Pandas Exercises Solution

[devpatel2103]

In[24]

This does not work anymore car_sales.groupby(["Make"]).mean()

The mean now needs a condition in order for it to work car_sales.groupby(["Make"]).mean(numeric_only=True)

[MikeRatcliffe]

I can confirm this.

Also, in the Describing Data with Pandas section:

1. You need to use car_sales.mean(numeric_only=True) as numeric_only defaults to False.
2. car_sales["Price"] = car_sales["Price"].str.replace('[\$\,\.]', '').astype(int) now throws Invalid escape sequence '\$. You need to use car_sales["Price"] = car_sales["Price"].str.replace('[$,]', '', regex=True).astype('float') instead.

[vonstegen]

I just wanted to add to this as well because I had similar problems starting in Section 6 - Lesson 53 and Lesson 55 with using car_sales.mean() and car_sales.groupby(["Make"]).mean().

I just wanted to post the panda link to why this "TypeError" occurs for those who come across this problem.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.mean.html

[rezanaquib]

Hi everyone, I have tried this code, but it didn't work in my jupyter. Anyone know why and how to solve this?

This is my code: df = pd.read_csv("heart-disease.csv")

And this is the error explaination: AttributeError Traceback (most recent call last) Cell In[10], line 1 ----> 1 df = pd.read_csv("heart-disease.csv")

AttributeError: module 'pandas' has no attribute 'read_csv'

[kRiShNa-429407]

Re import pandas correctly And check have you made any mistakes