import polars as pl pl_data = pl.read_csv(data_file, has_header=False, new_columns=col_list) 运行apply函数,记录耗时: pl_data = pl_data.select([ pl.col(col).apply(lambda s: apply_md5(s)) for col in pl_data.columns ]) 查看运行结果: 3. Modin测试 Modin特点: 使用DataFrame作为基本...
In [31]: df[["foo", "qux"]].columns.to_numpy() Out[31]: array([('foo', 'one'), ('foo', 'two'), ('qux', 'one'), ('qux', 'two')], dtype=object) # for a specific level In [32]: df[["foo", "qux"]].columns.get_level_values(0) Out[32]: Index(['foo', 'f...
In [35]: columns = pd.MultiIndex.from_tuples( ...: [ ...: ("A", "cat", "long"), ...: ("B", "cat", "long"), ...: ("A", "dog", "short"), ...: ("B", "dog", "short"), ...: ], ...: names=["exp", "animal", "hair_length"], ...: ) ...: In ...
DataFrame 一个表格型的数据结构,既有行标签(index),又有列标签(columns),它也被称异构数据表,所谓异构,指的是表格中每列的数据类型可以不同,比如可以是字符串、整型或者浮点型等。其结构图示意图,如下所示: 3.2.1创建DataFrame对象 importpandas as pd pd.DataFrame( data, index, columns, dtype, copy)#参...
to_excel DataFrame.to_excel(excel_writer,sheet_name='Sheet1',na_rep='',float_format=None,columns=None,header=True,index=True,index_label=None,startrow=0,startcol=0,engine=None,merge_cells=True,encoding=None,inf_rep='inf',verbose=True,freeze_panes=None)excel_writer 字符串或Excelwrite对象,...
unless it is passed, in which case the values will beselected (see below). Any None objects will be dropped silently unlessthey are all None in which case a ValueError will be raised.axis : {0/'index', 1/'columns'}, default 0The axis to concatenate along.join : {'inner', 'outer'...
更简单的方式就是重写DataFrame的columns属性：In [15]: df.columns = ['col_one', 'col_two']...
from typing import Iterator, Tuple import pandas as pd from pyspark.sql.functions import col, pandas_udf, struct pdf = pd.DataFrame([1, 2, 3], columns=["x"]) df = spark.createDataFrame(pdf) @pandas_udf("long") def multiply_two_cols( iterator: Iterator[Tuple[pd.Series, pd.Series]]...
columns Returns the column labels of the DataFrame combine() Compare the values in two DataFrames, and let a function decide which values to keep combine_first() Compare two DataFrames, and if the first DataFrame has a NULL value, it will be filled with the respective value from the second...
How can I split a column of tuples in a Pandas dataframe? Binning a column with pandas Pandas: Conditional creation of a series/dataframe column What is the difference between size and count in pandas? float64 with pandas to_csv Iterating through columns and subtracting with the Last C...