In PySpark, we can drop one or more columns from a DataFrame using the .drop("column_name") method for a single column or .drop(["column1", "column2", ...]) for multiple columns.
例如:How to automatically drop constant columns in pyspark?但我发现,没有一个答案解决了这个问题,即countDistinct()不将空值视为不同的值。因此,只有两个结果null和none NULL值的列也将被删除。一个丑陋的解决方案是将spark dataframe中的所有null值替换为您确信在dataframe中其他地方不存在的值。但就像我说的那...
In PySpark, we can drop one or more columns from a DataFrame using the .drop("column_name") method for a single column or .drop(["column1", "column2", ...]) for multiple columns. Maria Eugenia Inzaugarat 6 min tutorial Lowercase in Python Tutorial Learn to convert spreadsheet table...
sapplyfunction is an alternative offor loop. which built-in or user-defined function on each column of data frame.sapply(df, function(x) mean(is.na(x)))returns percentage of missing values in each column of a dataframe. ### drop columns on a missing value my_basket = my_basket[,!sap...
PySpark DataFrame provides a drop() method to drop a single column/field or multiple columns from a DataFrame/Dataset. In this article, I will explain
1 35days Pyspark 23000 1500 2 40days Pandas 25000 2000 Use DataFrame.columns.duplicated() to Drop Duplicate Columns lastly, try the below approach to dop/remove duplicate columns from pandas DataFrame. # Use DataFrame.columns.duplicated()
Python pyspark DataFrame.drop用法及代码示例本文简要介绍 pyspark.pandas.DataFrame.drop 的用法。 用法: DataFrame.drop(labels: Union[Any, Tuple[Any, …], List[Union[Any, Tuple[Any, …]]], None] = None, axis: Union[int, str] = 1, columns: Union[Any, Tuple[Any, …], List[Union[Any, ...
PySpark DataFrame 的dropDuplicates(~)返回删除了重复行的新 DataFrame。我们可以选择指定列来检查重复项。 注意 dropDuplicates(~)是drop_duplicates(~)的别名。 参数 1.subset|string或list或string|optional 用于检查重复项的列。默认情况下,将检查所有列。
'] color_df=pd.DataFrame(colors,columns=['color']) color_df['length']=color_df['color'].apply(len) color_df...# ['color', 'length'] # 查看行数,和pandas不一样 color_df...
DataFrame.distinct() 2.2 distinct Example Let’s see an example # Using distinct() distinctDF = df.distinct() distinctDF.show(truncate=False) 3. PySpark dropDuplicates pyspark.sql.DataFrame.dropDuplicates()method is used to drop the duplicate rows from the single or multiple columns. It returns...