Pandas 如何将多列乘以一个列 在本文中,我们将介绍如何使用Pandas将多列数值数据乘以同一列的数据。这个功能在数据分析中经常会用到,例如计算每个交易额的占比、计算营收额等。 为了说明,我们将使用一个名为“sales”的数据集(以CSV格式提供),其中包含三列数值数据:销售数量(quantity)、销售价格(price)和销售总额(sa
FutureWarning: In a future version of pandas, parsing datetimeswithmixed time zones willraisean error unless `utc=True`. Please specify `utc=True` to optinto the new behaviourandsilence this warning. To create a `Series`withmixed offsetsand`object` dtype, please use `apply`and`datetime.datet...
multiply(other[, axis, level, fill_value])对dataframe和其他对象逐元素进行乘法运算。ne(other[, ax...
mul(other[, axis, level, fill_value])对dataframe和其他对象逐元素进行乘法运算。multiply(other[, a...
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a1b2c3d4Name:0, dtype: int64 使用整数列表。 >>>df.iloc[[0]] a b c d01234>>>type(df.iloc[[0]]) <class'pandas.core.frame.DataFrame'> >>>df.iloc[[0,1]] a b c d012341100200300400 使用切片对象。 >>>df.iloc[:3] a b c d01234110020030040021000200030004000 ...
In some cases, you might want to sum the values in a column if at least one condition is met. You can do this with the pipe|operator. The following example sums the values in theBcolumn where: The corresponding value in theAcolumn is greater than9. ...
import pandas as pd df = pd.DataFrame({ 'a': [1, 2, 3], 'b': [10, 20, 30] }) def multiply_column(df, column, factor): df[column] = df[column] * factor return df result = df.pipe(multiply_column, column='b', factor=10) print(result) 3)链式调用多个函数 import pandas ...
', 'le', 'loc', 'lt', 'mad', 'map', 'mask', 'max', 'mean', 'median', 'memory_usage', 'min', 'mod', 'mode', 'mul', 'multiply', 'name', 'nbytes', 'ndim', 'ne', 'nlargest', 'notna', 'notnull', 'nsmallest', 'nunique', 'pct_change', 'pipe', 'plot', 'pop...
importpandasaspd# 创建一个简单的 DataFramedf=pd.DataFrame({'A':range(1,6),'B':['pandasdataframe.com'for_inrange(5)]})# 定义一个简单的函数,将数字乘以 2defmultiply_by_two(x):returnx*2# 使用 apply 函数df['A']=df['A'].apply(multiply_by_two)print(df) ...