The Wayback Machine - http://web.archive.org/web/20200825205528/https://github.com/topics/pandas
Skip to content
#

pandas

Star

Here are 7,444 public repositories matching this topic...

Language: All
Filter by language
All 7,444 Jupyter Notebook 4,116 Python 2,381 HTML 463 JavaScript 84 CSS 36 Shell 19 Dockerfile 15 Java 9 TeX 8 C++ 7
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

pandas-dev / pandas

Star
Find more good first issues →

donnemartin / data-science-ipython-notebooks

Star

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Jul 24, 2020
  • Python

dask / dask

Star
Open

DataFrame has incorrect dtype after .compute() when group by categorical column

2
eugeneh101
eugeneh101 commented Apr 24, 2020

If you join Dask DataFrame on a categorical column, then the outputted Dask DataFrame column is still category dtype. However, the moment you .compute() the outputted Dask DataFrame, then the column is the wrong dtype, not categorical.

Tested on Dask 2.14.0 and Pandas 1.0.3
This example where the category type looks like a float, so after .compute(), the dtype is float.

import dask.d
Read more
dataframe good first issue
Find more good first issues →

rapidsai / cudf

Star
Open

[BUG] reinterpret_cast is misused in many places in cuIO

1
vuule
vuule commented Aug 18, 2020

There are (at least) two ways in which the reinterpret_cast is misused:

  1. Used instead of static_cast:
    https://github.com/rapidsai/cudf/blob/f7fbc1160b17b969db2708e0cf6033d3db9fc1cf/cpp/src/io/avro/avro_gpu.cu#L95
    static cast should be used to cast from void*.
  2. The use causes undefined behavior:
    https://github.com/rapidsai/cudf/blob/f7fbc1160b17b969db2708e0cf6033d3db9fc1cf/cpp/src/io
Read more
bug cuIO good first issue tech debt
Find more good first issues →

TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Star

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

python aws machine-learning lua deep-learning neural-network tensorflow scikit-learn keras ipython-notebook torch pandas pytorch kaggle artificial-intelligence matplotlib tensorflow-tutorials convolutional-neural-networks python-data capsule-network
  • Updated Aug 25, 2020
  • Python

tangyudi / Ai-Learn

Star

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

python nlp data-science machine-learning data-mining algorithm caffe deep-learning tensorflow numpy cv keras mathematics pandas pytorch seaborn artificial-intelligence data-analysis matplotlib tensorflow2
  • Updated Feb 6, 2020
xarray

pydata / xarray

Star
Open

to_dataframe: no valid index for a 0-dimensional object

3
ghislainp
ghislainp commented Jul 15, 2020

What happened:
xr.DataArray([1], coords=[('onecoord', [2])]).sel(onecoord=2).to_dataframe(name='name') raise an exception ValueError: no valid index for a 0-dimensional object

What you expected to happen:

the same behavior as: xr.DataArray([1], coords=[('onecoord', [2])]).to_dataframe(name='name')

Anything else we need to know?:

I see that the array after the select

Read more
error reporting good first issue
Find more good first issues →

dipanjanS / practical-machine-learning-with-python

Star

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python machine-learning natural-language-processing computer-vision deep-learning jupyter notebook clustering tensorflow scikit-learn keras jupyter-notebook pandas spacy nltk classification convolutional-neural-networks prophet statsmodels time-series-analysis
  • Updated Mar 11, 2019
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the pandas topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pandas topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.