how to specify data on pearson correlation heatmap?

I have a pearson correlation heat map coded, but its showing data from my dataframe which i dont need.

is there a way to specify which columns i’d like to include?

thanks in advance

sb.heatmap(df['POPDEN', 'RoadsArea', 'MedianIncome', 'MedianPrice', 'PropertyCount', 'AvPTAI2015', 'PTAL'].corr(), annot=True, fmt='.2f')

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-54-832fc3c86e3e> in <module>
----> 1 sb.heatmap(df['POPDEN', 'RoadsArea', 'MedianIncome', 'MedianPrice', 'PropertyCount', 'AvPTAI2015', 'PTAL'].corr(), annot=True, fmt='.2f')

TypeError: list indices must be integers or slices, not tuple

df.cov().round(3)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-79-34a86e96b161> in <module>
----> 1 df.cov().round(3)

TypeError: cov() missing 1 required positional argument: 'self'

Answer

You can filter the dataframe before calculating correlation

sns.heatmap(df[['POPDEN', 'RoadsArea', 'MedianIncome', 'MedianPrice', 'PropertyCount', 'AvPTAI2015', 'PTAL']].corr(), annot=True, fmt='.2f')

Advertisement

Answer