python - 在 for 循环中实例化 python dataframe

import pandas as pd input_csv_file = "./CSV/Officers_and_Shareholders.csv" df = pd.read_csv(input_csv_file, skiprows=10, on_bad_lines='skip') df.fillna('', inplace=True) # df.drop([0, 3], inplace=True) df.columns = ['Nama', 'Jabatan', 'Alamat', 'Klasifikasi Saham', 'Jumlah Lembar Saham', 'Total'] # print(df.shape) # print(df.columns) # print(df.iloc[:53]) # shareholders = df.iloc[24:42] # print(shareholders) # officers = df.iloc[0:23] # print(officers) dataframe = df.query("Total.ne('-')") def get_shareholder_by_row_index(): for column in df.columns: if object(df.iloc[column][:53]) == dataframe: shareholders = df.iloc[24:42] print(shareholders) # elif object(df[:53][column]) != dataframe: # officers = df.iloc[0:23] # print(officers)

24 PT CTCORP INFRASTRUKTUR D INDONESIA, ... Rp. 3.200.000.000 25 Nomor SK :- I ... 26 JalanKaptenPierreTendeanKavling12-14A ... 27 PT INTRERPORT PATIMBAN AGUNG, ... Rp. 2.900.000.000 28 Nomor SK :- ... 29 ... 30 ... 31 ... 32 ... 33 ... 34 PT PATIMBAN MAJU BERSAMA, ... Rp. 2.900.000.000 35 Nomor SK :AHU- ... 36 0061318.AH.01.01.TAHUN 2021 ... 37 Tanggal SK :30 September 2021 ... 38 ... 39 ... 40 PT TERMINAL PETIKEMAS ... Rp. 1.000.000.000 41 SURABAYA, ... 42 Nomor SK :- ...

Nama ... Total 1 NIK: 3171060201830005 ... 2 NPWP: 246383541071000 ... 3 TTL: Jakarta, 02 Januari 1983 ... 5 NIK: 1271121011700003 ... 6 NPWP: 070970173112000 ... 7 TTL: Bogor, 10 November 1970 ... 8 ARLAN SEPTIA ANANDA ... 9 RASAM, ... 10 NIK: 3174051209620003 ... 11 NPWP: 080878200013000 ... 12 TTL: Jakarta, 12 September ... 13 1962 ... 15 NIK: 3171011605660004 ... 16 NPWP: 070141650093000 ... 17 TTL: Jakarta, 16 Mei 1966 ... 18 FUAD RIZAL, ... 21 PURNOMO, UTAMA RASRINIK: 3578032408610001 ... 22 NPWP: 097468813615000 ... 23 TTL: SLEMAN, 24 Agustus 1961 ...

def get_shareholder_by_row_index(): for i in range(len(df)): # this will give you shareholders if row under Total is empty else office if row is not empty if df["Total"][i] == '' : print(i," shareholders") print(df.iloc[i]) # what ever your code is, will be here else: print(i," officers") print(df.iloc[i]) # what ever your code is, will be here # this will give you the indces where row under total is empty print(df["Total"].iloc[:53][df["Total"] == ''])