pythondataframepysparktranspose
How do I transpose a pyspark dataframe?
| Parameter | Value | Data_type |
|---|---|---|
| window | 1024 | Data1 |
| noverlap | 256 | Data1 |
| ylim_min | 0 | Data1 |
| ylim_max | 500 | Data1 |
| mag_min | 0 | Data1 |
| max_max | 30 | Data1 |
| window | 2500 | Data2 |
| noverlap | 64 | Data2 |
| ylim_min | 0 | Data2 |
| ylim_max | 50 | Data2 |
| mag_min | 0 | Data2 |
| mag_max | 2500 | Data2 |
How do I transpose this pyspark data frame such as:
Solution
It is almost same as pandas dataframe
Let the dataframe is df
pivotdf= df.groupBy("Data_Type").pivot("Parameter").sum("Value")
pivotdf.show()
Here we are pivoting the column Parameter by grouping the column Data_Type
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