معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Powerful visualizations, and an easy to use, interactive api for exploring and loading datasets

ویژگی	مقدار
سیستم عامل	-
نام فایل	chart-tools-0.1.3
نام	chart-tools
نسخه کتابخانه	0.1.3
نگهدارنده	[]
ایمیل نگهدارنده	['Ryan Young <dev@ryayoung.com>']
نویسنده	-
ایمیل نویسنده	Ryan Young <dev@ryayoung.com>
آدرس صفحه اصلی	-
آدرس اینترنتی	https://pypi.org/project/chart-tools/
مجوز	Copyright 2022 Ryan Young Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

<h1> chart-tools     <a href="https://pypi.org/project/chart-tools/" alt="Version"> <img src="https://img.shields.io/pypi/v/chart-tools.svg" /></a> </h1>  <br> ## Install & Use Must have python 3.9+ ``` pip install chart-tools ``` ```py import chart_tools as ct ct.load_data() # outputs available pre-defined data sources ``` <br> # [Data Interface](https://github.com/ryayoung/chart-tools/blob/main/sampledata.md) #### Easily load datasets and explore available sources with one line of code - The [`load_data()`](https://github.com/ryayoung/chart-tools/blob/main/sampledata.md) function and [`DataSource`](https://github.com/ryayoung/chart-tools/blob/main/sampledata.md) object use Github's API to explore file structures in repositories containing `.csv` files, and easily load files into dataframes. Chart-tools has a pre-defined library (collection of repositories) for you to explore within your notebook and load data from. #### Robust caching system designed for Python notebooks, performing great with large datasets. - Any dataframe you load gets cached in memory, remembering which pandas keyword arguments you used when loading the file. Next time you load it, you'll get a _copy_ of the cached dataframe, unless you pass different keyword arguments. Not only is this great for performance with large datasets, but it also eliminates the common need to declare a `df_raw = ...` and then use `df = df_raw.copy()` to get your original data again. #### Has a pre-defined library of data sources to explore, and lets you easily define your own library - Save an entire Github repository file structure (csv files only) to your desktop # # [Charts & Visualization](https://github.com/ryayoung/chart-tools/blob/main/superheat.md) ### [`superheat`](https://github.com/ryayoung/chart-tools/blob/main/superheat.md) - A "super" correlation heatmap you can't find elsewhere, designed for speed and ease of use. - Marks are sized dynamically based on correlation strength, drawing your eyes straight to the most important relationships. - Easily filter out variables whose coefficients average below a threshold, or simply mask/hide marks below a threshold. #### Examples <img width="450" alt="Screen Shot 2022-04-24 at 3 02 22 AM" src="https://user-images.githubusercontent.com/90723578/164968825-2679e57e-4df1-44fd-9465-6cca60c211ce.png"> <img width="1000" alt="Screen Shot 2022-04-24 at 3 09 06 AM" src="https://user-images.githubusercontent.com/90723578/164969119-f7950d5a-f40c-4a6e-b6d6-cc1067dec474.png">

نیازمندی

مقدار	نام
-	matplotlib
-	numpy
-	pandas
-	requests
-	seaborn

زبان مورد نیاز

مقدار	نام
>=3.9	Python

نحوه نصب

نصب پکیج whl chart-tools-0.1.3:

pip install chart-tools-0.1.3.whl

نصب پکیج tar.gz chart-tools-0.1.3:

pip install chart-tools-0.1.3.tar.gz