dropDuplicates(['name', 'height']) # Replace empty strings with null (leave out subset keyword arg to replace in all columns) df = df.replace({"": None}, subset=["name"]) # Convert Python/PySpark/NumPy NaN oper
以下代码片段是一个很好的例子: #Register the DataFrame as a SQL temporary viewdf.CreateOrReplaceTempView("people") sqlDF = spark.sql("SELECT * FROM people") sqlDF.show()#+---+---+#| age| name|#+---+---+#+null|Jackson|#| 30| Martin|#| 19| Melvin|#+---|---| 您需要从某个...
To replace strings with other values, use the replace method. In the example below, any empty address strings are replaced with the word UNKNOWN:Python Копирај df_customer_phone_filled = df_customer.na.replace([""], ["UNKNOWN"], subset=["c_phone"]) Append rows...
16.instr 返回指定字符串的起始位置，以1开始的索引，如果找不到就返回0 17.isnan，isnull 检测是否...
.createOrReplaceTempView("tab2") spark.sql( s"""create table tab ( | id1 int, | id2 bigint, | id3 decimal, | name string, | isMan boolean, | birthday timestamp |) |stored as parquet; |""".stripMargin) spark.sql("insert overwrite table tab select * from tab2") ...
# 当字符串中包含null值时,onehot编码会报错 for col in string_cols: df5 = df5.na.fill(col, 'EMPTY') df5 = df5.na.replace('', 'EMPTY',col) 判断每一个分类列,其分类是否大于25 方便之后进行管道处理,分类大于25的只进行stringindex转换,小于25的进行onehot变换 If any column has > 25 catego...
Creates a global temporary view with this DataFrame. 使用此 DataFrame 创建一个全局临时视图。 createOrReplaceGlobalTempView(name) Creates or replaces a global temporary view using the given name. 使用给定名称创建或替换全局临时视图。 createOrReplaceTempView(name) Creates or replaces a local temporary ...
('delay IS NULL').count()# Remove records with missing 'delay' valuesflights_valid_delay=flights_drop_column.filter('delay IS NOT NULL')# Remove records with missing values in any column and get the number of remaining rowsflights_none_missing=flights_valid_delay.dropna()print(flights_none_...
You should always make sure your code works properly with null input in the test suite. Let's look at a helper function from thequinnlibrary that converts all the whitespace in a string to single spaces. def single_space(col): return F.trim(F.regexp_replace(col, " +", " ")) ...
Replace a nested field by its SHA-2 hash value. By default the number of bits in the output hash value will be 256 but a different value can be set. from nestedfunctions.functions.hash import hash_field hashed_df = hash_field(df, "data.city.addresses.id", num_bits=256) Nullify Makin...