| Name | llama-index-readers-pandas-ai JSON |
| Version |
0.4.1
JSON |
| download |
| home_page | None |
| Summary | llama-index readers pandas_ai integration |
| upload_time | 2024-11-18 16:11:53 |
| maintainer | jerryjliu |
| docs_url | None |
| author | Your Name |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
ai
pandas
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Pandas AI Loader
```bash
pip install llama-index-readers-pandas-ai
```
This loader is a light wrapper around the `PandasAI` Python package.
See here: https://github.com/gventuri/pandas-ai.
You can directly get the result of `pandasai.run` command, or
you can choose to load in `Document` objects via `load_data`.
## Usage
```python
from pandasai.llm.openai import OpenAI
import pandas as pd
# Sample DataFrame
df = pd.DataFrame(
{
"country": [
"United States",
"United Kingdom",
"France",
"Germany",
"Italy",
"Spain",
"Canada",
"Australia",
"Japan",
"China",
],
"gdp": [
21400000,
2940000,
2830000,
3870000,
2160000,
1350000,
1780000,
1320000,
516000,
14000000,
],
"happiness_index": [7.3, 7.2, 6.5, 7.0, 6.0, 6.3, 7.3, 7.3, 5.9, 5.0],
}
)
llm = OpenAI()
from llama_index.readers.pandas_ai import PandasAIReader
# use run_pandas_ai directly
# set is_conversational_answer=False to get parsed output
loader = PandasAIReader(llm=llm)
response = reader.run_pandas_ai(
df, "Which are the 5 happiest countries?", is_conversational_answer=False
)
print(response)
# load data with is_conversational_answer=False
# will use our PandasCSVReader under the hood
docs = reader.load_data(
df, "Which are the 5 happiest countries?", is_conversational_answer=False
)
# load data with is_conversational_answer=True
# will use our PandasCSVReader under the hood
docs = reader.load_data(
df, "Which are the 5 happiest countries?", is_conversational_answer=True
)
```
This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).
Raw data
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"description": "# Pandas AI Loader\n\n```bash\npip install llama-index-readers-pandas-ai\n```\n\nThis loader is a light wrapper around the `PandasAI` Python package.\n\nSee here: https://github.com/gventuri/pandas-ai.\n\nYou can directly get the result of `pandasai.run` command, or\nyou can choose to load in `Document` objects via `load_data`.\n\n## Usage\n\n```python\nfrom pandasai.llm.openai import OpenAI\nimport pandas as pd\n\n# Sample DataFrame\ndf = pd.DataFrame(\n {\n \"country\": [\n \"United States\",\n \"United Kingdom\",\n \"France\",\n \"Germany\",\n \"Italy\",\n \"Spain\",\n \"Canada\",\n \"Australia\",\n \"Japan\",\n \"China\",\n ],\n \"gdp\": [\n 21400000,\n 2940000,\n 2830000,\n 3870000,\n 2160000,\n 1350000,\n 1780000,\n 1320000,\n 516000,\n 14000000,\n ],\n \"happiness_index\": [7.3, 7.2, 6.5, 7.0, 6.0, 6.3, 7.3, 7.3, 5.9, 5.0],\n }\n)\n\nllm = OpenAI()\n\nfrom llama_index.readers.pandas_ai import PandasAIReader\n\n# use run_pandas_ai directly\n# set is_conversational_answer=False to get parsed output\nloader = PandasAIReader(llm=llm)\nresponse = reader.run_pandas_ai(\n df, \"Which are the 5 happiest countries?\", is_conversational_answer=False\n)\nprint(response)\n\n# load data with is_conversational_answer=False\n# will use our PandasCSVReader under the hood\ndocs = reader.load_data(\n df, \"Which are the 5 happiest countries?\", is_conversational_answer=False\n)\n\n# load data with is_conversational_answer=True\n# will use our PandasCSVReader under the hood\ndocs = reader.load_data(\n df, \"Which are the 5 happiest countries?\", is_conversational_answer=True\n)\n```\n\nThis loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).\n",
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