我的 main.py 脚本是 pycharm IDE 中的 运行 但不是来自终端。为什么会这样？
My main.py script is running in pycharm IDE but not from terminal. Why is this so?
当我想在终端中 运行 我的 python main.py 脚本时，它会引发以下异常：
Traceback (most recent call last):
File "main.py", line 14, in <module>
from typeform_api import get_data # Step 1)
File "/Users/philipp/Documents/PycharmProjects/Wegekompass/typeform_api.py", line 9, in <module>
import pandas as pd # For creating a dataframe for the data
ModuleNotFoundError: No module named 'pandas'
我已经阅读了这两个问题的答案，但找不到任何解决方案：
这是我的main.py方法：
"""
Logic Flow of main.py:
1) Fetch Data with API
2) Preprocess the Data
3) Start topic modeling
4) Create report and include data
5) send report via e-mail to user
"""
import os
import sys
from typeform_api import get_data # Step 1)
from preprocessing import preprocess_data # Step 2)
from topic_modeling import create_topic_model # Step 3)
from create_report import * # Step 4)
from send_report import send_report # Step 5)
if __name__ == '__main__':
# 1) Fetch Data with Typeform API:
alle_antworten_txt = get_data()[3]
projektname = get_data()[0]
projekt_id = get_data()[1]
user_email = get_data()[2]
heute_txt_short = get_data()[3][4]
heute_txt_long = get_data()[3][1:3]
heute_txt_long_joined = ". ".join(heute_txt_long)
morgen_txt_short = get_data()[3][8]
morgen_txt_long = get_data()[3][5:7]
morgen_txt_long_joined = ". ".join(morgen_txt_long)
erfolgshebel_txt_short = get_data()[3][17]
erfolgshebel_txt_long = get_data()[3][14:16]
erfolgshebel_txt_long_joined = ". ".join(erfolgshebel_txt_long)
staerken_txt = get_data()[3][12:13]
staerken_txt_joined = ". ".join(staerken_txt)
schwaechen_txt = get_data()[3][10:11]
schwaechen_txt_joined = ". ".join(schwaechen_txt)
reflexion_txt = get_data()[3][9]
etappe1_fachlich_txt = get_data()[3][18]
etappe1_kulturell_txt = get_data()[3][19]
etappe2_fachlich_txt = get_data()[3][20]
etappe2_kulturell_txt = get_data()[3][21]
etappe3_fachlich_txt = get_data()[3][22]
etappe3_kulturell_txt = get_data()[3][23]
weg_von_energie = get_data()[4][0]
hin_zu_energie = get_data()[4][1]
umsetzungsenergie = get_data()[4][2]
# 2) Preprocess and tokenize fetched Data:
alle_antworten_txt_tokens = preprocess_data(alle_antworten_txt)[1]
heute_txt_long_tokens = preprocess_data(heute_txt_long)[1]
morgen_txt_long_tokens = preprocess_data(morgen_txt_long)[1]
# 3) Start NLP analysis:
# answer_analysis = create_topic_model(alle_antworten_txt_tokens)[1]
try:
heute_wortwolke = create_topic_model(heute_txt_long_tokens)[2]
heute_wortwolke.to_file(os.getcwd() + "/Grafiken/Wortwolken/heute_wortwolke"+projekt_id+".png")
morgen_wortwolke = create_topic_model(morgen_txt_long_tokens)[2]
morgen_wortwolke.to_file(os.getcwd() + "/Grafiken/Wortwolken/morgen_wortwolke"+projekt_id+".png")
except ValueError:
print("There is not enough word input, LDA analysis raises ValueError")
sys.exit(0)
# 4) Create final report:
try:
final_report = create_final_report(heute_txt_short,
morgen_txt_short,
erfolgshebel_txt_short,
heute_txt_long_joined,
morgen_txt_long_joined,
erfolgshebel_txt_long_joined,
staerken_txt_joined,
schwaechen_txt_joined,
reflexion_txt,
os.getcwd() + "/Grafiken/Wortwolken/heute_wortwolke"+projekt_id+".png",
os.getcwd() + "/Grafiken/Wortwolken/morgen_wortwolke"+projekt_id+".png",
etappe1_fachlich_txt,
etappe1_kulturell_txt,
etappe2_fachlich_txt,
etappe2_kulturell_txt,
etappe3_fachlich_txt,
etappe3_kulturell_txt,
weg_von_energie,
hin_zu_energie,
umsetzungsenergie,
projektname,
projekt_id)
except FileNotFoundError:
print("There is not enough word input, wordcloud can't be computed so FileNotFoundError is raised")
sys.exit(0)
# 5) Send final report:
try:
send_report(final_report, user_email, projektname, projekt_id)
except NameError:
print("variable final_report not defined due missing wordclouds")
sys.exit(0)
# 6) Check if program reached its end:
print("If this gets print, the report was send successfully.")
这是我的项目文件夹的结构：
├── Dockerfile
├── Error-Handling.md
├── Grafiken
│ ├── 1Etappe_Card-min.png
│ ├── 2Etappe_Card-min.png
│ ├── 3Etappe_Card-min.png
│ ├── AD_Logo-min.png
│ ├── Dynamik_Abflug-min.png
│ ├── Dynamik_Anflug-min.png
│ ├── Dynamik_Hoehenflug-min.png
│ ├── Dynamik_Parabelflug-min.png
│ ├── Dynamik_Sinkflug-min.png
│ ├── Dynamik_Steigflug-min.png
│ ├── Dynamik_Talflug-min.png
│ ├── Dynamik_Tiefflug-min.png
│ ├── Entwicklung_Card-min.png
│ ├── Erfolgshebel_Card-min.png
│ ├── Framework_Abflug-min.png
│ ├── Framework_Anflug-min.png
│ ├── Framework_Hoehenflug-min.png
│ ├── Framework_Parabelflug-min.png
│ ├── Framework_Sinkflug-min.png
│ ├── Framework_Steigflug-min.png
│ ├── Framework_Talflug-min.png
│ ├── Framework_Tiefflug-min.png
│ ├── Heute_Card-min.png
│ ├── Morgen_Card-min.png
│ ├── Reflexion_Card-min.png
│ ├── Strength_Card-min.png
│ ├── Weakness_Card-min.png
│ ├── Wegekompass_Hero-min.png
│ └── Wortwolken
├── PDF_Reports
├── README.md
├── __pycache__
│ ├── config.cpython-38.pyc
│ ├── create_report.cpython-38.pyc
│ ├── main.cpython-38.pyc
│ ├── preprocessing.cpython-38.pyc
│ ├── send_report.cpython-38.pyc
│ ├── topic_modeling.cpython-38.pyc
│ └── typeform_api.cpython-38.pyc
├── config.py
├── create_report.py
├── html_files
│ └── E_Mail_Template.html
├── main.py
├── preprocessing.py
├── requirements.txt
├── send_report.py
├── topic_modeling.py
├── typeform_api.py
└── venv
├── (...)
如我所说 - main.py 脚本 运行 在 pycharm IDE 中，但不是来自终端。
如何从终端 运行 我的脚本？
看起来您正在使用 venv，
你在 运行 你的脚本之前激活它了吗？
对于 Linux/Mac，您可以执行以下操作：
. venv/bin/activate
对于 windows 你应该使用：
source venv/Scripts/activate
激活虚拟环境后，您可以安装软件包：
pip install -r requirements.txt
当我想在终端中 运行 我的 python main.py 脚本时，它会引发以下异常：
Traceback (most recent call last):
File "main.py", line 14, in <module>
from typeform_api import get_data # Step 1)
File "/Users/philipp/Documents/PycharmProjects/Wegekompass/typeform_api.py", line 9, in <module>
import pandas as pd # For creating a dataframe for the data
ModuleNotFoundError: No module named 'pandas'
我已经阅读了这两个问题的答案，但找不到任何解决方案：
这是我的main.py方法：
"""
Logic Flow of main.py:
1) Fetch Data with API
2) Preprocess the Data
3) Start topic modeling
4) Create report and include data
5) send report via e-mail to user
"""
import os
import sys
from typeform_api import get_data # Step 1)
from preprocessing import preprocess_data # Step 2)
from topic_modeling import create_topic_model # Step 3)
from create_report import * # Step 4)
from send_report import send_report # Step 5)
if __name__ == '__main__':
# 1) Fetch Data with Typeform API:
alle_antworten_txt = get_data()[3]
projektname = get_data()[0]
projekt_id = get_data()[1]
user_email = get_data()[2]
heute_txt_short = get_data()[3][4]
heute_txt_long = get_data()[3][1:3]
heute_txt_long_joined = ". ".join(heute_txt_long)
morgen_txt_short = get_data()[3][8]
morgen_txt_long = get_data()[3][5:7]
morgen_txt_long_joined = ". ".join(morgen_txt_long)
erfolgshebel_txt_short = get_data()[3][17]
erfolgshebel_txt_long = get_data()[3][14:16]
erfolgshebel_txt_long_joined = ". ".join(erfolgshebel_txt_long)
staerken_txt = get_data()[3][12:13]
staerken_txt_joined = ". ".join(staerken_txt)
schwaechen_txt = get_data()[3][10:11]
schwaechen_txt_joined = ". ".join(schwaechen_txt)
reflexion_txt = get_data()[3][9]
etappe1_fachlich_txt = get_data()[3][18]
etappe1_kulturell_txt = get_data()[3][19]
etappe2_fachlich_txt = get_data()[3][20]
etappe2_kulturell_txt = get_data()[3][21]
etappe3_fachlich_txt = get_data()[3][22]
etappe3_kulturell_txt = get_data()[3][23]
weg_von_energie = get_data()[4][0]
hin_zu_energie = get_data()[4][1]
umsetzungsenergie = get_data()[4][2]
# 2) Preprocess and tokenize fetched Data:
alle_antworten_txt_tokens = preprocess_data(alle_antworten_txt)[1]
heute_txt_long_tokens = preprocess_data(heute_txt_long)[1]
morgen_txt_long_tokens = preprocess_data(morgen_txt_long)[1]
# 3) Start NLP analysis:
# answer_analysis = create_topic_model(alle_antworten_txt_tokens)[1]
try:
heute_wortwolke = create_topic_model(heute_txt_long_tokens)[2]
heute_wortwolke.to_file(os.getcwd() + "/Grafiken/Wortwolken/heute_wortwolke"+projekt_id+".png")
morgen_wortwolke = create_topic_model(morgen_txt_long_tokens)[2]
morgen_wortwolke.to_file(os.getcwd() + "/Grafiken/Wortwolken/morgen_wortwolke"+projekt_id+".png")
except ValueError:
print("There is not enough word input, LDA analysis raises ValueError")
sys.exit(0)
# 4) Create final report:
try:
final_report = create_final_report(heute_txt_short,
morgen_txt_short,
erfolgshebel_txt_short,
heute_txt_long_joined,
morgen_txt_long_joined,
erfolgshebel_txt_long_joined,
staerken_txt_joined,
schwaechen_txt_joined,
reflexion_txt,
os.getcwd() + "/Grafiken/Wortwolken/heute_wortwolke"+projekt_id+".png",
os.getcwd() + "/Grafiken/Wortwolken/morgen_wortwolke"+projekt_id+".png",
etappe1_fachlich_txt,
etappe1_kulturell_txt,
etappe2_fachlich_txt,
etappe2_kulturell_txt,
etappe3_fachlich_txt,
etappe3_kulturell_txt,
weg_von_energie,
hin_zu_energie,
umsetzungsenergie,
projektname,
projekt_id)
except FileNotFoundError:
print("There is not enough word input, wordcloud can't be computed so FileNotFoundError is raised")
sys.exit(0)
# 5) Send final report:
try:
send_report(final_report, user_email, projektname, projekt_id)
except NameError:
print("variable final_report not defined due missing wordclouds")
sys.exit(0)
# 6) Check if program reached its end:
print("If this gets print, the report was send successfully.")
这是我的项目文件夹的结构：
├── Dockerfile
├── Error-Handling.md
├── Grafiken
│ ├── 1Etappe_Card-min.png
│ ├── 2Etappe_Card-min.png
│ ├── 3Etappe_Card-min.png
│ ├── AD_Logo-min.png
│ ├── Dynamik_Abflug-min.png
│ ├── Dynamik_Anflug-min.png
│ ├── Dynamik_Hoehenflug-min.png
│ ├── Dynamik_Parabelflug-min.png
│ ├── Dynamik_Sinkflug-min.png
│ ├── Dynamik_Steigflug-min.png
│ ├── Dynamik_Talflug-min.png
│ ├── Dynamik_Tiefflug-min.png
│ ├── Entwicklung_Card-min.png
│ ├── Erfolgshebel_Card-min.png
│ ├── Framework_Abflug-min.png
│ ├── Framework_Anflug-min.png
│ ├── Framework_Hoehenflug-min.png
│ ├── Framework_Parabelflug-min.png
│ ├── Framework_Sinkflug-min.png
│ ├── Framework_Steigflug-min.png
│ ├── Framework_Talflug-min.png
│ ├── Framework_Tiefflug-min.png
│ ├── Heute_Card-min.png
│ ├── Morgen_Card-min.png
│ ├── Reflexion_Card-min.png
│ ├── Strength_Card-min.png
│ ├── Weakness_Card-min.png
│ ├── Wegekompass_Hero-min.png
│ └── Wortwolken
├── PDF_Reports
├── README.md
├── __pycache__
│ ├── config.cpython-38.pyc
│ ├── create_report.cpython-38.pyc
│ ├── main.cpython-38.pyc
│ ├── preprocessing.cpython-38.pyc
│ ├── send_report.cpython-38.pyc
│ ├── topic_modeling.cpython-38.pyc
│ └── typeform_api.cpython-38.pyc
├── config.py
├── create_report.py
├── html_files
│ └── E_Mail_Template.html
├── main.py
├── preprocessing.py
├── requirements.txt
├── send_report.py
├── topic_modeling.py
├── typeform_api.py
└── venv
├── (...)
如我所说 - main.py 脚本 运行 在 pycharm IDE 中，但不是来自终端。
如何从终端 运行 我的脚本？
看起来您正在使用 venv， 你在 运行 你的脚本之前激活它了吗？
对于 Linux/Mac，您可以执行以下操作：
. venv/bin/activate
对于 windows 你应该使用：
source venv/Scripts/activate
激活虚拟环境后，您可以安装软件包：
pip install -r requirements.txt