How to remove a column or two columns in a correlation heatmap?

[lulu43366]

Good morning to the community!
I would like to remove the column Dynamic (average) or Dynamic (average) and T- 10-6.
How to do this?

from pandas import read_csv
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import numpy.ma as ma
import pandas as pd

dataset = pd.read_csv('Santé3.csv', sep= ';', encoding='latin-1', index_col=0)
dataset
dataset.corr
plt.figure(figsize=(200,30))
plt.subplots(figsize=(15,8))
sns.heatmap(dataset.corr(), cmap='coolwarm', vmin=-1, vmax=1, annot=True)

Thank you in advance for your answer.

[deanhystad]

Have you tried del dataset['column'] or dataset.pop('column')?

[snippsat]

dataset = dataset.drop(columns=['Dynamic (average)', 'T- 10-6'])

[lulu43366]

Yes, excellent your answer deanhystad and snippsat.

To eliminate just one column,

dataset = pd.read_csv('Santé3.csv', sep= ';', encoding='latin-1', index_col=0)
dataset.drop(['Dynamic (average)'], axis=1, inplace=True)
corr = dataset.corr()
mask = np.triu(np.ones_like(corr, dtype=bool))
plt.subplots(figsize=(15,8))
sns.heatmap(corr, cmap='coolwarm', vmin=-1, vmax=1, annot=True, mask=mask)