③. GPT错误：python控制台运行pip list列出安装库，列出：pip install 库1 库2库3...，方便一次性安装错误

原标题
用python写代码：pip list，列出：pip install 库1 库2库3...，方便一次性安装错误
1
2

彻底解决pip安装库问题

用python写代码：pip list
列出：pip install 库1 库2 库3 这种输出
1
2

以下是使用Python编写代码来实现类似pip list和pip install package1 package2 package3输出的示例：

import pkg_resources

# 列出已安装的包和版本
installed_packages = [p for p in pkg_resources.working_set]
for package in installed_packages:
    print(f"{package.project_name} ({package.version})")

# 安装指定的包
packages_to_install = ["package1", "package2", "package3"]
for package in packages_to_install:
    try:
        pkg_resources.get_distribution(package)
        print(f"{package} is already installed")
    except pkg_resources.DistributionNotFound:
        print(f"Installing {package}...")
        # 执行安装命令，这里只是模拟输出
        print(f"Successfully installed {package}")
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17

上述代码中，我们使用了pkg_resources模块来获取已安装的包列表并显示其名称和版本。然后，我们遍历要安装的包列表，并检查每个包是否已经安装。如果已经安装，则显示相应信息；否则，输出安装命令的模拟结果。

请注意，这只是一个简单的演示代码，实际执行安装命令需要使用适当的方法，例如使用subprocess模块来执行命令行安装命令。

/data/user/0/org.qpython.qpy/files/bin/qpy thon3.sh "/storage/emulated/0/qpython/数据 点1.1.1.py" && exit
python/数据点1.1.1.py" && exit           < certifi (2023.7.22)
pytz (2022.6)
setuptools (65.5.0)
pyzmq (24.0.1)
pip (22.3.1)
attrs (22.1.0)
argon2-cffi (21.3.0)
packaging (21.3)
argon2-cffi-bindings (21.2.0)
virtualenv (20.24.5)
Faker (19.6.1)
clang (16.0.1.1)
rich (13.5.2)
Pillow (9.3.0)
mss (9.0.1)
ipython (8.6.0)
tenacity (8.2.3)
click (8.1.7)
ipywidgets (8.0.2)
jupyter-client (7.4.4)
nbconvert (7.2.3)
ipykernel (6.17.0)
importlib-metadata (6.8.0)
notebook (6.5.2)
jupyter-console (6.4.4)
tornado (6.2)
ftfy (6.1.1)
cowsay (6.0)
plotly (5.16.1)
psutil (5.9.3)
nbformat (5.7.0)
traitlets (5.5.0)
qtconsole (5.4.0)
bleach (5.0.1)
dash-table (5.0.0)
tqdm (4.66.1)
fonttools (4.38.0)
jsonschema (4.17.0)
jupyter-core (4.11.2)
selenium (4.11.2)
beautifulsoup4 (4.11.1)
lxml (4.9.1)
pexpect (4.8.0)
typing-extensions (4.7.1)
decorator (4.4.2)
widgetsnbextension (4.0.3)
simplejson (3.19.1)
zipp (3.16.2)
filelock (3.12.4)
platformdirs (3.10.0)
prettytable (3.8.0)
anyio (3.6.2)
matplotlib (3.6.1)
Markdown (3.4.4)
idna (3.4)
charset-normalizer (3.2.0)
XlsxWriter (3.1.3)
Jinja2 (3.1.2)
openpyxl (3.1.2)
networkx (3.1)
pyscreenshot (3.1)
prompt-toolkit (3.0.32)
pyparsing (3.0.9)
jupyterlab-widgets (3.0.3)
colorcet (3.0.1)
markdown-it-py (3.0.0)
ExifRead (3.0.0)
pyttsx3 (2.90)
imageio (2.31.2)
requests (2.31.0)
pycparser (2.21)
fastjsonschema (2.16.2)
Pygments (2.13.0)
dash (2.12.1)
Babel (2.12.1)
anytree (2.9.0)
python-dateutil (2.8.2)
emoji (2.8.0)
scapy (2.5.0)
sortedcontainers (2.4.0)
soupsieve (2.3.2.post1)
gTTS (2.3.2)
termcolor (2.3.0)
Flask (2.2.5)
Werkzeug (2.2.3)
QtPy (2.2.1)
itsdangerous (2.1.2)
MarkupSafe (2.1.1)
asttokens (2.1.0)
SciencePlots (2.1.0)
rembg (2.0.50)
mistune (2.0.4)
urllib3 (2.0.4)
pyecharts (2.0.3)
pyMd2Doc (2.0.2)
dash-html-components (2.0.0)
dash-core-components (2.0.0)
cleverbot (2.0.0)
mutagen (1.46.0)
numpy (1.23.4)
jupyter-server (1.21.0)
six (1.16.0)
cffi (1.15.1)
param (1.13.0)
sympy (1.12)
pyperclip (1.8.2)
Send2Trash (1.8.0)
ansi2html (1.8.0)
PySocks (1.7.1)
treelib (1.7.0)
debugpy (1.6.3)
blinker (1.6.2)
nest-asyncio (1.5.6)
pandas (1.5.1)
pandocfilters (1.5.0)
kiwisolver (1.4.4)
pystacker (1.4.4)
websocket-client (1.4.2)
pydot (1.4.2)
ffmpeg (1.4)
docxcompose (1.4.0)
install (1.3.5)
retrying (1.3.4)
sniffio (1.3.0)
mpmath (1.3.0)
arrow (1.2.3)
tinycss2 (1.2.1)
executing (1.2.0)
outcome (1.2.0)
XMind (1.2.0)
wsproto (1.2.0)
schedule (1.2.0)
exceptiongroup (1.1.3)
et-xmlfile (1.1.0)
EasyProcess (1.1)
entrypoint2 (1.1)
xmindparser (1.0.9)
PyMsgBox (1.0.9)
pytweening (1.0.7)
contourpy (1.0.6)
moviepy (1.0.3)
pyfiglet (1.0.2)
jupyter (1.0.0)
pypinyin (0.49.0)
jieba (0.42.1)
wheel (0.38.2)
pydub (0.25.1)
trio (0.22.2)
graphviz (0.20.1)
pyrsistent (0.19.2)
future (0.18.3)
jedi (0.18.1)
EbookLib (0.18)
terminado (0.17.0)
schemdraw (0.17)
docxtpl (0.16.7)
prometheus-client (0.15.0)
python3-xlib (0.15)
h11 (0.14.0)
pyqtgraph (0.13.3)
bottle (0.12.23)
cycler (0.11.0)
trio-websocket (0.10.3)
PyAutoGUI (0.9.54)
tabulate (0.9.0)
python-docx (0.8.11)
parso (0.8.3)
jeepney (0.8.0)
pickleshare (0.7.5)
defusedxml (0.7.1)
nbclient (0.7.0)
ptyprocess (0.7.0)
mplcyberpunk (0.7.0)
stack-data (0.6.0)
pyjokes (0.6.0)
webencodings (0.5.1)
pyct (0.5.0)
nbclassic (0.4.8)
imageio-ffmpeg (0.4.8)
entrypoints (0.4)
pytesseract (0.3.10)
matplotx (0.3.10)
termplotlib (0.3.9)
dill (0.3.7)
distlib (0.3.7)
textrank4zh (0.3)
wcwidth (0.2.5)
jupyterlab-pygments (0.2.2)
notebook-shim (0.2.2)
pure-eval (0.2.2)
backcall (0.2.0)
ipython-genutils (0.2.0)
PyRect (0.2.0)
ffmpeg-python (0.2.0)
PyScreeze (0.1.29)
proglog (0.1.10)
matplotlib-inline (0.1.6)
qbstyles (0.1.4)
MouseInfo (0.1.3)
mdurl (0.1.2)
ffprobe3 (0.1.2)
tk (0.1.0)
mindmap (0.0.65)
cyberpunk-theme (0.0.14)
PyGetWindow (0.0.9)
apigptcloud (0.0.9)
tkstyle (0.0.6)
snapshot-selenium (0.0.2)
py2flowchart (0.0.2)
flowchart (0.0.1)
Installing package1...
Successfully installed package1
Installing package2...
Successfully installed package2
Installing package3...
Successfully installed package3

#[QPython] Press enter to exit ...

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220

第2种方法略过

import subprocess
import re

# 执行 pip list 命令并获取输出结果
output = subprocess.check_output("pip list", shell=True).decode()

# 使用正则表达式匹配库名列表
pattern = re.compile(r'^\S+')
library_names = pattern.findall(output, re.MULTILINE)[2:]

# 拼接库名列表为 pip install 命令
install_command = "pip install " + " ".join(library_names)
print(install_command)
1
2
3
4
5
6
7
8
9
10
11
12
13

其中包括一条提示消息：“A new release of pip available”。这似乎是由 pip 命令在执行过程中生成的。
根据这条提示消息，你可以尝试先升级 pip，然后再获取库名列表。

꧂放大招 ꧁

查询pip已经安装库

pip list
1

保存已安装库列表版本

pip list > /storage/emulated/0/数据中心/pip安装/pip_list.txt
1

保存已安装库地址，去除库版本

xargs -n 1 pip install < /storage/emulated/0/数据中心/pip安装/pip_list.txt
1

直接安装

pip list | awk '!/^\-/{print $1}' > /storage/emulated/0/数据中心/pip安装/pip_list.txt
1

꧂ 图片꧁