小编Mar*_*ier的帖子

我想用 2 列参数来定位一个数据框：如果我paises_cpm = df.loc[a]正在工作，但如果我这样做，paises_cpm = df.loc[a,b]我会收到一个错误：IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match

import pandas as pd
import time


fecha = time.strftime(str((int(time.strftime("%d")))-1))

subastas = int(fecha) * 5000
impresiones = int(fecha) * 1000

df = pd.read_csv('Cliente_x_Pais.csv')
a = df['Subastas'] > subastas
b = df['Impresiones_exchange'] > impresiones


paises_cpm = df.loc[a,b]

paises_cpm.to_csv('paises_cpm.csv', index=False)

我需要在Impresiones_exchange值超过 10 的列中过滤我的 CSV 。当我这样做时，我收到一个新的 CSV ( ssss.csv)，只有一个列和一个 True 或 False 值。df["eCPM_a_pagar_a_medio"]正如我之前所说，我需要过滤大于 10 的值。

def group():
    df = pd.read_csv('Impresiones_VIDEO.csv', sep=',')
    df = df.groupby(["Cliente","Sitio","Country"], as_index=False)['Subastas', 'Impresiones_exchange', 'Importe_a_cobrar', 'Importe_a_pagar_a_medio'].sum()
    df["Fill_rate"] = ((df.Impresiones_exchange / df.Subastas )* 100).round(2)
    df["eCPM_a_cobrar"] = ((df.Importe_a_cobrar / df.Impresiones_exchange )* 1000).round(2)
    df["eCPM_a_pagar_a_medio"] = ((df.Importe_a_pagar_a_medio / df.Impresiones_exchange )* 1000).round(2)
    a = df['Impresiones_exchange'] > 10
    a.to_csv('ssss.csv')