 columns=self.values
172 self.attributes['color'].add_bin_labels(self._data
173
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/attribut
187
188 if self.columns is not None and self.data is not N
--> 189 self.attr_map = self._create_attr_map(self.dat
190
191 def update_data(self, data):
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/attribut
158 """Creates map between unique values and available
159
--> 160 self._generate_items(df, columns)
161 iterable = self._setup_iterable()
162
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/attribut
230
231 self.bins = Bins(source=ColumnDataSource(d
--> 232 bin_count=len(self.iterab
233
234 if self.sort:
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/stats.py
309 properties['source'] = source
310
--> 311 super(Bins, self).__init__(**properties)
312
313 def _get_stat(self):
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/stats.py
54
55 super(Stat, self).__init__(**properties)
---> 56 self._refresh()
57
58 def _refresh(self):
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/stats.py
60 if self.get_data() is not None:
61 self.update()
---> 62 self.calculate()
63
64 def set_data(self, data, column=None):
/home/user/.local/lib/python3.4/site-packages/bokeh/charts/stats.py
342 if self.source is not None:
343 # add bin column to data source
--> 344 self.source.add(binned.tolist(), name=self.bin
345 df = self.source.to_df()
346 else:
AttributeError: 'Categorical' object has no attribute 'tolist'
Bokeh的版本为0.11，随pip3一起安装. 我究竟做错了什么?谢谢.
Bokeh is in the version 0.11, installed with pip3. What am I doing wrong? Thank you.
- 我在legacy_charts上的坏处(复制的错误行).
- 我已经重新安装了bokeh
pip3 install --user --force-reinstall --upgrade bokeh.仍然没有喜悦.
- My bad on the legacy_charts (copied wrong line).
- I have reinstalled bokeh
pip3 install --user --force-reinstall --upgrade bokeh. Still no joy.
整个代码:
import pandas as pd
from bokeh.charts import HeatMap, output_file, show
z = pd.DataFrame()
z['date'] = ['2016-01-15', '2016-01-13', '2016-01-11', '2016-01-14', '2016-01-15']
z['hour'] = [12, 10, 11, 3, 0]
z['i'] = [1, 1, 1, 1, 1]
output_file('/tmp/test.html')
hm = HeatMap(z, x='date', y='hour', stat='count')
show(hm)
并使用python3运行:
And running using python3:
Traceback (most recent call last):
File "so.py", line 10, in <module>
hm = HeatMap(z, x='date', y='hour', stat='count')
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/builders/heatmap_builder.py", line 92, in HeatMap
chart = create_and_build(HeatMapBuilder, data, xgrid=xgrid, ygrid=ygrid, **kw)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/builder.py", line 67, in create_and_build
chart.add_builder(builder)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/chart.py", line 152, in add_builder
builder.create(self)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/builder.py", line 512, in create
self.process_data()
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/builders/heatmap_builder.py", line 171, in process_data
columns=self.values.selection)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/attributes.py", line 189, in setup
self.attr_map = self._create_attr_map(self.data.to_df(), self.columns)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/attributes.py", line 160, in _create_attr_map
self._generate_items(df, columns)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/attributes.py", line 232, in _generate_items
bin_count=len(self.iterable), aggregate=False)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/stats.py", line 311, in __init__
super(Bins, self).__init__(**properties)
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/stats.py", line 56, in __init__
self._refresh()
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/stats.py", line 62, in _refresh
self.calculate()
File "/home/ktx/.local/lib/python3.4/site-packages/bokeh/charts/stats.py", line 344, in calculate
self.source.add(binned.tolist(), name=self.bin_column)
AttributeError: 'Categorical' object has no attribute 'tolist'
推荐答案
bigreddot是正确的.如果您使用的是0.11，则不应使用legacy_charts.正确更新Bokeh后，它应该可以工作:
bigreddot is right. If you have 0.11, you shouldn't have legacy_charts. Once you properly update Bokeh, this should work:
from bokeh.charts import HeatMap, output_file, show
import pandas as pd
output_file('test.html')
hm = HeatMap(z, x='date', y='hour', values='i', stat='count')
show(hm)
这篇关于散景热图的用法的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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