Group the data by different categories of an
ribute, displaying the average value of numerical
ributes with the same category.
Group the data by different categories of multiple
ributes, displaying the average value of numerical
ributes with the same category.
eate Pivot tables for better representation of data
sed on parameters
eate a heatmap image using a PsuedoColor plot (or
olor) using the pivot table as data.
lculate the Pearson Coefficient and p-value of a pair
attributes
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a.
df_group =
df_group.groupby(['attribute_1'],as_index=False).mean()
b.
df_group = df_group.groupby(['attribute_1',
'attribute_2'],as_index=False).mean()
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grouped_pivot =
df_group.pivot(index='attribute_1',columns='attribute_2')
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from matlplotlib import pyplot as plt
plt.pcolor(grouped_pivot, cmap='RdBu')
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From scipy import stats
pearson_coef,p_value=stats.pearsonr(df['attribute_1'],
df['attribute_2'])
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