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load and examples scripts
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gdcsinaptik committed Dec 13, 2024
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11 changes: 11 additions & 0 deletions new_examples/load_df.py
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import os
import pandasai as pai

os.environ["PANDASAI_API_URL"] = "http://localhost:8000/"
os.environ["PANDASAI_API_KEY"] = "PAI-test-key"

# Load using organization/dataset format
#df = pai.load("/home/giuseppe/Projects/pandas-ai/datasets/testing/loans")
df = pai.load("/home/giuseppe/Projects/pandas-ai/datasets/testing/loans", virtualized=True)

print(df.head())
24 changes: 24 additions & 0 deletions new_examples/quickstart.py
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import os
import pandasai as pai

os.environ["PANDASAI_API_URL"] = "http://localhost:8000/"
os.environ["PANDASAI_API_KEY"] = "PAI-test-key"

df = pai.read_csv("/home/giuseppe/Projects/pandas-ai/examples/data/Loan payments data.csv")

# ask questions
# replace "Which are the top 5 countries by sales?" with your question
response =df.chat('How many loans are from men and have been paid off?')
print(response)

img =df.chat('Plot the chart of loans paid off by men vs by women')
print(img)

"""
#minimal save
df.save(
path="testing/loans",
name="loans",
description="Loans dataset"
)
"""
71 changes: 71 additions & 0 deletions new_examples/save_csv.py
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import os
import pandasai as pai

os.environ["PANDASAI_API_URL"] = "http://localhost:8000/"
os.environ["PANDASAI_API_KEY"] = "PAI-test-key"

df = pai.read_csv("/home/giuseppe/Projects/pandas-ai/examples/data/Loan payments data.csv")

#save with fields descriptions
df.save(
path="testing/loans",
name="loans",
description="Loans dataset",
columns=[
{
"name": "Loan_ID",
"type": "string",
"description": "Unique identifier for each loan"
},
{
"name": "loan_status",
"type": "string",
"description": "Status of the loan (PAIDOFF, COLLECTION, COLLECTION_PAIDOFF)"
},
{
"name": "Principal",
"type": "number",
"description": "The initial amount of the loan"
},
{
"name": "terms",
"type": "number",
"description": "The duration of the loan in days"
},
{
"name": "effective_date",
"type": "date",
"description": "The date when the loan became effective"
},
{
"name": "due_date",
"type": "date",
"description": "The date when the loan payment is due"
},
{
"name": "paid_off_time",
"type": "datetime",
"description": "The timestamp when the loan was paid off (if applicable)"
},
{
"name": "past_due_days",
"type": "number",
"description": "Number of days the payment is past due (if applicable)"
},
{
"name": "age",
"type": "number",
"description": "Age of the borrower"
},
{
"name": "education",
"type": "string",
"description": "Education level of the borrower (High School or Below, Bechalor, college, Master or Above)"
},
{
"name": "Gender",
"type": "string",
"description": "Gender of the borrower (male/female)"
}
]
)
27 changes: 27 additions & 0 deletions new_examples/use_openai.py
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import os
import pandasai as pai
from pandasai_openai import OpenAI

os.environ["PANDASAI_API_URL"] = "http://localhost:8000/"
os.environ["PANDASAI_API_KEY"] = "PAI-test-key"

llm = OpenAI(api_token="your-key")
# Print LLM details
print("LLM Type:", type(llm).__name__)
print("LLM Instance:", llm)
print("LLM Model:", llm.model)

pai.config.set({
"llm": llm,
})

# Print current config to verify LLM setting
print("\nCurrent PandasAI Config:")
print("Active LLM:", pai.config._config.llm)

df = pai.load("/home/giuseppe/Projects/pandas-ai/datasets/testing/loans")
print(df.head())

response = df.chat("What is the average age of the borrowers?")

print(response)
1 change: 1 addition & 0 deletions pyproject.toml
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Expand Up @@ -11,6 +11,7 @@ packages = [{include = "pandasai"}]
python = ">=3.8,<3.9.7 || >3.9.7,<3.12"
python-dotenv = "^1.0.0"
pandas = "^2.0.3"
pyarrow = "^14.0.1"
scipy = "1.10.1"
astor = "^0.8.1"
matplotlib = "^3.7.1"
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