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datadistillr-1.0.1
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مشاهده بیشترتوضیحات
A Python SDK for interacting with datasets created on DataDistillr
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | datadistillr-1.0.1 |
| نام | datadistillr |
| نسخه کتابخانه | 1.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Charles Givre, Amanda Ha, Andrea Ha, Sanaa Mironov |
| ایمیل نویسنده | charles@datadistillr.com |
| آدرس صفحه اصلی | https://github.com/datadistillr/datadistillr-python-sdk |
| آدرس اینترنتی | https://pypi.org/project/datadistillr/ |
| مجوز | Apache |
# DataDistillr Python SDK
This library allows you to programmatically interact with DataDistillr. It is quite simple to programmatically pull data
from DataDistillr for use in machine learning.
## Installing the SDK
The DataDistillr Python SDK is [available on Pypi](https://pypi.org/project/datadistillr/). You can install it with pip as shown below:
```
pip install datadistillr
```
### Methods
#### Datadistillr
* `get_dataframe(url, auth_token)`: Pulls your data and returns it in a Pandas DataFrame.
* `get_csv_from_api(url, auth_token, filename)`: Pulls your data and returns it in a CSV file.
* `get_json_from_api(url, auth_token, filename)`: Pulls your data and returns it in a JSON file.
* `get_parquet_from_api(url, auth_token, filename)`: Pulls your data and returns it in a parquet file.
* `get_excel_from_api(url, auth_token, filename)`: Pulls your data and returns it in an Excel file.
* `get_dict_from_api(url, auth_token, filename)`: Pulls your data and returns it in a Python dictionary.
#### DatadistillrAccount
* `logout()`: Logs you out of DataDistillr account.
* `get_projects()`: Returns all projects in DataDistillr account as a list of Project objects.
* `get_project_token_dict()`: Returns dictionary with project tokens as keys and project names as values.
* `get_project_token(project_name)`: Returns project token that matches project_name
* `get_project(project_token)`: Returns project object identified by project_token.
* `get_organizations()`: Returns list organizations that DataDistillr account has access to.
#### Project
Note: A tab in the DataDistillr user interface is equivalent to a query barrel in API routes and responses. All public functions use the phrasing "tab" while all private functions use "query barrel"
* `get_tab_token_dict()`: Returns dictionary with tab tokens as keys and tab names as values.
* `get_tab_token(tab_name)`: Returns tab token that matches tab_name
* `execute_existing_query(tab_token)`: Executes the most recent query in the tab identified by tab_token.
* `execute_new_query(tab_name, query)`: Creates new tab named tab_name and executes query in new tab.
* `get_data_source_token_dict()`: Returns dictionary with data source tokens as keys and data source names as values.
* `get_data_source_token(data_source_name)`: Returns data source token that matches data_source_name
* `upload_files(data_source_token, file_paths)`: Uploads files to a data source. file_paths must be a list of absolute file path strings.
### Getting your Endpoint URL and Authorization Token
See https://docs.datadistillr.com/ddr/ for complete documentation on obtaining the URL and Auth Token.
### Usage
Using the SDK in Python code is quite simple. See the Examples below:
Importing SDK
```python
import datadistillr as ddr
```
Getting data from API Access Clients
```python
url = <Your URL From DataDistillr>
auth_token = <AUTH TOKEN>
dataframe = ddr.Datadistillr.get_dataframe(url, auth_token)
```
Logging in to a DataDistillr Account
```python
email = <Your Email linked to DataDistillr Account>
password = <Your Password>
ddr_account = ddr.DatadistillrAccount(email, password)
```
Getting a project object
```python
project_name = <Name of project within DataDistillr Account>
project_token = ddr_account.get_project_token(project_name)
project = ddr_account.get_project(project_token)
```
Executing an existing query from a tab within a project
```python
tab_name = <Name of tab within project>
tab_token = project.get_tab_token(tab_name)
data_frame = project.execute_existing_query(tab_token)
```
Uploading files to a data source within a project
```python
data_source_name = <Name of data source within project>
file_paths = <List of absolute file path strings of files that you want to upload>
data_source_token = project.get_data_source_token(data_source_name)
project.upload_files(data_source_token, file_paths)
```
نیازمندی
| مقدار | نام |
|---|---|
| - | pandas |
| - | requests |
| - | urllib3 |
نحوه نصب
نصب پکیج whl datadistillr-1.0.1:
pip install datadistillr-1.0.1.whl
نصب پکیج tar.gz datadistillr-1.0.1:
pip install datadistillr-1.0.1.tar.gz