Yesterday I posted this: Correlation scatter plot using DataFrame matrix?
Because my English is not so good on the technical side, it was hard for me to explain what was
Based on the link in my comment, you can do
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.DataFrame({'ozone': [1.0, 0.3483416929936026, 0.6985414096486389, -0.6129507522144628],
'radiation': [0.3483416929936026, 1.0, 0.2940876437245132, -0.12736562398818144],
'temperature':[0.6985414096486389, 0.2940876437245132, 1.0, -0.49714591092004284],
'wind': [-0.6129507522144628, -0.12736562398818144, -0.49714591092004284, 1.0]})
g = pd.plotting.scatter_matrix(df, figsize=(10,10), marker = 'o', hist_kwds = {'bins': 10}, s = 60, alpha = 0.8)
plt.show()
I'm not sure why you don't want to use Seaborn, but you can do the same thing easily by doing
# Plot using Seaborn
sns.pairplot(df, diag_kws={'bins': 10})