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?

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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]

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

[lulu43366]

Yes, excellent your answer deanhystad and snippsat.

To eliminate just one column,

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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)