[英]How to create FusionCharts heatmap from a list of dictionaries?
我想在 python 中使用 FusionCharts 热图显示以下数据:
[{'day_of_like': 'Monday', 'hours_of_like': 18, 'avg_of_likes': 8}, {'day_of_like': 'Monday', 'hours_of_like': 23, 'avg_of_likes': 5}]
但我在 FusionCharts 网站上找不到这方面的指南。 我怎样才能使用 python 做到这一点?
seaborn.heatmap
来说明示例。pandas.json_normalize
将dict
的list
转换为面板数据形式。pandas.DataFrame.to_json
来完成,它输出一个 JSON 字符串,或者通过pandas.DataFrame.to_dict()
来完成,它输出一个 python dict
。import pandas as pd
import seaborn as sns
# list of dictionaries
data = [{'day_of_like': 'Monday', 'hours_of_like': 18, 'avg_of_likes': 8}, {'day_of_like': 'Monday', 'hours_of_like': 23, 'avg_of_likes': 5}]
# convert to dataframe
df = pd.json_normalize(data)
# save the data to a csv if needed
df.to_csv('test.csv', index=False)
# display(df)
day_of_like hours_of_like avg_of_likes
0 Monday 18 8
1 Monday 23 5
# to json
df.to_json()
[out]:
'{"day_of_like":{"0":"Monday","1":"Monday"},"hours_of_like":{"0":18,"1":23},"avg_of_likes":{"0":8,"1":5}}'
# to dict
df.to_dict()
[out]:
{'day_of_like': {0: 'Monday', 1: 'Monday'}, 'hours_of_like': {0: 18, 1: 23}, 'avg_of_likes': {0: 8, 1: 5}}
# plot
sns.heatmap(df[['hours_of_like', 'avg_of_likes']])
根据共享的数据,看起来您必须复制 day_of_like 属性,您需要设置一个唯一值或为每个重复键设置一个唯一值,这里是 FusionCharts 中相同的 JavaScript 表示 - http://jsfiddle.net /j3r0avhz/3/
"dataset": [{
"data": [{
"rowid": "hl",
"columnid": "1",
"value": "18",
"colorRangeLabel": "Bad"
},
{
"rowid": "al",
"columnid": "1",
"value": "8",
"colorRangeLabel": "Bad"
},
{
"rowid": "hl",
"columnid": "2",
"value": "23",
"colorRangeLabel": "Good"
},
{
"rowid": "al",
"columnid": "2",
"value": "5",
"colorRangeLabel": "Bad"
}
]
}]
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