以下是我迄今为止的数据和可视化:
import pandas as pd
import plotly.express as px
# intialise data of lists.
data = {'Subreddit':["90DayFiance","Anarchism","Animemes","AskALiberal",
"AskALiberal","AskReddit","AskReddit","AskReddit","AskReddit","AskTeenGirls","CatastrophicFailure",
"Conservative","Deji","DhGateReps","DontFundMe","Drama","Drizzy","DuggarsSnark",
"Eminem","Enough_Sanders_Spam","Enough_Sanders_Spam","Enough_Sanders_Spam","Enough_Sanders_Spam",
"FixedPoliticalMemes"],
'Date':["2020-07-08 00:00:00-04:00","2020-07-08 00:00:00-04:00","2020-07-08 00:00:00-04:00",
"2020-07-09 00:00:00-04:00","2020-07-09 00:00:00-04:00","2020-07-09 00:00:00-04:00",
"2020-07-09 00:00:00-04:00","2020-07-04 00:00:00-04:00","2020-07-04 00:00:00-04:00",
"2020-07-04 00:00:00-04:00","2020-07-04 00:00:00-04:00","2020-07-10 00:00:00-04:00",
"2020-07-10 00:00:00-04:00","2020-07-10 00:00:00-04:00","2020-07-10 00:00:00-04:00",
"2020-07-10 00:00:00-04:00","2020-07-10 00:00:00-04:00","2020-07-18 00:00:00-04:00",
"2020-07-18 00:00:00-04:00","2020-07-18 00:00:00-04:00","2020-07-09 00:00:00-04:00",
"2020-07-09 00:00:00-04:00","2020-07-08 00:00:00-04:00","2020-07-10 00:00:00-04:00"],
'Count':["3","2","2","2","2","3","5","6","12","7","2","7","4","3","5","3","5","15","5","4","2","3","5",'5'],
'Day':["08", "08", "08", "09", "09", "09", "09", "04", "04", "04", "04", "10", "10", "10", "10",
"10", "10", "18", "18", "18", "09", "09", "08", "10"]}
# Create DataFrame
df = pd.DataFrame(data)
fig = px.bar(df,
x="Subreddit",
y="Count",
animation_frame="Day",
animation_group="Subreddit",
range_y=[0, 50])
fig.show()
有没有办法使滑块响应日期?到目前为止,我只是把这一天作为虚拟的一天来代表这一天,但显然我更愿意在时间上从早一点滑到晚一点,并显示每天每个子Reddit的频率
我认为这是因为时间序列数据没有排序。 如果您想知道,我将日期列转换为日期格式,然后在排序之前使用仅日期信息对其进行更新
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