Case Study (Wine Quality) : Renaming Column Name

 - Renaming columns -> .rename(columns={'old_name':'new_name'}, inplace=True)
In [38]:
import pandas as pd
import numpy as np

df_red = pd.read_csv('red.csv')

df_white = pd.read_csv('white.csv')

Renaming Column name

-Following examples are for learning how to rename column names
-You do not need to rename column names of our datasets

Example 1 : Red Wine Dataset -> Replcaing fixed_acidity with fixedacidity

In [41]:
df_red.rename(columns={'fixed_acidity':'fixedacidity'}, inplace=True)

df_red.head()
Out[41]:
fixedacidity volatile_acidity citric_acid residual_sugar chlorides free_sulfur_dioxide total_sulfur_dioxide density ph sulphates alcohol quality
0 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5
1 7.8 0.88 0.00 2.6 0.098 25.0 67.0 0.9968 3.20 0.68 9.8 5
2 7.8 0.76 0.04 2.3 0.092 15.0 54.0 0.9970 3.26 0.65 9.8 5
3 11.2 0.28 0.56 1.9 0.075 17.0 60.0 0.9980 3.16 0.58 9.8 6
4 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5

Example 2 : White Wine Dataset -> Replcaing fixed_acidity with fixedacidity

In [42]:
df_white.rename(columns={'fixed_acidity':'fixedacidity'}, inplace=True)

df_white.head()
Out[42]:
fixedacidity volatile_acidity citric_acid residual_sugar chlorides free_sulfur_dioxide total_sulfur_dioxide density ph sulphates alcohol quality
0 7.0 0.27 0.36 20.7 0.045 45.0 170.0 1.0010 3.00 0.45 8.8 6
1 6.3 0.30 0.34 1.6 0.049 14.0 132.0 0.9940 3.30 0.49 9.5 6
2 8.1 0.28 0.40 6.9 0.050 30.0 97.0 0.9951 3.26 0.44 10.1 6
3 7.2 0.23 0.32 8.5 0.058 47.0 186.0 0.9956 3.19 0.40 9.9 6
4 7.2 0.23 0.32 8.5 0.058 47.0 186.0 0.9956 3.19 0.40 9.9 6