pivot_table()提供一个数据透视表,index是通过将某列设置为索引查看结果,values可以显示出主要的列,aggfunc可以包含很多函数,通过np.sum计算数的总和,columns可以定义一个或多个列。 import pandas as pd import numpy as np pd.options.display.max_columns = 999 orders = pd.read_excel('E:/pandas/output.xl...
``numpy.number``. To exclude object columns submit the data type ``numpy.object``. Strings can also be used in the style of ``select_dtypes`` (e.g. ``df.describe(include=['O'])``). To exclude pandas categorical columns, use ``'category'`` - None (default) : The result will ...
columns=['a','b','d']) df.set_index('b',inplace=True) df.index.name = None print(df)...
columns Out[14]: Index(['color', 'director_name', 'num_critic_for_reviews', 'duration', 'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name', 'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name', 'movie_title', 'num_voted_users', 'cast_total_face...
publicMicrosoft.Spark.Sql.DataFrameSelect(paramsMicrosoft.Spark.Sql.Column[] columns); 参数 columns Column[] 列表达式 返回 DataFrame DataFrame 对象 适用于 Microsoft.Spark latest 产品版本 Microsoft.Sparklatest Select(String, String[]) 选择一组列。 这是 Select () 的变体,只能选择使用列名的现有列 (即...
3:'hu', 4:'lee', 5:'liu'},'id': range(1, 6)}>>> df = pd.DataFrame(data,columns=col,index=id)>>>df id name sex age1 1 chen 1 20 2 2 wang 0 18 3 3 hu 1 21 4 4 lee 1 20 5 5 liu 0 18 >>> df = df.set_index("id")>>> df.set_index("id") ...
columns：索引或类似数组 用于生成结果帧时使用的列标签。如果数据没有列标签，则默认为RangeIndex（0, ...
pivot(index="foo", columns="bar", values="N", aggregate_function="first") .lazy() ) out = q.collect() print(out) Melts 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import polars as pl df = pl.DataFrame( { "A": ["a", "b", "a"], "B": [1, 3, 5], "C": [...
Creates a data frame by converting JSON data. enumJSONType Represents the value types in a JSON file. structJSONReadingOptions A set of JSON file-reading options. Creating a Data Frame from a CSV init(contentsOfCSVFile:URL,columns: [String]?,rows:Range<Int>?,types: [String:CSVType],optio...
DataFrame.select(crit[, axis])Return data corresponding to axis labels matching criteria DataFrame.set_index(keys[, drop, append, …])Set the DataFrame index (row labels) using one or more existing columns. DataFrame.tail([n])返回最后几行 ...