[英]Plotly Animated Bar Graph Showing 1 subgroup only in Jupyter
問題:當我運行我的代碼時,只顯示一個狀態(子組)。 數據集很簡單,創建日期、狀態和計數。 我只能認為此時我的數據集可能有問題。 為什么它只顯示我擁有的三個狀態中的一個狀態,或者它可能更適合托管文件? 它似乎只是遍歷列表,直到最后才保持每個數據點完好無損。 另一個代碼塊在 github 上運行良好。
我的數據集示例:
Status,Create Date,Count
None,17-Apr-12,8
None,30-Apr-12,9
None,23-Aug-12,10
None,3-Oct-12,11
None,9-Jan-13,12
None,29-Jan-13,13
QBOS,31-Jan-13,1
QBDS,1-Feb-13,1
我的代碼:
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
df = pd.read_csv('qb7.csv')
df.columns = ['Status','Create Date','Count']
includes=['None','QBDS', 'QBOS']
df=df[df['Status'].isin(includes)]
df['Create Date']= pd.to_datetime(df['Create Date']).dt.strftime('%Y-%m-%d')
fig = px.bar(df,
x="Status",
y="Count",
color="Status",
animation_frame="Create Date", hover_name="Status",
range_y=[0,8000])
fig.show()
``
我想制作的示例:
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
df = pd.read_csv('https://raw.githubusercontent.com/shinokada/covid-19-stats/master/data/daily-new-
confirmed-cases-of-covid-19-tests-per-case.csv')
df.columns = ['Country','Code','Date','Confirmed','Days since confirmed']
includes=['United States','Russia', 'India','Brazil']
df=df[df['Country'].isin(includes)]
df['Date']= pd.to_datetime(df['Date']).dt.strftime('%Y-%m-%d')
fig = px.bar(df, x="Country", y="Confirmed", color="Country",
animation_frame="Date", animation_group="Country", range_y=[0,35000])
fig.show()`
我認為它沒有顯示預期圖表的原因是因為數據數量不同。 當數據數量對齊時,可以達到預期的結果。
import pandas as pd
import numpy as np
import io
data = '''
Status,Create Date,Count
None,17-Apr-12,8
None,30-Apr-12,9
None,23-Aug-12,10
None,3-Oct-12,11
None,9-Jan-13,12
None,29-Jan-13,13
QBOS,17-Apr-12,8
QBOS,30-Apr-12,9
QBOS,23-Aug-12,10
QBOS,3-Oct-12,11
QBOS,9-Jan-13,12
QBOS,29-Jan-13,13
QBDS,17-Apr-12,8
QBDS,30-Apr-12,9
QBDS,23-Aug-12,10
QBDS,3-Oct-12,11
QBDS,9-Jan-13,12
QBDS,29-Jan-13,13
'''
df = pd.read_csv(io.StringIO(data), sep=',')
import plotly.graph_objects as go
import plotly.express as px
# df = pd.read_csv('qb7.csv')
df.columns = ['Status','Create Date','Count']
includes=['None','QBDS', 'QBOS']
df=df[df['Status'].isin(includes)]
df['Create Date']= pd.to_datetime(df['Create Date']).dt.strftime('%Y-%m-%d')
fig = px.bar(df,
x="Status",
y="Count",
color="Status",
animation_frame="Create Date", hover_name="Status",
range_y=[0,30])
fig.show()
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