小编kan*_*bla的帖子

如何在以下从他们的网站上获取的剧情示例中隐藏彩条？

    df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')

# light grey boundaries
l <- list(color = toRGB("grey"), width = 0.5)

# specify map projection/options
g <- list(
  showframe = FALSE,
  showcoastlines = FALSE,
  projection = list(type = 'Mercator')
)

plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth',
        color = GDP..BILLIONS., colors = 'Blues', marker = list(line = l),
        colorbar = list(tickprefix = '$', title = 'GDP Billions US$'),
        filename="r-docs/world-choropleth") %>%
  layout(title = '2014 Global GDP<br>Source:<a href="https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html">CIA World Factbook</a>',
         geo …

考虑以下 R 代码，以 plotly 生成等值线图：

#devtools::install_github("ropensci/plotly")
library(plotly)

df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')

# light grey boundaries
l <- list(color = toRGB("grey"), width = 0.5)

# specify map projection/options
g <- list(
  showframe = FALSE,
  showcoastlines = FALSE,
  projection = list(type = 'Mercator')
)

plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth',
        color = GDP..BILLIONS., colors = 'Blues', marker = list(line = l),
        colorbar = list(tickprefix = '$', title = 'GDP Billions US$'),
        filename="r-docs/world-choropleth") %>%
  layout(title = '2014 …

在RI中,您希望从特定类别的Google趋势中获得前10个搜索字词.例如,类别autmotive的前10个搜索字词包含在此网址中:

url <- "https://www.google.com/trends/explore#cat=0-47&geo=US&cmpt=q&tz=Etc%2FGMT-1"

要检索搜索字词,我尝试了以下操作:

library("rvest")
top_searches <- url %>%
  read_html() %>%
  html_nodes(xpath='//*[@class="trends-bar-chart-name"]') %>%
  html_table()

但是,此代码会生成一个空列表(请注意,我使用Selectorgadget来计算'xpath').

我想在一个地图中将两种类型的地图组合在一起,即泡沫和等值线图.目标是通过将鼠标悬停在地图上来显示国家/地区(等值区)以及城市级别(气泡)的人口规模.

等值线图的图解示例代码如下:

library(plotly)
    df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')

    # light grey boundaries
    l <- list(color = toRGB("grey"), width = 0.5)

    # specify map projection/options
    g <- list(
      showframe = FALSE,
      showcoastlines = FALSE,
      projection = list(type = 'Mercator')
    )

    plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth',
            color = GDP..BILLIONS., colors = 'Blues', marker = list(line = l),
            colorbar = list(tickprefix = '$', title = 'GDP Billions US$'),
            filename="r-docs/world-choropleth") %>%
      layout(title = '2014 Global GDP<br>Source:<a href="https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html">CIA World …

我需要附加到 aws S3 上的 json 文件，python 代码正在 EC2 实例上运行。

在本地设置中，我可以轻松地执行此操作，如下所示：

import json

#example data
json_data = {"id": "123", "name": "XYZ", "transaction": [20.0, 30.0]}
# path
local_path = '/home/ubuntu/test.json'

with open(local_path, 'a', encoding='utf-8-sig') as file:
    json.dump(json_data, file)
    file.write('\n')
    file.close()

在 EC2 上，我可以按如下方式连接到 S3：

import boto
s3_open = boto.connect_s3(host='s3.eu-central-1.amazonaws.com')

我定义了S3的路径：

s3_path = 's3://my-bucket/test.json'

如何使用上述逻辑附加到该文件？