From 67787d18d924b16cdf8ba95d6160b352d1658680 Mon Sep 17 00:00:00 2001 From: Altynbek Isabekov Date: Fri, 29 Mar 2024 08:48:53 +0100 Subject: [PATCH] Rename printschema() to print_schema(). --- pyspark_cookbook.org | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/pyspark_cookbook.org b/pyspark_cookbook.org index aff10c3..3554597 100644 --- a/pyspark_cookbook.org +++ b/pyspark_cookbook.org @@ -33,7 +33,7 @@ sys.stdout = self._stdout #+end_src -#+name: printschema +#+name: print_schema #+begin_src python :var df="df" :exports none :results value raw :session none return f''' <> @@ -1050,7 +1050,7 @@ Filter: ~F.col("Product").isin(["Laptop", "Mouse"])~ return Counter(x).most_common(1)[0][0] dft = df.withColumn("mode", udf_mode("A")) - <>dft.printSchema() + <>dft.printSchema() dft.show() #+END_SRC @@ -1092,7 +1092,7 @@ root df = df.withColumn("diff", diff_of_two_consecutive_elements(F.col("values"))) df.show() - <>df.printSchema() + <>df.printSchema() #+END_SRC #+RESULTS: @@ -1979,7 +1979,7 @@ Full join on ~df_a['value'] == df_b['updated']~ with dropped ~df_b['id']~ column ) print("Dataframe with key -> value mapping") dft.show(truncate=False) - <>dft.printSchema() + <>dft.printSchema() #+END_SRC #+RESULTS: @@ -2037,7 +2037,7 @@ root .withColumn('key_value', map_array('key_value'))) print("Dataframe with keys and values:") dft.show(truncate=False) - <>dft.printSchema() + <>dft.printSchema() #+END_SRC #+RESULTS: