create spark dataframe from pandas

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1spark.createDataFrame(["10","11","13"], "string").toDF("age")
2

1import numpy as np
2import pandas as pd
3
4# Enable Arrow-based columnar data transfers
5spark.conf.set("spark.sql.execution.arrow.enabled", "true")
6
7# Generate a pandas DataFrame
8pdf = pd.DataFrame(np.random.rand(100, 3))
9
10# Create a Spark DataFrame from a pandas DataFrame using Arrow
11df = spark.createDataFrame(pdf)

1pandas_df = some_df.toPandas()

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