from pyspark.sql.functions import regexp_replace df = df.withColumn('query', regexp_replace('query', ' ', '')) 上述示例对 dataframe 的 query 列的字符串做首尾空格去除操作,完整示例代码如下: from pyspark.sql import SparkSession from p
GeoSpatialColumn.unary_union, "geo_") negate = _wrap_deprecated(ir.NumericValue.negate) @deferrable def ifelse(condition: Any, true_expr: Any, false_expr: Any) -> ir.Value: """Construct a ternary conditional expression. @@ -2364,27 +2236,6 @@ def ifelse(condition: Any, true_expr:...
github-actionsbotcommentedJun 9, 2023 Diff frommypy_primer, showing the effect of this PR on open source code: pip (https://github.com/pypa/pip)+src/pip/_internal/pyproject.py:162: error: Need type annotation for "backend_path" [var-annotated]+src/pip/_internal/models/link.py:266: err...
different format (``{0: {"column name": "edited value"}}`` instead of ``{"0:1": "edited value"}``). You may need to adjust the code if your app uses ``st.experimental_data_editor`` in combination with ``st.session_state``. Parameters --- data : pandas.DataFrame, pandas.Ser...
In this example, we load images from an AWS S3 bucket's URLs and resize each image in the dataframe:import daft # Load a dataframe from filepaths in an S3 bucket df = daft.from_glob_path("s3://daft-public-data/laion-sample-images/*") # 1. Download column of image URLs as a ...