¿Cómo ordenar etiquetas de ejes angulares y radiales en el gráfico Plotly scatter_polar?
Tengo una serie de datos de tiempo de los cuales estoy extrayendo recuentos por hora de los días laborables. Y para visualizar los datos me encontré con un ejemplo de Echart . ¿Es posible crear algo como el ejemplo de echart usando Plotly?
Data de muestra
timeData = ['2009/6/12 5:00', '2009/6/12 7:00', '2009/6/12 9:00', '2009/6/12 13:00', '2009/6/12 15:00', '2009/6/12 17:00', '2009/6/12 21:00', '2009/6/13 1:00', '2009/6/13 5:00', '2009/6/13 7:00', '2009/6/13 9:00', '2009/6/13 13:00', '2009/6/13 15:00', '2009/6/13 17:00', '2009/6/13 21:00', '2009/6/14 1:00', '2009/6/14 5:00', '2009/6/14 7:00', '2009/6/14 9:00', '2009/6/14 13:00', '2009/6/14 15:00', '2009/6/14 17:00', '2009/6/14 21:00', '2009/6/15 1:00', '2009/6/15 5:00', '2009/6/15 7:00', '2009/6/15 9:00', '2009/6/15 13:00', '2009/6/15 15:00', '2009/6/15 17:00', '2009/6/15 21:00', '2009/6/16 1:00', '2009/6/16 5:00', '2009/6/16 7:00', '2009/6/16 9:00', '2009/6/16 13:00', '2009/6/16 15:00', '2009/6/16 17:00', '2009/6/16 21:00', '2009/6/17 1:00', '2009/6/17 5:00', '2009/6/17 7:00', '2009/6/17 9:00', '2009/6/17 13:00', '2009/6/17 15:00', '2009/6/17 17:00', '2009/6/17 21:00', '2009/6/18 1:00', '2009/6/18 5:00', '2009/6/18 7:00', '2009/6/18 9:00', '2009/6/18 13:00', '2009/6/18 15:00', 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'2009/9/4 23:00', '2009/9/5 3:00', '2009/9/5 5:00', '2009/9/5 7:00', '2009/9/5 11:00', '2009/9/5 15:00', '2009/9/5 19:00', '2009/9/5 21:00', '2009/9/5 23:00', '2009/9/6 3:00', '2009/9/6 5:00', '2009/9/6 7:00', '2009/9/6 11:00', '2009/9/6 15:00', '2009/9/6 19:00', '2009/9/6 21:00', '2009/9/6 23:00', '2009/9/7 3:00', '2009/9/7 5:00', '2009/9/7 7:00', '2009/9/7 11:00', '2009/9/7 15:00', '2009/9/7 19:00', '2009/9/7 21:00', '2009/9/7 23:00', '2009/9/8 3:00', '2009/9/8 5:00', '2009/9/8 7:00', '2009/9/8 11:00', '2009/9/8 15:00', '2009/9/8 19:00', '2009/9/8 21:00', '2009/9/8 23:00', '2009/9/9 3:00', '2009/9/9 5:00', '2009/9/9 7:00', '2009/9/9 11:00', '2009/9/9 15:00', '2009/9/9 19:00', '2009/9/9 21:00', '2009/9/9 23:00', '2009/9/10 3:00', '2009/9/10 5:00', '2009/9/10 7:00', '2009/9/10 11:00', '2009/9/10 15:00', '2009/9/10 19:00', '2009/9/10 21:00', '2009/9/10 23:00', '2009/9/11 3:00', '2009/9/11 5:00', '2009/9/11 7:00', '2009/9/11 11:00', '2009/9/11 15:00', '2009/9/11 19:00', '2009/9/11 21:00', '2009/9/11 23:00', '2009/9/12 3:00', '2009/9/12 5:00', '2009/9/12 7:00', '2009/9/12 11:00', '2009/9/12 15:00', '2009/9/12 19:00', '2009/9/12 21:00', '2009/9/12 23:00', '2009/9/13 3:00', '2009/9/13 5:00', '2009/9/13 7:00', '2009/9/13 11:00', '2009/9/13 15:00', '2009/9/13 19:00', '2009/9/13 21:00', '2009/9/13 23:00', '2009/9/14 3:00', '2009/9/14 5:00', '2009/9/14 7:00', '2009/9/14 11:00', '2009/9/14 15:00', '2009/9/14 19:00', '2009/9/14 21:00', '2009/9/14 23:00', '2009/9/15 3:00', '2009/9/15 5:00', '2009/9/15 7:00', '2009/9/15 11:00', '2009/9/15 15:00', '2009/9/15 19:00', '2009/9/15 21:00', '2009/9/15 23:00', '2009/9/16 3:00', '2009/9/16 5:00', '2009/9/16 7:00', '2009/9/16 11:00', '2009/9/16 15:00', '2009/9/16 19:00', '2009/9/16 21:00', '2009/9/16 23:00', '2009/9/17 3:00', '2009/9/17 5:00', '2009/9/17 7:00', '2009/9/17 11:00', '2009/9/17 15:00', '2009/9/17 19:00', '2009/9/17 21:00', '2009/9/17 23:00', '2009/9/18 3:00', '2009/9/18 5:00', '2009/9/18 7:00', '2009/9/18 11:00', '2009/9/18 15:00', '2009/9/18 19:00', '2009/9/18 21:00', '2009/9/18 23:00', '2009/9/19 3:00', '2009/9/19 5:00', '2009/9/19 7:00', '2009/9/19 11:00', '2009/9/19 15:00', '2009/9/19 19:00', '2009/9/19 21:00', '2009/9/19 23:00', '2009/9/20 3:00', '2009/9/20 5:00', '2009/9/20 7:00', '2009/9/20 11:00', '2009/9/20 15:00', '2009/9/20 19:00', '2009/9/20 21:00', '2009/9/20 23:00', '2009/9/21 3:00', '2009/9/21 5:00', '2009/9/21 7:00', '2009/9/21 11:00', '2009/9/21 15:00', '2009/9/21 19:00', '2009/9/21 21:00', '2009/9/21 23:00', '2009/9/22 3:00', '2009/9/22 5:00', '2009/9/22 7:00', '2009/9/22 11:00', '2009/9/22 15:00', '2009/9/22 19:00', '2009/9/22 21:00', '2009/9/22 23:00', '2009/9/23 3:00', '2009/9/23 5:00', '2009/9/23 7:00', '2009/9/23 11:00', '2009/9/23 15:00', '2009/9/23 19:00', '2009/9/23 21:00', '2009/9/23 23:00', '2009/9/24 3:00', '2009/9/24 5:00', '2009/9/24 7:00', '2009/9/24 11:00', '2009/9/24 15:00', '2009/9/24 19:00', '2009/9/24 21:00', '2009/9/24 23:00', '2009/9/25 3:00', '2009/9/25 5:00', '2009/9/25 7:00', '2009/9/25 11:00', '2009/9/25 15:00', '2009/9/25 19:00', '2009/9/25 21:00', '2009/9/25 23:00', '2009/9/26 3:00', '2009/9/26 5:00', '2009/9/26 7:00', '2009/9/26 11:00', '2009/9/26 15:00', '2009/9/26 19:00', '2009/9/26 21:00', '2009/9/26 23:00', '2009/9/27 3:00', '2009/9/27 5:00', '2009/9/27 7:00', '2009/9/27 11:00', '2009/9/27 15:00', '2009/9/27 19:00', '2009/9/27 21:00', '2009/9/27 23:00', '2009/9/28 3:00', '2009/9/28 5:00', '2009/9/28 7:00', '2009/9/28 11:00', '2009/9/28 15:00', '2009/9/28 19:00', '2009/9/28 21:00', '2009/9/28 23:00', '2009/9/29 3:00', '2009/9/29 5:00', '2009/9/29 7:00', '2009/9/29 11:00', '2009/9/29 15:00', '2009/9/29 19:00', '2009/9/29 21:00', '2009/9/29 23:00', '2009/9/30 3:00', '2009/9/30 5:00', '2009/9/30 7:00', '2009/9/30 11:00', '2009/9/30 15:00', '2009/9/30 19:00', '2009/9/30 21:00', '2009/9/30 23:00', '2009/10/1 3:00', '2009/10/1 5:00', '2009/10/1 7:00', '2009/10/1 11:00', '2009/10/1 15:00', '2009/10/1 19:00', '2009/10/1 21:00', '2009/10/1 23:00', '2009/10/2 3:00', '2009/10/2 5:00', '2009/10/2 7:00', '2009/10/2 11:00', '2009/10/2 15:00', '2009/10/2 19:00', '2009/10/2 21:00', '2009/10/2 23:00', '2009/10/3 3:00', '2009/10/3 5:00', '2009/10/3 7:00', '2009/10/3 11:00', '2009/10/3 15:00', '2009/10/3 19:00', '2009/10/3 21:00', '2009/10/3 23:00', '2009/10/4 3:00', '2009/10/4 5:00', '2009/10/4 7:00', '2009/10/4 11:00', '2009/10/4 15:00', '2009/10/4 19:00', '2009/10/4 21:00', '2009/10/4 23:00', '2009/10/5 3:00', '2009/10/5 5:00', '2009/10/5 7:00', '2009/10/5 11:00', '2009/10/5 15:00', '2009/10/5 19:00', '2009/10/5 21:00', '2009/10/5 23:00', '2009/10/6 3:00', '2009/10/6 5:00', '2009/10/6 7:00', '2009/10/6 11:00', '2009/10/6 15:00', '2009/10/6 19:00', '2009/10/6 21:00', '2009/10/6 23:00', '2009/10/7 3:00', '2009/10/7 5:00', '2009/10/7 7:00', '2009/10/7 11:00', '2009/10/7 15:00', '2009/10/7 19:00', '2009/10/7 21:00', '2009/10/7 23:00', '2009/10/8 3:00', '2009/10/8 5:00', '2009/10/8 7:00', '2009/10/8 11:00', '2009/10/8 15:00', '2009/10/8 19:00', '2009/10/8 21:00', '2009/10/8 23:00', '2009/10/9 3:00', '2009/10/9 5:00', '2009/10/9 7:00', '2009/10/9 11:00', '2009/10/9 15:00', '2009/10/9 19:00', '2009/10/9 21:00', '2009/10/9 23:00', '2009/10/10 3:00', '2009/10/10 5:00', '2009/10/10 7:00', '2009/10/10 11:00', '2009/10/10 15:00', '2009/10/10 19:00', '2009/10/10 21:00', '2009/10/10 23:00', '2009/10/11 3:00', '2009/10/11 5:00', '2009/10/11 7:00', '2009/10/11 11:00', '2009/10/11 15:00', '2009/10/11 19:00', '2009/10/11 21:00', '2009/10/11 23:00', '2009/10/12 3:00', '2009/10/12 5:00', '2009/10/12 7:00', '2009/10/12 11:00', '2009/10/12 15:00', '2009/10/12 19:00', '2009/10/12 21:00', '2009/10/12 23:00', '2009/10/13 3:00', '2009/10/13 5:00', '2009/10/13 7:00', '2009/10/13 11:00', '2009/10/13 15:00', '2009/10/13 19:00', '2009/10/13 21:00', '2009/10/13 23:00', '2009/10/14 3:00', '2009/10/14 5:00', '2009/10/14 7:00', '2009/10/14 11:00', '2009/10/14 15:00', '2009/10/14 19:00', '2009/10/14 21:00', '2009/10/14 23:00', '2009/10/15 3:00', '2009/10/15 5:00', '2009/10/15 7:00', '2009/10/15 11:00', '2009/10/15 15:00', '2009/10/15 19:00', '2009/10/15 21:00', '2009/10/15 23:00', '2009/10/16 3:00', '2009/10/16 5:00', '2009/10/16 7:00', '2009/10/16 11:00', '2009/10/16 15:00', '2009/10/16 19:00', '2009/10/16 21:00', '2009/10/16 23:00', '2009/10/17 3:00', '2009/10/17 5:00', '2009/10/17 7:00', '2009/10/17 11:00', '2009/10/17 15:00', '2009/10/17 19:00', '2009/10/17 21:00', '2009/10/17 23:00', '2009/10/18 3:00', '2009/10/18 5:00', '2009/10/18 7:00']
Manipulación de datos
df = pd.DataFrame({'Timestamp': timeData})
df["Timestamp"] = pd.to_datetime(df["Timestamp"], format="%Y/%m/%d %H:%M")
df['hours'] = df["Timestamp"].dt.strftime('%I%p').str.lower().str.lstrip('0')
df['days'] = df["Timestamp"].dt.day_name()
df = pd.crosstab(df['days'], df['hours']).reindex(index=df['days'].unique(), columns=df['hours'].unique())
df.reset_index(inplace=True)
df_melt = df.melt(id_vars='days', value_vars=df.columns.to_list())
df_melt.head()
days hours value
0 Friday 5am 18
1 Saturday5am 17
2 Sunday 5am 19
3 Monday 5am 18
4 Tuesday 5am 16
fig = px.scatter_polar(df_melt, r="days", theta="hours",
size="value", color="days",
)
fig.show()
orden requerida:
angular_order = ["1am", "2am", "3am", "4am", "5am","6am", "7am", "8am", "9am", "10am", "11am",
"12pm", "1pm", "2pm", "3pm", "4pm", "5pm","6pm", "7pm", "8pm", "9pm", "10pm", "11pm"]
radial_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
¿Cómo puedo ordenar etiquetas de ejes angulares y radiales en el gráfico scatter_polar con Plotly Python?
Aceptado
Como creó un gráfico con la cadena deseada de nombres de ejes y escalas para un gráfico de coordenadas polares, creé el código usando un objeto gráfico. Primero, se extrae el marco de datos original en función de la lista deseada de días del orden de la semana. Para el marco de datos resultante, ordenamos los datos en orden de eje. Especifico un gráfico con esos datos y también especifico que el inicio de las coordenadas polares sea en el sentido de las agujas del reloj.
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
angular_order = ["1am", "2am", "3am", "4am", "5am","6am",
"7am", "8am", "9am", "10am", "11am", "12pm",
"1pm", "2pm", "3pm", "4pm", "5pm","6pm",
"7pm", "8pm", "9pm", "10pm", "11pm"]
radial_order = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']
colors = px.colors.qualitative.Plotly
fig = go.Figure()
for i,w in enumerate(radial_order):
dff = df_melt.query('days == @w')
dff.set_index('hours', inplace=True)
dff = dff.reindex(angular_order)
dff.reset_index(inplace=True)
dff = dff.dropna()
fig.add_trace(go.Scatterpolar(
r=dff['days'],
theta=dff['hours'],
name=w,
mode='markers',
marker=dict(size=dff['value'], color=colors[i])
))
fig.update_layout(height=550, width=550)
fig.update_traces(hovertemplate='days=%{r}<br>hours=%{theta}<br>value=%{marker.size}<extra></extra>')
fig.update_layout(polar=dict(angularaxis=dict(direction='clockwise')))
fig.show()
