Advanced usage
Skills
Advanced usage
技能
您可以为代理添加自定义功能，使其能够扩展其能力。这些自定义功能可以与代理的技能无缝集成，从而实现广泛的用户定义操作。
示例用法
import os
import pandas as pd
from pandasai import Agent
from pandasai.skills import skill
employees_data = {
"EmployeeID": [1, 2, 3, 4, 5],
"Name": ["John", "Emma", "Liam", "Olivia", "William"],
"Department": ["HR", "Sales", "IT", "Marketing", "Finance"],
}
salaries_data = {
"EmployeeID": [1, 2, 3, 4, 5],
"Salary": [5000, 6000, 4500, 7000, 5500],
}
employees_df = pd.DataFrame(employees_data)
salaries_df = pd.DataFrame(salaries_data)
# Function doc string to give more context to the model for use this skill
@skill
def plot_salaries(names: list[str], salaries: list[int]):
"""
Displays the bar chart having name on x-axis and salaries on y-axis
Args:
names (list[str]): Employees' names
salaries (list[int]): Salaries
"""
# plot bars
import matplotlib.pyplot as plt
plt.bar(names, salaries)
plt.xlabel("Employee Name")
plt.ylabel("Salary")
plt.title("Employee Salaries")
plt.xticks(rotation=45)
# By default, unless you choose a different LLM, it will use BambooLLM.
# You can get your free API key signing up at https://pandabi.ai (you can also configure it in your .env file)
os.environ["PANDASAI_API_KEY"] = "YOUR_API_KEY"
agent = Agent([employees_df, salaries_df], memory_size=10)
agent.add_skills(plot_salaries)
# Chat with the agent
response = agent.chat("Plot the employee salaries against names")
添加 Streamlit 技能
import os
import pandas as pd
from pandasai import Agent
from pandasai.skills import skill
import streamlit as st
employees_data = {
"EmployeeID": [1, 2, 3, 4, 5],
"Name": ["John", "Emma", "Liam", "Olivia", "William"],
"Department": ["HR", "Sales", "IT", "Marketing", "Finance"],
}
salaries_data = {
"EmployeeID": [1, 2, 3, 4, 5],
"Salary": [5000, 6000, 4500, 7000, 5500],
}
employees_df = pd.DataFrame(employees_data)
salaries_df = pd.DataFrame(salaries_data)
# Function doc string to give more context to the model for use this skill
@skill
def plot_salaries(names: list[str], salaries: list[int]):
"""
Displays the bar chart having name on x-axis and salaries on y-axis using streamlit
Args:
names (list[str]): Employees' names
salaries (list[int]): Salaries
"""
import matplotlib.pyplot as plt
plt.bar(names, salaries)
plt.xlabel("Employee Name")
plt.ylabel("Salary")
plt.title("Employee Salaries")
plt.xticks(rotation=45)
plt.savefig("temp_chart.png")
fig = plt.gcf()
st.pyplot(fig)
# By default, unless you choose a different LLM, it will use BambooLLM.
# You can get your free API key signing up at https://pandabi.ai (you can also configure it in your .env file)
os.environ["PANDASAI_API_KEY"] = "YOUR_API_KEY"
agent = Agent([employees_df, salaries_df], memory_size=10)
agent.add_skills(plot_salaries)
# Chat with the agent
response = agent.chat("Plot the employee salaries against names")
print(response)
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