The dataframe starts with an empty Index columns, and the default dtype for an empty Index is object dtype. And then inserting string labels for the actual columns into that Index object, preserves the object dtype. As long as we used object dtype for string column names, this was perfectly...
The following example takes the first DynamicFrame received, converts it to a DataFrame to apply the native filter method (keeping only records that have over 1000 votes), then converts it back to a DynamicFrame before returning it. def FilterHighVoteCounts (glueContext, dfc) -> DynamicFrame...
c.execute('''CREATE TABLE orders (order_id int, user_id int, item_name text)''') orders = pd.read_csv('orders.csv') # load to DataFrame orders.to_sql('orders', conn, if_exists='append', index = False) # write to sqlite table ...
Select records from rows 10 to 15 in the 'referrer' column. View Solution Lesson summary: In this lesson, you learned to: Create a pandas DataFrame with data Select columns in a DataFrame Select rows in a DataFrame Select both columns AND rows in a DataFrame In the next lesson, you'...
createDataFrame(data, columns) \ .repartition(2, "airport") airlineStats.write.format("pinot") \ .mode("append") \ .option("table", "airlineStats") \ .option("segmentNameFormat", "{table}_{partitionId:03}") \ .option("invertedIndexColumns", "airport") \ .option("noDictionaryColumns...