PythonDataScienceHandbook

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‘ from sklearn.gaussian_process import GaussianProcess’ error

6

ImportError: cannot import name 'gaussianprocess' need change to 'from sklearn import gaussian_process'

KevinGuo-bjut

how to read asc file in python

2

hello sir I have couple of asc files in each file there is a some meteorological data (temperature,humidity) previous, I worked with netcdf ,grib data now my data extension is...

haritha1022

When are the codes of python data science handbook 2rd version available?

3

Dear Mr. Vanderplas, I have noted your book entitled as 'Python Data Science Handbook 2nd edition' was online. I am interested in when the jupter codes of this book are...

yangsong2020

Gaussianmixture

1

This allows notebook to run on scikit-learn 0.18+. The calling convention has changed since that release, with name `GaussianMixture` instead of old `GMM`. Parameter `covariances_` instead of `covars_`, `random_state` can...

artkuo

Fancy Indexing Bins example graph error

1

pg 84 In[24: 'plot the results plt.plot(bins, counts, linestyle='steps');' This produces an error as lifestyle is incorrect. it should (or at least this works) be 'drawstyle="steps"': plt.plot(bins, counts, drawstyle="steps");

JTN-Kendal

Graphing the Binning Example in 02.07

2

In 02.07, graphing the histogram using [plt.plot(bins, counts, linestyle='steps')] pops up an error. It says that 'steps' is not a valid value for linestyles.

andrewxu99

Bumps [numpy](https://github.com/numpy/numpy) from 1.11.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

This change resolves #334, changing sciece to science

Siddharth114

AttributeError in Histograms, KDE, and densities

2

AttributeError: 'Rectangle' object has no property 'normed'. I removed normed=True from plt.hist(data[col], normed=True, alpha=0.5)

hamza3laa

This line at 04.14-Visualization-With-Seaborn : > If we pass the full two-dimensional dataset to kdeplot, we will get a two-dimensional visualization of the data: > `sns.kdeplot(data)` Gives an error: >...

ivlmag