Archive for the ‘Python / SciPy / pandas’ Category.
2024-01-13, 11:14
Neben dem Download von Dateien klappt auch der Upload von Dateien problemlos.
import os
import paramiko
# Replace these variables with your specific values
host = '192.168.0.22'
port = 22
username = '<user>'
private_key_path = 'keyfile'
remote_directory_path = '/home/uwe/uploadtest'
local_directory_path = 'E:/uploadtest'
# Establish an SSH transport session
private_key = paramiko.RSAKey(filename=private_key_path)
transport = paramiko.Transport((host, port))
transport.connect(username=username, pkey=private_key)
# Create an SFTP client
sftp = paramiko.SFTPClient.from_transport(transport)
try:
# Iterate through local files in the specified folder
for local_file in os.listdir(local_directory_path):
local_file_path = os.path.join(local_directory_path, local_file)
# Check if the file is a CSV file
if os.path.isfile(local_file_path): # and local_file.lower().endswith('.csv'):
remote_file_path = os.path.join(remote_directory_path, local_file)
# Upload the CSV file
sftp.put(local_file_path, remote_file_path)
print(f"Uploaded: {local_file} to {remote_file_path}")
finally:
# Close the SFTP session and SSH transport
sftp.close()
transport.close() |
import os
import paramiko
# Replace these variables with your specific values
host = '192.168.0.22'
port = 22
username = '<user>'
private_key_path = 'keyfile'
remote_directory_path = '/home/uwe/uploadtest'
local_directory_path = 'E:/uploadtest'
# Establish an SSH transport session
private_key = paramiko.RSAKey(filename=private_key_path)
transport = paramiko.Transport((host, port))
transport.connect(username=username, pkey=private_key)
# Create an SFTP client
sftp = paramiko.SFTPClient.from_transport(transport)
try:
# Iterate through local files in the specified folder
for local_file in os.listdir(local_directory_path):
local_file_path = os.path.join(local_directory_path, local_file)
# Check if the file is a CSV file
if os.path.isfile(local_file_path): # and local_file.lower().endswith('.csv'):
remote_file_path = os.path.join(remote_directory_path, local_file)
# Upload the CSV file
sftp.put(local_file_path, remote_file_path)
print(f"Uploaded: {local_file} to {remote_file_path}")
finally:
# Close the SFTP session and SSH transport
sftp.close()
transport.close()
2024-01-13, 11:12
Aktuell benötige ich Funktionen, um mit Python Dateien von SFTP Servern zu holen bzw. Dateien auf diese hochzuladen. Chat GPT hatte folgenden Code für mich, der sehr gut funktioniert.
import os
import paramiko
# Replace these variables with your specific values
host = '192.168.0.238'
port = 22
username = '<user>'
private_key_path = '<keyfile>'
remote_directory_path = '/home/uwe/downloadtest'
local_directory_path = 'E:/downloadtest'
# Establish SSH connection
try:
# Create a new SSH client
ssh_client = paramiko.SSHClient()
# Automatically add the server's host key
ssh_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# Load the private key for authentication
private_key = paramiko.RSAKey.from_private_key_file(private_key_path)
# Connect to the server
ssh_client.connect(hostname=host, port=port, username=username, pkey=private_key)
# Open an SFTP session on the SSH connection
sftp = ssh_client.open_sftp()
# Change to the remote directory
sftp.chdir(remote_directory_path)
# List all files in the remote directory
files = sftp.listdir()
# Download each CSV file in the remote directory
for file_name in files:
# os path join uses system slashes, must make sure they are right
remote_file_path = os.path.join(remote_directory_path, file_name).replace("\\","/")
local_file_path = os.path.join(local_directory_path, file_name).replace("\\","/")
print(remote_file_path, local_file_path)
# Check if the file is a CSV file
if file_name.lower().endswith('.txt'):
sftp.get(remote_file_path, local_file_path)
print(f"File '{file_name}' downloaded successfully to '{local_directory_path}'")
# Close the SFTP session and SSH connection
sftp.close()
ssh_client.close()
except paramiko.AuthenticationException:
print("Authentication failed. Please check your credentials or SSH key path.")
except paramiko.SSHException as e:
print(f"SSH connection failed: {e}")
except FileNotFoundError:
print("File not found. Please provide the correct file paths.")
except Exception as e:
print(f"An error occurred: {e}") |
import os
import paramiko
# Replace these variables with your specific values
host = '192.168.0.238'
port = 22
username = '<user>'
private_key_path = '<keyfile>'
remote_directory_path = '/home/uwe/downloadtest'
local_directory_path = 'E:/downloadtest'
# Establish SSH connection
try:
# Create a new SSH client
ssh_client = paramiko.SSHClient()
# Automatically add the server's host key
ssh_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# Load the private key for authentication
private_key = paramiko.RSAKey.from_private_key_file(private_key_path)
# Connect to the server
ssh_client.connect(hostname=host, port=port, username=username, pkey=private_key)
# Open an SFTP session on the SSH connection
sftp = ssh_client.open_sftp()
# Change to the remote directory
sftp.chdir(remote_directory_path)
# List all files in the remote directory
files = sftp.listdir()
# Download each CSV file in the remote directory
for file_name in files:
# os path join uses system slashes, must make sure they are right
remote_file_path = os.path.join(remote_directory_path, file_name).replace("\\","/")
local_file_path = os.path.join(local_directory_path, file_name).replace("\\","/")
print(remote_file_path, local_file_path)
# Check if the file is a CSV file
if file_name.lower().endswith('.txt'):
sftp.get(remote_file_path, local_file_path)
print(f"File '{file_name}' downloaded successfully to '{local_directory_path}'")
# Close the SFTP session and SSH connection
sftp.close()
ssh_client.close()
except paramiko.AuthenticationException:
print("Authentication failed. Please check your credentials or SSH key path.")
except paramiko.SSHException as e:
print(f"SSH connection failed: {e}")
except FileNotFoundError:
print("File not found. Please provide the correct file paths.")
except Exception as e:
print(f"An error occurred: {e}")
2024-01-13, 11:08
Aktuell benötige ich Funktionalitäten in Python, um E-Mails automatisch versenden zu lassen. Über Chat-GPT habe ich mir passenden Code basteln lassen, der recht gut funktioniert.
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def send_email():
# Email content
sender_email = 'YOUR_EMAIL_ADDRESS'
password = 'YOUR_PASSWORD'
recipient_email = 'RECIPIENT_EMAIL_ADDRESS'
subject = 'SUBJECT'
body = 'EMAIL_BODY'
# Create a multipart message and set headers
message = MIMEMultipart()
message['From'] = sender_email
message['To'] = recipient_email
message['Subject'] = subject
# Add body to email
message.attach(MIMEText(body, 'plain'))
try:
# Connect to SMTP server (for Gmail use 'smtp.gmail.com', for others, refer to your provider's settings)
smtp_server = smtplib.SMTP('smtp.yourprovider.com', 587)
smtp_server.starttls() # Enable encryption for security
smtp_server.login(sender_email, password)
# Send email
smtp_server.sendmail(sender_email, recipient_email, message.as_string())
print("Email sent successfully!")
# Close the connection
smtp_server.quit()
except Exception as e:
print(f"Error: {e}")
print("Email was not sent.")
# Call the function to send the email
send_email() |
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def send_email():
# Email content
sender_email = 'YOUR_EMAIL_ADDRESS'
password = 'YOUR_PASSWORD'
recipient_email = 'RECIPIENT_EMAIL_ADDRESS'
subject = 'SUBJECT'
body = 'EMAIL_BODY'
# Create a multipart message and set headers
message = MIMEMultipart()
message['From'] = sender_email
message['To'] = recipient_email
message['Subject'] = subject
# Add body to email
message.attach(MIMEText(body, 'plain'))
try:
# Connect to SMTP server (for Gmail use 'smtp.gmail.com', for others, refer to your provider's settings)
smtp_server = smtplib.SMTP('smtp.yourprovider.com', 587)
smtp_server.starttls() # Enable encryption for security
smtp_server.login(sender_email, password)
# Send email
smtp_server.sendmail(sender_email, recipient_email, message.as_string())
print("Email sent successfully!")
# Close the connection
smtp_server.quit()
except Exception as e:
print(f"Error: {e}")
print("Email was not sent.")
# Call the function to send the email
send_email()
Falls der SMTP-Server keine Authentifizierung braucht, dann reicht auch das folgende
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def send_email():
# Email content
sender_email = 'YOUR_EMAIL_ADDRESS'
recipient_email = 'RECIPIENT_EMAIL_ADDRESS'
subject = 'SUBJECT'
body = 'EMAIL_BODY'
# Create a multipart message and set headers
message = MIMEMultipart()
message['From'] = sender_email
message['To'] = recipient_email
message['Subject'] = subject
# Add body to email
message.attach(MIMEText(body, 'plain'))
try:
# Connect to SMTP server
smtp_server = smtplib.SMTP('smtp.yourprovider.com') # Replace with your SMTP server address
smtp_server.sendmail(sender_email, recipient_email, message.as_string())
print("Email sent successfully!")
# Close the connection
smtp_server.quit()
except Exception as e:
print(f"Error: {e}")
print("Email was not sent.")
# Call the function to send the email
send_email() |
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def send_email():
# Email content
sender_email = 'YOUR_EMAIL_ADDRESS'
recipient_email = 'RECIPIENT_EMAIL_ADDRESS'
subject = 'SUBJECT'
body = 'EMAIL_BODY'
# Create a multipart message and set headers
message = MIMEMultipart()
message['From'] = sender_email
message['To'] = recipient_email
message['Subject'] = subject
# Add body to email
message.attach(MIMEText(body, 'plain'))
try:
# Connect to SMTP server
smtp_server = smtplib.SMTP('smtp.yourprovider.com') # Replace with your SMTP server address
smtp_server.sendmail(sender_email, recipient_email, message.as_string())
print("Email sent successfully!")
# Close the connection
smtp_server.quit()
except Exception as e:
print(f"Error: {e}")
print("Email was not sent.")
# Call the function to send the email
send_email()
2023-01-29, 12:28
Aktuell warte ich auf die Verfügbarkeit eines bestimmten Werkzeugs bei einem Online-Händler. Das geht auch gut mit Python 🙂
Man könnte das noch weiter automatisieren und beispielsweise eine E-Mail verschicken, wenn sich der Status ändert.
import requests
from bs4 import BeautifulSoup
headers = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET',
'Access-Control-Allow-Headers': 'Content-Type',
'Access-Control-Max-Age': '3600',
'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0'
}
url = "https://www.somecoolstore.de/de_DE/EUR/someproductpage"
req = requests.get(url, headers)
soup = BeautifulSoup(req.content, 'html.parser')
a=mydivs = soup.find("span", {"class": "padlr0-xsl"})
print(a.text)
input('Push any key') |
import requests
from bs4 import BeautifulSoup
headers = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET',
'Access-Control-Allow-Headers': 'Content-Type',
'Access-Control-Max-Age': '3600',
'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0'
}
url = "https://www.somecoolstore.de/de_DE/EUR/someproductpage"
req = requests.get(url, headers)
soup = BeautifulSoup(req.content, 'html.parser')
a=mydivs = soup.find("span", {"class": "padlr0-xsl"})
print(a.text)
input('Push any key')
2022-12-25, 22:38
Vor kurzem bin ich gefragt worden, wie man mit jinja2 Umlaute rendern kann. Grundsätzlich hatte ich auch angenommen, dass dies wegen Unicode und so kein Problem sein kann, konnte aber das aufgetretene Problem „öäüÖÜÄ,“ nachstellen.
Die Lösung war dann die folgende:
from jinja2 import Environment, BaseLoader
myString = 'öäü{{hello}}'
template = Environment(loader=BaseLoader).from_string(myString)
with open('render2.tex','wb') as output:
x = template.render(hello='ÖÜÄ')
output.write(x.encode('utf-8')) |
from jinja2 import Environment, BaseLoader
myString = 'öäü{{hello}}'
template = Environment(loader=BaseLoader).from_string(myString)
with open('render2.tex','wb') as output:
x = template.render(hello='ÖÜÄ')
output.write(x.encode('utf-8'))
2022-12-11, 16:17
Ich bin aktuell dabei, mich mehr in die Anwendungsprogrammierung mit Python einzuarbeiten. Irgendwann läuft es auf ein MVC-Framework hinaus, bis dahin ist erst einmal Experimentieren angesagt. Das folgende Beispiel legt eine SQLite In-Memory Datenbank an, fügt einige Datensätze ein und ändert einen der Datensätze ab. Die Anpassungen werden dabei historisiert über das Validfrom and Validto.
import toml # handle toml files
import sqlite3
from datetime import datetime
import time
settings = toml.load('settings.toml')
dbfilename = settings['dbfilename']
conn = sqlite3.connect(":memory:")
c = conn.cursor()
with conn:
c.execute(
"""
create table if not exists
contacts (id integer primary key,
personid integer,
validfrom text,
validto text,
firstname text,
lastname text,
phonenumber text);
"""
)
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
c.execute(f"INSERT INTO contacts (personid, validfrom, validto, firstname, lastname, phonenumber) values (1,'{now}','9999-12-31 23:59:59','Mickey','Mouse','0123-456')")
c.execute(f"INSERT INTO contacts (personid, validfrom, validto, firstname, lastname, phonenumber) values (2,'{now}','9999-12-31 23:59:59','Donald','Duck','0123-123')")
time.sleep(6)
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
c.execute(f"UPDATE contacts set validto = '{now}' where id = 1")
time.sleep(6)
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
c.execute(f"INSERT INTO contacts (personid, validfrom,validto, firstname, lastname, phonenumber) values (1, '{now}','9999-12-31 23:59:59','Mickey','Mouse','0123-789')")
result = c.execute(f"select * from contacts where validto > '2023-12-31';").fetchall()
for row in result:
print(row) |
import toml # handle toml files
import sqlite3
from datetime import datetime
import time
settings = toml.load('settings.toml')
dbfilename = settings['dbfilename']
conn = sqlite3.connect(":memory:")
c = conn.cursor()
with conn:
c.execute(
"""
create table if not exists
contacts (id integer primary key,
personid integer,
validfrom text,
validto text,
firstname text,
lastname text,
phonenumber text);
"""
)
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
c.execute(f"INSERT INTO contacts (personid, validfrom, validto, firstname, lastname, phonenumber) values (1,'{now}','9999-12-31 23:59:59','Mickey','Mouse','0123-456')")
c.execute(f"INSERT INTO contacts (personid, validfrom, validto, firstname, lastname, phonenumber) values (2,'{now}','9999-12-31 23:59:59','Donald','Duck','0123-123')")
time.sleep(6)
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
c.execute(f"UPDATE contacts set validto = '{now}' where id = 1")
time.sleep(6)
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
c.execute(f"INSERT INTO contacts (personid, validfrom,validto, firstname, lastname, phonenumber) values (1, '{now}','9999-12-31 23:59:59','Mickey','Mouse','0123-789')")
result = c.execute(f"select * from contacts where validto > '2023-12-31';").fetchall()
for row in result:
print(row)
2022-09-18, 13:45
Hier ein cleveres Beispiel aus dem Internet (Quelle habe ich leider nicht mehr) dafür, wie man mit pandas einfach SQL Inserts erzeugen kann. In der Datei Daten.csv finden sich die einzufügenden Daten zusammen mit den entsprechenden Spaltennamen der Datenbanktabelle.
Über df.columns bekommen wir dann beim Insert die benötigten Spaltennamen aus dem DataFrame geliefert, über das Tuple der Zeilenwerte row.values die einzufügenden Werte.
import pandas as pd
df = pd.read_csv('Daten.csv', sep=';', decimal=',')
with open('Statements2.sql', 'w') as o:
for index, row in df.iterrows():
o.write('INSERT INTO aaaaaa('+ str(', '.join(df.columns))+ ') VALUES '+ str(tuple(row.values))+';\n') |
import pandas as pd
df = pd.read_csv('Daten.csv', sep=';', decimal=',')
with open('Statements2.sql', 'w') as o:
for index, row in df.iterrows():
o.write('INSERT INTO aaaaaa('+ str(', '.join(df.columns))+ ') VALUES '+ str(tuple(row.values))+';\n')
2022-07-09, 18:47
Der folgende Trick hat mir einige Klimmzüge erspart. In einer Textdatei gab es an diversen Stellen mehrfache Leerzeichen, die ich durch ein einzelnes ersetzen wollte.
Ich hätte jetzt einfach so lange doppelte Leerzeichen durch ein einzelnes ersetzen können, bis keine doppelten Leerzeichen mehr vorhanden sind, über einen regular expression geht es aber viel eleganter.
import re
s = 'a b c'
print(re.sub('\s+',' ',s)) |
import re
s = 'a b c'
print(re.sub('\s+',' ',s))
2022-06-27, 21:02
Ich hatte vor kurzem das Problem (oder die „Challenge“), einen sehr komplexen Cognos-Report anpassen zu müssen. In mehreren dutzend Formeln mussten Formeln angepasst werden, den Formel-Check zur Prüfung meiner Anpassungen konnte ich jedoch nicht nutzen, da die Datenüberprüfung unendlich lang gedauert hätte (schlechtes Report-Design…).
Mit Python gab es aber eine einfache und elegante Lösung, die mit dem Export des Report-Designs in eine XML-Datei begann.
In der XML-Datei fanden sich dann Schnipsel wie
<expression>abs(total((if ([Database].[storedProc].[ColumnID]=6) then ([Database].[storedProc].[Amount]) else (0))))</expression>
Mit dem folgenden Programm-Code konnte ich dann innerhalb der expression-Tags einfach die öffnenden und schließenden Klammern zählen. Wenn die Zahl der öffnenden Klammern nicht der Zahl der schließenden Klammern entsprach, war die Formel noch falsch.
import re
buffer = open('./Report.xml','r').read()
results = re.findall(r"(<expression>)(.*)(</expression>)",buffer,re.MULTILINE)
for result in results:
expression = result[1]
opened = expression.count('(')
closed = expression.count(')')
if opened != closed:
print(expression) |
import re
buffer = open('./Report.xml','r').read()
results = re.findall(r"(<expression>)(.*)(</expression>)",buffer,re.MULTILINE)
for result in results:
expression = result[1]
opened = expression.count('(')
closed = expression.count(')')
if opened != closed:
print(expression)