pandas-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, pandas-profiling delivers an extended analysis of a DataFrame while alllowing the data analysis to be exported in different formats such as html and json. The package outputs a simple and digested analysis of a dataset, including time-series and text.
| Uploaded | Mon Mar 31 23:07:41 2025 |
| md5 checksum | 2812628ade9806741b05624e936fc448 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| constrains | jupyter-client >=5.3.4, ipywidgets >=7.5.1, tangled-up-in-unicode==0.2.0, jupyter-core >=4.6.3 |
| depends | htmlmin 0.1.12, imagehash, jinja2 >=2.11.1,<3.2, matplotlib-base >=3.2,<3.7, multimethod >=1.4,<1.10, numpy >=1.16.0,<1.24, pandas >1.1,<1.6,!=1.4.0, phik >=0.11.1,<0.13, pillow, pydantic >=1.8.1,<1.11, python >=3.10,<3.11.0a0, pyyaml >=5.0.0,<6.1, requests >=2.24.0,<2.29, scipy >=1.4.1,<1.10, seaborn >=0.10.1,<0.13, statsmodels >=0.13.2,<0.14, tqdm >=4.48.2,<4.65, typeguard >=2.13.2,<2.14, visions 0.7.5 |
| license | MIT |
| license_family | MIT |
| md5 | 2812628ade9806741b05624e936fc448 |
| name | pandas-profiling |
| platform | linux |
| sha1 | cc42dae74e253a9977a1a3746cc4d7b18d759266 |
| sha256 | 4e12f087a4f2cafa9e7c56bcbabb3936a4148e94c8c98292c81689591d7bb670 |
| size | 305576 |
| subdir | linux-64 |
| timestamp | 1674806970052 |
| version | 3.6.3 |