Plotlyを使用して複数の図を表示

Question

Plotlyで複数の図を1つの図に表示しようとしています。 各dfオブジェクトを作成せずに 'for'または他の方法で複数のチャートを配置するスマートな方法はありますか？多くのカテゴリのインタラクティブマップを表示するにはどうすればよいでしょうか？

import random 
import plotly.offline as py 
py.init_notebook_mode(connected=True) 
import plotly.graph_objs as go 

N = 500 
x = np.linspace(0, 1, N) 
y = np.random.randn(N) 

z = [] 
foo = ['apple','amazon','facebook', 
     'google','ms','twitter','airbnb','tesla', 
     'piedpiper','hooli'] 
for bar in range(0,N): 
    z.append(random.choice(foo)) 

df = pd.DataFrame({'x': x, 'y': y, 'z':z}) 

# Hope to get feedback below 
df_hooli = df.query("z=='hooli'") 
df_pp = df.query("z=='piedpiper'") 

data = [ 
    go.Scatter(
    x = df_hooli['x'], # assign x as the dataframe column 'x' 
    y = df_hooli['y'], 
    name = 'hooli'), 

    go.Scatter(
    x = df_pp['x'], # assign x as the dataframe column 'x' 
    y = df_pp['y'], 
    name = 'piedpiper') 

] 

layout = go.Layout(
    title='scatter plot with pandas', 
    yaxis=dict(title='random distribution'), 
    xaxis=dict(title='linspace') 
) 

fig = go.Figure(data=data, layout=layout) 

# IPython notebook 
py.iplot(fig, filename='pandas/line-plot-title') 

Answer 1

ここのようなサイクルでクエリ結果とプロットを取得してください：

import random 
import plotly.offline as py 
py.init_notebook_mode(connected=True) 
import plotly.graph_objs as go 
import numpy as np 
import pandas as pd 

N = 500 
x = np.linspace(0, 1, N) 
y = np.random.randn(N) 

z = [] 
foo = ['apple','amazon','facebook', 
     'google','ms','twitter','airbnb','tesla', 
     'piedpiper','hooli'] 
for bar in range(0,N): z.append(random.choice(foo)) 
df = pd.DataFrame({'x': x, 'y': y, 'z':z}) 

# get query result and plot it to data list 
data = list() 
for q in ["z=='hooli'","z=='piedpiper'"]: 
    df2 = df.query(q) 
    data.append(
     go.Scatter(
     x = df2['x'], # assign x as the dataframe column 'x' 
     y = df2['y'], 
     name = q.split('==')[1].replace("'",''))) 

layout = go.Layout(
    title='scatter plot with pandas', 
    yaxis=dict(title='random distribution'), 
    xaxis=dict(title='linspace') 
) 

fig = go.Figure(data=data, layout=layout) 
py.plot(fig) 
py.iplot(fig, filename='line-plot-title')