小编Flu*_*990的帖子

每次我构建 Docker 镜像时，“[内部]加载 docker.io 的元数据...”和“[内部]加载构建上下文”步骤都会花费很长时间，这很痛苦。

下面是最近构建的输出，上面提到的两个步骤 (*) 总共花费了近 4 分钟。这是正常的吗？

 => [internal] load build definition from Dockerfile                                                             0.1s
 => => transferring dockerfile: 287B                                                                               0.0s
 => [internal] load .dockerignore                                                                                  0.1s
 => => transferring context: 2B                                                                                    0.0s
 *=> [internal] load metadata for docker.io/library/python:3.8                                                     81.5s
 => [auth] library/python:pull token for registry-1.docker.io                                                      0.0s
 *=> [internal] load build context                                                                                167.5s
 => => transferring context: 3.59MB                                                                              167.4s
 => [1/6] FROM docker.io/library/python:3.8@sha256:53cb5152064a7e7b485ad42704ea63c5155b264c82e7f17de99d3aa28e4f89  0.0s
 => CACHED [2/6] WORKDIR /code                                                                                     0.0s
 => CACHED [3/6] COPY requirements.txt /code                                                                       0.0s
 => …

不确定我是否在这里遗漏了一些明显的东西，但是当我在带有注释的文本中插入一个中断（<br>）时，它似乎忽略了它。我已经尝试过fig.add_annotations，但同样的事情发生了。

import pandas as pd
import plotly.graph_objects as go
import numpy as np

df = pd.DataFrame({"Growth_Type": ["Growing Fast", "Growing", "Stable", "Dropping", "Dropping Fast"],
                  "Accounts": [407,1275,3785,1467,623],
                  "Gain_Share": [1.20,8.1,34.4,6.5,0.4],
                  "Keep_Share": [16.5, 101.2, 306.3, 107.2, 27.7]})

df2 = pd.concat([pd.DataFrame({"Growth_Type":df["Growth_Type"], 
              "Opportunity_Type": np.repeat("Gain Share", 5),
             "Wallet_Share": df["Gain_Share"]}),
          pd.DataFrame({"Growth_Type":df["Growth_Type"], 
              "Opportunity_Type": np.repeat("Keep Share", 5),
             "Wallet_Share": df["Keep_Share"]})])

fig = go.Figure()

fig.add_trace(go.Bar(x = df2["Wallet_Share"], 
                     y = df2["Growth_Type"],
                     orientation = "h"
                    ))

fig.update_layout(font = dict(size = 12, color = "#A6ACAF"),
                 xaxis_tickprefix = "$",
                  plot_bgcolor …