To set environment variables in Pipenv, you can use a .env file in your project's root directory. The .env file is automatically loaded by Pipenv when you run commands using the pipenv run command. Here's how you can set environment variables using the .env file:
Create a .env File:
In your project's root directory, create a file named .env.
Add Environment Variables:
Inside the .env file, you can add your environment variables in the format VAR_NAME=value. For example:
DEBUG=True DATABASE_URL=postgres://user:password@localhost/dbname API_KEY=your_api_key_here
Use Environment Variables:
You can now use these environment variables in your Pipenv commands using the pipenv run command. For example:
pipenv run python your_script.py
Inside your_script.py, you can access the environment variables using the os module:
import os
debug = os.environ.get('DEBUG')
database_url = os.environ.get('DATABASE_URL')
api_key = os.environ.get('API_KEY')
print(f"DEBUG: {debug}")
print(f"DATABASE_URL: {database_url}")
print(f"API_KEY: {api_key}")
Remember that the .env file should contain sensitive information, so it's recommended not to commit it to version control systems like Git. You can add .env to your .gitignore file to prevent accidental commits.
Keep in mind that the .env file is specific to Pipenv's environment. If you need to set environment variables for your entire system, you should set them at the system level using your operating system's tools.
When working with Seaborn's FacetGrid, you can improve the readability of x-axis tick labels by using the set_xticklabels() function and specifying the desired format for the tick labels. This is especially useful when you have multiple facets and you want to customize the x-axis tick labels for each facet individually.
Here's how you can set readable x-axis tick labels in a Seaborn FacetGrid:
import seaborn as sns
import matplotlib.pyplot as plt
# Load example data
tips = sns.load_dataset("tips")
# Create a FacetGrid with multiple facets based on 'day'
g = sns.FacetGrid(tips, col="day", col_wrap=2, height=4)
# Create a custom x-axis tick label format function
def custom_xticklabels(x, pos):
return f"${x:.2f}" # Format the tick label as a currency with 2 decimal places
# Set readable x-axis tick labels using the custom format function
g.set_xticklabels(func=custom_xticklabels)
# Plot the data
g.map_dataframe(sns.scatterplot, x="total_bill", y="tip")
# Set other plot properties
g.set_axis_labels("Total Bill ($)", "Tip ($)")
g.set_titles("{col_name}")
g.tight_layout()
# Show the plot
plt.show()
In this example, we create a FacetGrid with multiple facets based on the "day" column from the "tips" dataset. We then define a custom custom_xticklabels() function that formats the x-axis tick labels as currency with two decimal places. We use the set_xticklabels() function with the func parameter to apply the custom format function to the x-axis tick labels in each facet.
Adjust the custom_xticklabels() function to match the desired formatting for your tick labels.
Keep in mind that Seaborn's FacetGrid allows you to customize various aspects of your plots, so you can tailor the appearance of each facet to your specific needs.
In Fabric, you can set target hosts (remote hosts on which you want to run commands) by defining them in your Fabric script (often named fabfile.py). Fabric provides a way to specify hosts using the env dictionary. Here's how you can set target hosts in a Fabric file:
Import the fabric library and define your task(s) within your fabfile.py:
from fabric import task, Connection
@task
def my_task(c):
# Your task code here
Set the env.hosts variable to specify the target hosts. You can define a single host as a string or multiple hosts as a list of strings:
from fabric import task, Connection env.hosts = ["[email protected]", "[email protected]"] @task def my_task(c): # Your task code here
In the above example, replace "[email protected]" and "[email protected]" with the actual SSH usernames and host addresses of your target hosts.
In your task function, you can use the Connection object (c) to run commands on the specified target host(s). Fabric will run the task on all hosts defined in env.hosts.
from fabric import task, Connection env.hosts = ["[email protected]", "[email protected]"] @task def my_task(c): # Run a command on the target host c.run("ls -l")
To run your Fabric task, use the fab command followed by the task name:
fab my_task
Fabric will execute the specified task on all the hosts defined in env.hosts.
This is a basic example of setting target hosts in Fabric. You can customize the tasks and host configurations as needed for your specific use case.