python+dtale2.9.1源码

[](https://github.com/man-group/dtale) * [Live Demo](http://alphatechadmin.pythonanywhere.com) * [Animated US COVID-19 Deaths By State](http://alphatechadmin.pythonanywhere.com/dtale/charts/3?chart_type=maps&query=date+%3E+%2720200301%27&agg=raw&map_type=choropleth&loc_mode=USA-states&loc=state_code&map_val=deaths&colorscale=Reds&cpg=false&animate_by=date) * [3D Scatter Chart](http://alphatechadmin.pythonanywhere.com/dtale/charts/4?chart_type=3d_scatter&query=&x=date&z=Col0&agg=raw&cpg=false&y=%5B%22security_id%22%5D) * [Surface Chart](http://alphatechadmin.pythonanywhere.com/dtale/charts/4?chart_type=surface&query=&x=date&z=Col0&agg=raw&cpg=false&y=%5B%22security_id%22%5D) * [Network Analysis](http://alphatechadmin.pythonanywhere.com/dtale/network/5?to=to&from=from&group=route_id&weight=) ----------------- [](https://circleci.com/gh/man-group/dtale) [](https://pypi.python.org/pypi/dtale/) [](https://pypi.org/project/dtale/) [](https://anaconda.org/conda-forge/dtale) [](https://dtale.readthedocs.io) [](https://codecov.io/gh/man-group/dtale) [](https://pepy.tech/project/dtale) [](https://open.vscode.dev/man-group/dtale) ## What is it? D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. ## Origins D-Tale was the product of a SAS to Python conversion. What was originally a perl script wrapper on top of SAS's `insight` function is now a lightweight web client on top of Pandas data structures. ## In The News - [4 Libraries that can perform EDA in one line of python code](https://towardsdatascience.com/4-libraries-that-can-perform-eda-in-one-line-of-python-code-b13938a06ae) - [React Status](https://react.statuscode.com/issues/204) - [KDNuggets](https://www.kdnuggets.com/2020/08/bring-pandas-dataframes-life-d-tale.html) - [Man Institute](https://www.man.com/maninstitute/d-tale) (warning: contains deprecated functionality) - [Python Bytes](https://pythonbytes.fm/episodes/show/169/jupyter-notebooks-natively-on-your-ipad) - [FlaskCon 2020](https://www.youtube.com/watch?v=BNgolmUWBp4&t=33s) - [San Diego Python](https://www.youtube.com/watch?v=fLsGur5YqeE&t=29s) - [Medium: towards data science](https://towardsdatascience.com/introduction-to-d-tale-5eddd81abe3f) - [Medium: Exploratory Data Analysis – Using D-Tale](https://medium.com/da-tum/exploratory-data-analysis-1-4-using-d-tale-99a2c267db79) - [EOD Notes: Using python and dtale to analyze correlations](https://www.google.com/amp/s/eod-notes.com/2020/05/07/using-python-and-dtale-to-analyze-correlations/amp/) - [Data Exploration is Now Super Easy w/ D-Tale](https://dibyendudeb.com/d-tale-data-exploration-tool/) - [Practical Business Python](https://pbpython.com/dataframe-gui-overview.html) ## Tutorials - [Pip Install Python YouTube Channel](https://m.youtube.com/watch?v=0RihZNdQc7k&feature=youtu.be) - [machine_learning_2019](https://www.youtube.com/watch?v=-egtEUVBy9c) - [D-Tale The Best Library To Perform Exploratory Data Analysis Using Single Line Of Code🔥🔥🔥🔥](https://www.youtube.com/watch?v=xSXGcuiEzUc) - [Explore and Analyze Pandas Data Structures w/ D-Tale](https://m.youtube.com/watch?v=JUu5IYVGqCg) - [Data Preprocessing simplest method 🔥](https://www.youtube.com/watch?v=Q2kMNPKgN4g) ## Related Resources - [Adventures In Flask While Developing D-Tale](https://github.com/man-group/dtale/blob/master/docs/FlaskCon/FlaskAdventures.md) - [Adding Range Selection to react-virtualized](https://github.com/man-group/dtale/blob/master/docs/RANGE_SELECTION.md) - [Building Draggable/Resizable Modals](https://github.com/man-group/dtale/blob/master/docs/DRAGGABLE_RESIZABLE_MODALS.md) - [Embedding Flask Apps within Streamlit](https://github.com/man-group/dtale/blob/master/docs/EMBEDDED_STREAMLIT.md) ## Contents - [Where To Get It](#where-to-get-it) - [Getting Started](#getting-started) - [Python Terminal](#python-terminal) - [As A Script](#as-a-script) - [Jupyter Notebook](#jupyter-notebook) - [Jupyterhub w/ Jupyter Server Proxy](#jupyterhub-w-jupyter-server-proxy) - [Jupyterhub w/ Kubernetes](https://github.com/man-group/dtale/blob/master/docs/JUPYTERHUB_KUBERNETES.md) - [Docker Container](#docker-container) - [Google Colab](#google-colab) - [Kaggle](#kaggle) - [Binder](#binder) - [R with Reticulate](#r-with-reticulate) - [Startup with No Data](#startup-with-no-data) - [Command-line](#command-line) - [Custom Command-line Loaders](#custom-command-line-loaders) - [Embedding Within Your Own Flask App](https://github.com/man-group/dtale/blob/master/docs/EMBEDDED_FLASK.md) - [Embedding Within Your Own Django App](https://github.com/man-group/dtale/blob/master/docs/EMBEDDED_DJANGO.md) - [Embedding Within Streamlit](https://github.com/man-group/dtale/blob/master/docs/EMBEDDED_DTALE_STREAMLIT.md) - [Running D-Tale On Gunicorn w/ Redis](https://github.com/man-group/dtale/blob/master/docs/GUNICORN_REDIS.md) - [Configuration](https://github.com/man-group/dtale/blob/master/docs/CONFIGURATION.md) - [Authentication](#authentication) - [Predefined Filters](#predefined-filters) - [Using Swifter](#using-swifter) - [UI](#ui) - [Dimensions/Ribbon Menu/Main Menu](#dimensionsribbon-menumain-menu) - [Header](#header) - [Resize Columns](#resize-columns) - [Editing Cells](#editing-cells) - [Copy Cells Into Clipboard](#copy-cells-into-clipboard) - [Main Menu Functions](#main-menu-functions) - [XArray Operations](#xarray-operations), [Describe](#describe), [Outlier Detection](#outlier-detection), [Custom Filter](#custom-filter), [Dataframe Functions](#dataframe-functions), [Merge & Stack](#merge-&-stack), [Summarize Data](#summarize-data), [Duplicates](#duplicates), [Missing Analysis](#missing-analysis), [Correlations](#correlations), [Predictive Power Score](#predictive-power-score), [Heat Map](#heat-map), [Highlight Dtypes](#highlight-dtypes), [Highlight Missing](#highlight-missing), [Highlight Outliers](#highlight-outliers), [Highlight Range](#highlight-range), [Low Variance Flag](#low-variance-flag), [Instances](#instances), [Code Exports](#code-exports), [Export CSV](#export-csv), [Load Data & Sample Datasets](#load-data-&-sample-datasets), [Refresh Widths](#refresh-widths), [About](#about), [Theme](#theme), [Reload Data](#reload-data), [Unpin/Pin Menu](#unpinpin-menu), [Language](#language), [Shutdown](#shutdown) - [Column Menu Functions](#column-menu-functions) - [Filtering](#filtering), [Moving Columns](#moving-columns), [Hiding Columns](#hiding-columns), [Delete](#delete), [Rename](#rename), [Replacements](#replacements), [Lock](#lock), [Unlock](#unlock), [Sorting](#sorting), [Formats](#formats), [Describe (Column Analysis)](#describe-column-analysis) - [Charts](#charts) - [Network Viewer](#network-viewer) - [Hotkeys](#hotkeys) - [Menu Functions Depending on Browser Dimensions](#menu-functions-depending-on-browser-dimensions) - [For Developers](#for-developers)