# pandas-profiling
---
â ï¸ **`pandas-profiling` package naming was changed. To continue profiling data use [`ydata-profiling`](https://github.com/ydataai/ydata-profiling) instead!**
This repo implements the brownout strategy for deprecating the pandas-profiling package on PyPI.â ï¸
---
<p align="center"><img width="500" src="https://ydata-profiling.ydata.ai/docs/assets/logo_header.png" alt="Pandas Profiling Logo"></p>
### ð New year, new face, more functionalities!
> Thank you for using and following ``pandas-profiling`` developments. Yet, we have a new exciting feature - we are now thrilled to announce
> that <u>Spark</u> is now part of the Data Profiling family from version 4.0.0 onwards
>
> With its introduction, there was also the need for a new naming, one that will allow to decouple the concept of profiling from the Pandas Dataframes - `ydata-profiling`!
>
> But fear not, `pip install pandas-profiling` will still be a valid for a while, and we will keep investing in growing the best open-source for data profiling, so you can use it for even more use cases.
# How to fix the error for the main use cases
- use `pip install ydata-profiling` rather than `pip install pandas-profiling`
- replace `pandas-profiling` by `ydata-profiling` in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
- if the `pandas-profiling` package is used by one of your dependencies it would be great if you take some time to track which package uses `pandas_profiling` instead of `ydata_profiling` for the imports
## Schedule for deprecation
- `ydata-profiling` was launched in February 1st.
- `pip install pandas-profiling` will still be supported until **April 1st**, but a warning will be thrown. `from pandas_profiling import ProfileReport` will be supported until April 1st.
- After April 1st, an error will be thrown if `pip install pandas-profiling` is used. Use `pip install ydata-profiling` instead.
- After April 1st, an error will be thrown if `from pandas_profiling import ProfileReport` is used. Use `from ydata_profiling import ProfileReport` instead.
### About pandas-profiling
`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**.
<p align="center">
<a href="https://pandas-profiling.ydata.ai/docs/master/">Documentation</a>
|
<a href="https://discord.com/invite/mw7xjJ7b7s">Discord</a>
|
<a href="https://stackoverflow.com/questions/tagged/pandas-profiling">Stack Overflow</a>
|
<a href="https://pandas-profiling.ydata.ai/docs/master/pages/reference/changelog.html#changelog">Latest changelog</a>
</p>
<p align="center">
Do you like this project? Show us your love and <a href="https://engage.ydata.ai">give feedback!</a>
</p>
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pandas-profiling-3.6.6.tar.gz
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2024-03-07
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pandas-profiling-3.6.6.tar.gz (216个子文件)
make.bat 978B
setup.cfg 38B
simplex.bootstrap.min.css 125KB
flatly.bootstrap.min.css 124KB
cosmo.bootstrap.min.css 123KB
united.bootstrap.min.css 120KB
bootstrap.min.css 118KB
bootstrap-theme.min.css 23KB
style.css 6KB
style.html 3KB
alerts.html 2KB
toggle_button.html 2KB
frequency_table.html 2KB
variable_info.html 2KB
select.html 2KB
table.html 1KB
frequency_table_small.html 1KB
navigation.html 1KB
tabs.html 1KB
report.html 962B
javascript.html 896B
batch_grid.html 769B
grid.html 712B
sections.html 533B
alert_high_correlation.html 424B
collapse.html 371B
diagram.html 353B
variable.html 239B
named_list.html 213B
dropdown.html 206B
sample.html 205B
footer.html 201B
alert_truncated.html 185B
alert_infinite.html 183B
alert_missing.html 180B
alert_type_date.html 180B
alert_zeros.html 167B
list.html 165B
alert_high_cardinality.html 154B
alert_unsupported.html 152B
alert_skewed.html 151B
alert_imbalance.html 148B
alert_duplicates.html 138B
alert_constant.html 129B
alert_uniform.html 106B
alert_constant_length.html 101B
alert_non_stationary.html 99B
alert_unique.html 99B
correlation_table.html 97B
alert_seasonal.html 93B
duplicate.html 80B
alert_empty.html 17B
MANIFEST.in 702B
jquery-1.12.4.min.js 95KB
bootstrap.min.js 36KB
script.js 941B
LICENSE 1KB
Makefile 759B
CONTRIBUTING.md 6KB
README.md 3KB
PKG-INFO 5KB
PKG-INFO 5KB
plot.py 28KB
profile_report.py 17KB
render_categorical.py 17KB
report.py 14KB
config.py 11KB
alerts.py 11KB
compare_reports.py 10KB
render_real.py 9KB
describe_categorical_pandas.py 9KB
render_timeseries.py 9KB
formatters.py 9KB
overview.py 9KB
dataframe.py 8KB
typeset.py 8KB
render_image.py 7KB
correlations_pandas.py 7KB
describe.py 6KB
describe_image_pandas.py 6KB
describe_numeric_pandas.py 5KB
describe_timeseries_pandas.py 5KB
summary_algorithms.py 5KB
serialize_report.py 5KB
expectations_report.py 4KB
render_path.py 4KB
render_count.py 4KB
render_boolean.py 4KB
correlations.py 4KB
render_url.py 4KB
correlations.py 4KB
flavours.py 4KB
frequency_table_utils.py 4KB
container.py 4KB
missing.py 3KB
render_date.py 3KB
missing.py 3KB
summary_pandas.py 3KB
expectation_algorithms.py 3KB
utils.py 3KB
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