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| author | hyukjinkwon <gurwls223@gmail.com> | 2016-07-06 10:45:51 -0700 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2016-07-06 10:45:51 -0700 |
| commit | 4e14199ff740ea186eb2cec2e5cf901b58c5f90e (patch) | |
| tree | cfd7850c821e764c2243615a8fd8642d73323da1 /python/pyspark/mllib | |
| parent | b1310425b30cbd711e4834d65a0accb3c5a8403a (diff) | |
| download | spark-4e14199ff740ea186eb2cec2e5cf901b58c5f90e.tar.gz spark-4e14199ff740ea186eb2cec2e5cf901b58c5f90e.tar.bz2 spark-4e14199ff740ea186eb2cec2e5cf901b58c5f90e.zip | |
[MINOR][PYSPARK][DOC] Fix wrongly formatted examples in PySpark documentation
## What changes were proposed in this pull request?
This PR fixes wrongly formatted examples in PySpark documentation as below:
- **`SparkSession`**
- **Before**
- **After**
- **`Builder`**
- **Before**
- **After**
This PR also fixes several similar instances across the documentation in `sql` PySpark module.
## How was this patch tested?
N/A
Author: hyukjinkwon <gurwls223@gmail.com>
Closes #14063 from HyukjinKwon/minor-pyspark-builder.
Diffstat (limited to 'python/pyspark/mllib')
| -rw-r--r-- | python/pyspark/mllib/clustering.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/python/pyspark/mllib/clustering.py b/python/pyspark/mllib/clustering.py index 93a0b64569..c38c543972 100644 --- a/python/pyspark/mllib/clustering.py +++ b/python/pyspark/mllib/clustering.py @@ -571,14 +571,14 @@ class PowerIterationClusteringModel(JavaModelWrapper, JavaSaveable, JavaLoader): >>> import math >>> def genCircle(r, n): - ... points = [] - ... for i in range(0, n): - ... theta = 2.0 * math.pi * i / n - ... points.append((r * math.cos(theta), r * math.sin(theta))) - ... return points + ... points = [] + ... for i in range(0, n): + ... theta = 2.0 * math.pi * i / n + ... points.append((r * math.cos(theta), r * math.sin(theta))) + ... return points >>> def sim(x, y): - ... dist2 = (x[0] - y[0]) * (x[0] - y[0]) + (x[1] - y[1]) * (x[1] - y[1]) - ... return math.exp(-dist2 / 2.0) + ... dist2 = (x[0] - y[0]) * (x[0] - y[0]) + (x[1] - y[1]) * (x[1] - y[1]) + ... return math.exp(-dist2 / 2.0) >>> r1 = 1.0 >>> n1 = 10 >>> r2 = 4.0 |