带有个性化颜色的热图

2024-09-30 06:22:14 发布

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我正在寻找一种创建自定义热图的简单方法(在Python、R或Tableau中)。因为我需要颜色,我想不出如何使颜色个性化。在

基本上,我有一个.tsv文件,其中包含特性和它们的排名。例如,在同一个文件中,排名从1到10,从-1到-10。在

我要把零换成白色。然后,1和-1的颜色变暗,然后变亮。例如,我需要用深红色代表1,浅红色代表10,然后是深蓝色代表-1,浅蓝色代表-10。在

你知道我怎么得到这个结果吗?在


编辑: 我的数据是这样的:

structure(list(Features = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 
7L, 8L, 11L, 12L, 9L, 10L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 
20L, 21L), .Label = c("char_per_tok", "cpos_dist_AUX", "cpos_dist_NUM", 
"dep_dist_aux", "dep_dist_nummod", "dep_freq_aux", "dep_freq_nmod", 
"dep_freq_nummod", "in_dict", "in_dict_types", "in_FO", "in_FO_types", 
"itwac_forme", "itwac_lemmi", "n_prepositional_chains", "prep_dist_3", 
"prep_freq_1", "prep_freq_3", "subj_post", "verb_edges_dist_7", 
"verb_edges_freq_7"), class = "factor"), A10 = c(1L, -14L, -6L, 
-8L, -5L, -7L, 3L, -3L, -1L, -11L, -2L, -4L, 0L, 59L, 4L, -9L, 
2L, -10L, 0L, -13L, -12L), A11 = c(3L, -14L, -6L, -8L, -5L, -7L, 
4L, -4L, -1L, -11L, -2L, -3L, 1L, 2L, 0L, -9L, 5L, -10L, 0L, 
-13L, -12L), A12 = c(3L, 0L, -3L, -5L, -2L, -4L, 0L, -1L, 0L, 
0L, 0L, 0L, 1L, 2L, 0L, -6L, 0L, -7L, 0L, -9L, -8L), A13 = c(3L, 
0L, -3L, 0L, -2L, 0L, 0L, -1L, 0L, 0L, 0L, 0L, 1L, 2L, 0L, -4L, 
0L, -5L, 0L, 0L, 0L), A14 = c(1L, 0L, -3L, 0L, -2L, 0L, 0L, -1L, 
0L, 0L, 0L, 0L, 0L, 2L, 0L, -4L, 0L, -5L, 0L, 0L, 0L), A15 = c(2L, 
0L, -3L, 0L, -2L, 0L, 0L, -1L, 0L, 0L, 0L, 0L, 1L, 3L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L), A16 = c(0L, 0L, -4L, -5L, -1L, 0L, 0L, -2L, 
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, -3L, 0L, 0L)), .Names = c("Features", 
"A10", "A11", "A12", "A13", "A14", "A15", "A16"), class = "data.frame", row.names = c(NA, 
-21L))

Tags: 文件in颜色dist代表structuredicttypes
3条回答

在R中,可以使用scales包来生成颜色值。在

要生成颜色,请使用gradient_n_pal。为负值选择所需的颜色,为正值选择颜色,然后在它们之间放置"white"seq(0, 1, length.out = 21)创建一个长度为21的向量来设置衰落。在

gradient <- scales::gradient_n_pal(c("purple", "white", "green"))(seq(0, 1, length.out = 21))

这个简单的条形图显示了结果

^{pr2}$

enter image description here

在R中,您可以使用ggplot2库,geom_tile指定打印的内容,scale_fill_gradientn指定颜色。下面是一个例子:

#diamonds + column rank with a range of -10:10
library(ggplot2)
data(diamonds)
diamonds_1= data.frame(diamonds, rank = sample(c(-10:10), nrow(diamonds), replace = T))


ggplot(data = diamonds_1)+
  geom_tile(aes(color, cut, fill = rank))+
  scale_fill_gradientn(colors = c("lightblue", "blue", "white", "red", "pink"),
                       values = scales::rescale(c(-10, -1, 0, 1, 10)))+
  coord_equal()

enter image description here

编辑:使用提供的数据(我将其导入到对象z

^{pr2}$

enter image description here

要在表格中创建颜色图表:如果您想要每个等级的单独颜色,只需将[Ranking]维度拖动到color。如果您想要带状输出,您可以创建一个颜色键计算字段,首先通过创建一个新的计算字段为每个排名分配一个值,如:

If [Ranking] = -10 then "Cold"
ElseIf [Ranking] = -9 then "Cold"
ElseIf [Ranking] = -8 then "Cold"
ElseIf [Ranking] = -7 then "Cold"
ElseIf [Ranking] = -6 then "Cold"
ElseIf [Ranking] = -5 then "Warm"
ElseIf [Ranking] = -4 then "Warm"
ElseIf [Ranking] = -3 then "Warm"
ElseIf [Ranking] = -2 then "Warm"
ElseIf [Ranking] = -1 then "Warm"
ElseIf [Ranking] = -0 then "Warm"
ElseIf [Ranking] = 1 then "Warm"
ElseIf [Ranking] = 2 then "Warm"
ElseIf [Ranking] = 3 then "Warm"
ElseIf [Ranking] = 4 then "Warm"
ElseIf [Ranking] = 5 then "Hot"
ElseIf [Ranking] = 6 then "Hot"
ElseIf [Ranking] = 7 then "Hot"
ElseIf [Ranking] = 8 then "Hot"
ElseIf [Ranking] = 9 then "Hot"
ElseIf [Ranking] = 10 then "Hot"
else "Unknown ranking"  end

将此字段拖动到颜色,您可以对其应用您选择的口味。在

这是一种写计算字段的稍微冗长的方法,根据排名字段的格式,您可以使用between数字带代替,但是这样写可以清楚地看到每个分数的情况。在

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