Merk
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Calculates the correlation of two columns of a DataFrame as a double value. Currently only supports the Pearson Correlation Coefficient. DataFrame.corr and DataFrameStatFunctions.corr are aliases of each other.
Syntax
corr(col1, col2, method=None)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
str | The name of the first column. |
col2 |
str | The name of the second column. |
method |
str, optional | The correlation method. Currently only supports "pearson". |
Returns
float
Examples
df = spark.createDataFrame([(1, 12), (10, 1), (19, 8)], ["c1", "c2"])
df.stat.corr("c1", "c2")
# -0.3592106040535498
df = spark.createDataFrame([(11, 12), (10, 11), (9, 10)], ["small", "bigger"])
df.stat.corr("small", "bigger")
# 1.0