解释这句Requirement already satisfied: input_reader in /home/ma-user/anaconda3/envs/python-3.7.10/lib/python3.7/site-packages (1.2.2)

当你使用pip或conda等工具在你的计算机上安装Python软件包时，会显示类似 "Requirement already satisfied" 的信息。这表示该软件包已经在你的计算机上安装过了，并且安装的版本是 1.2.2。而 /home/ma-user/anaconda3/envs/python-3.7.10/lib/python3.7/site-packages 是该软件包的安装路径。

相关问题

!pip install requests !pip install beautifulsoup4 Requirement already satisfied: requests in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (2.28.1) Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (from requests) (1.26.11) Requirement already satisfied: charset-normalizer<3,>=2 in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (from requests) (2.0.4) Requirement already satisfied: idna<4,>=2.5 in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (from requests) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (from requests) (2022.9.24) Requirement already satisfied: beautifulsoup4 in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (4.11.1) Requirement already satisfied: soupsieve>1.2 in /Users/huyang/opt/anaconda3/lib/python3.9/site-packages (from beautifulsoup4) (2.3.1)

看起来您已经成功安装了 requests 和 BeautifulSoup 库。这两个库是 Python 中非常常用的网络请求和解析库，非常适合用于爬虫和数据分析等任务。如果您想要使用这些库，可以在 Python 代码中导入它们，例如：

import requests
from bs4 import BeautifulSoup

这样，您就可以在 Python 代码中使用 requests 和 BeautifulSoup 库了。如果您在 Spyder 中遇到任何问题，可以随时向我提问。

{'体育': 0, '数字化': 1, '文化旅游': 2, '新能源': 3, '旅游': 4, '轨道交通': 5, '中医药': 6, '物联网': 7, '大数据': 8, '新一代信息技术': 9, '互联网+': 10, '人工智能': 11, '区块链': 12, '数字经济': 13, '生命': 14} Requirement already satisfied: matplotlib in /Users/hh/anaconda3/lib/python3.10/site-packages (3.7.0) Requirement already satisfied: cycler>=0.10 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (0.11.0) Requirement already satisfied: contourpy>=1.0.1 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.0.5) Requirement already satisfied: fonttools>=4.22.0 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (4.25.0) Requirement already satisfied: packaging>=20.0 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (22.0) Requirement already satisfied: pyparsing>=2.3.1 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (3.0.9) Requirement already satisfied: kiwisolver>=1.0.1 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.4.4) Requirement already satisfied: python-dateutil>=2.7 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (2.8.2) Requirement already satisfied: numpy>=1.20 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.23.5) Requirement already satisfied: pillow>=6.2.0 in /Users/hh/anaconda3/lib/python3.10/site-packages (from matplotlib) (9.4.0) Requirement already satisfied: six>=1.5 in /Users/hh/anaconda3/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)

根据你提供的词典token到id的映射关系，以及你已经安装了matplotlib库，你应该可以成功绘制热力图了。

请确保在绘制热力图之前，你已经执行了以下代码来加载数据和设置词典：

import pickle
import gensim
import matplotlib.pyplot as plt

# 加载语料库
text_corpus = pickle.load(open('/Users/hh/Desktop/11_14/十一五-十四五产业规划bow.pkl', mode='rb'))

# 创建词典
dictionary = gensim.corpora.Dictionary(text_corpus)

# 设置词典的token到id映射关系
token2id = dictionary.token2id

# 打印词典的token到id映射关系
print(token2id)

# 其他代码...

接下来，你可以使用你提供的绘制热力图的代码来绘制热力图。确保在绘制热力图之前，`data`变量中包含了正确的数据。

希望这次能成功绘制热力图！如果还有其他问题，请随时提问。