DataFrame

Gk — Fri, 03 Mar 2023 11:18:10 GMT

How can we create empty dataframe in databricks and how many ways we can create dataframe?

Re: DataFrame

Anonymous — Thu, 09 Mar 2023 03:56:09 GMT

@Govardhana Reddy :

Method 1:

from pyspark.sql import SparkSession
 
spark = SparkSession.builder.appName("MyApp").getOrCreate()
 
# Create an empty DataFrame with a specified schema
empty_df = spark.createDataFrame([], schema=["column1", "column2", "column3"])
empty_df.show()

Method 2: From dictionary

data = [
  {"name": "Alice", "age": 25},
  {"name": "Bob", "age": 30},
  {"name": "Charlie", "age": 35}
]
df = spark.createDataFrame(data)
df.show()

Method 3: From list of tuples

data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
df = spark.createDataFrame(data, schema=["name", "age"])
df.show()

Method 4: From Pandas dataframe

import pandas as pd
 
pdf = pd.DataFrame({
  "name": ["Alice", "Bob", "Charlie"],
  "age": [25, 30, 35]
})
df = spark.createDataFrame(pdf)
df.show()

Method 5: from cvs file

df = spark.read.csv("path/to/file.csv", header=True, inferSchema=True)
df.show()

Method 6: From parquet file

df = spark.read.parquet("path/to/file.parquet")
df.show()

Re: DataFrame

Vartika — Fri, 31 Mar 2023 07:09:26 GMT

Hi @Govardhana Reddy

Hope everything is going great.

Does @Suteja Kanuri's answer help? If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us so we can help you.

Cheers!

topic Re: DataFrame in Data Engineering

DataFrame

Re: DataFrame

Re: DataFrame