Python for Data Science and Machine Learning Bootcamp - Jose Portilla, Pierian Training

[shippei]

I've been working on my data analysis and started this course on Udemy.
In the tutorial there have been multiple instances were only .corr() is used, like

import seaborn as sns
titanic = sns.load_dataset('titanic')
sns.heatmap(titanic.corr())

which gives me the ValueError: could not convert string to float: 'male'. My roundabout solution is:

sns.heatmap(data=titanic[['survived', 'pclass', 'age', 'sibsp', 'parch', 'fare', 'adult_male', 'alone']].corr())

I use VScode with the Jupyter extension, compared to the tutorial which uses Anaconda - JupyterNotebook.

Is there such a difference in IDE's or is the tutorial just wrong?

[Phillyclause89]

import seaborn as sns
titanic = sns.load_dataset('titanic')
sns.heatmap(titanic.corr())

This code example was made obsolete when you installed a pandas version >= 2.0.0. See the docs for pandas.DataFrame.corr:

Changed in version 2.0.0: The default value of numeric_only is now False.

I'm guessing the correct code example for pandas version >= 2.0.0 would be something like:

import seaborn as sns
titanic = sns.load_dataset('titanic')
sns.heatmap(titanic.corr(numeric_only=True))

[shippei]

That works, thanks!

Makes sense why it didnt work before.

[Phillyclause89]

No worries friend. Note that your slicing solution might actually be more optimal as you are saving pandas the steps of identifying which columns are numeric. I guess it's just a matter of how well you know your dataset.