708 lines
14 KiB
Plaintext
708 lines
14 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 快速生成假数据"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import faker\n",
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"\n",
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"fake = faker.Faker()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Paul Jones'"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.name()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Hong Kong dollar'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.currency_name() "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Mosley, Stevens and Cuevas'"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.company()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[<faker.providers.user_agent.Provider at 0x7f88d87d6130>,\n",
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" <faker.providers.ssn.en_US.Provider at 0x7f88d87d6160>,\n",
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" <faker.providers.python.Provider at 0x7f88d87bfe20>,\n",
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" <faker.providers.profile.Provider at 0x7f88d87bffd0>,\n",
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" <faker.providers.phone_number.en_US.Provider at 0x7f88d87bfee0>,\n",
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" <faker.providers.person.en_US.Provider at 0x7f88d87bfbe0>,\n",
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" <faker.providers.misc.en_US.Provider at 0x7f88d87bfca0>,\n",
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" <faker.providers.lorem.en_US.Provider at 0x7f88d87bfaf0>,\n",
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" <faker.providers.job.en_US.Provider at 0x7f88d87bf940>,\n",
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" <faker.providers.isbn.Provider at 0x7f88d87bf640>,\n",
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" <faker.providers.internet.en_US.Provider at 0x7f88d87bf850>,\n",
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" <faker.providers.geo.en_US.Provider at 0x7f88d87bf580>,\n",
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" <faker.providers.file.Provider at 0x7f88d87bf790>,\n",
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" <faker.providers.date_time.en_US.Provider at 0x7f88d87bf4c0>,\n",
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" <faker.providers.currency.en_US.Provider at 0x7f88d87bf5e0>,\n",
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" <faker.providers.credit_card.en_US.Provider at 0x7f88d87bf400>,\n",
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" <faker.providers.company.en_US.Provider at 0x7f88d879ce20>,\n",
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" <faker.providers.color.en_US.Provider at 0x7f88d879cb20>,\n",
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" <faker.providers.barcode.en_US.Provider at 0x7f88d879c550>,\n",
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" <faker.providers.bank.en_GB.Provider at 0x7f89282f9b50>,\n",
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" <faker.providers.automotive.en_US.Provider at 0x7f88c87f8ee0>,\n",
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" <faker.providers.address.en_US.Provider at 0x7f88d8695b80>]"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.providers"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 生成本土化数据"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"import faker\n",
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"fake = faker.Faker(locale=\"zh-CN\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'黄丽娟'"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.name()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'13918155548'"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.phone_number()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'佳禾网络有限公司'"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.company()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'tao68@example.org'"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.email()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 创建多个本土化版本"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"fake = faker.Faker(locale=[\"zh-CN\", \"ja-JP\", \"ko-KR\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'程畅'"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake[\"zh-CN\"].name()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'近藤 稔'"
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]
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},
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake[\"ja-JP\"].name()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'구현우'"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake[\"ko-KR\"].name()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['zh_CN', 'ja_JP', 'ko_KR']"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.locales"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[<faker.generator.Generator at 0x7f88d88ff580>,\n",
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" <faker.generator.Generator at 0x7f88d88ff550>,\n",
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" <faker.generator.Generator at 0x7f88d88ffa90>]"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.factories"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 使用社区生态中补充的 Provider"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"# uncomment below code to install third-party provider\n",
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"# !pip install faker-biology"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [],
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"source": [
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"from faker import Faker\n",
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"from faker_biology.bioseq import Bioseq\n",
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"\n",
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"fake = Faker()\n",
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"fake.add_provider(Bioseq)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'TCGACCATCG'"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.dna(10)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'UAAGGUCGGC'"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.rna(10)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'MVGFAGGAENV'"
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]
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},
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.protein(10)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 如何实现自己的 Provider"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [],
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"source": [
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"import faker\n",
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"\n",
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"from faker.providers import DynamicProvider\n",
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"\n",
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"fake = faker.Faker()\n",
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"\n",
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"locales = DynamicProvider(\n",
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" provider_name=\"custom_locales\",\n",
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" elements=[\"zh-CN\", \"en-US\", \"ja-JP\", \"ko-KR\"]\n",
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")\n",
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"fake.add_provider(locales)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'ko-KR'"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.custom_locales()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
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"outputs": [],
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"source": [
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"import faker\n",
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"from faker.providers import BaseProvider\n",
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"\n",
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"\n",
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"class MyProvider(BaseProvider):\n",
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" def custom_locales(self):\n",
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" choices = [\"zh-CN\", \"en-US\", \"ja-JP\", \"ko-KR\"]\n",
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" return choices\n",
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"\n",
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" def custom_programming_languages(self):\n",
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" langs = [\"Python\", \"Java\", \"Golang\", \"JavaScript\", \"Swift\"]\n",
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" return langs\n",
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"\n",
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" def custom_numbers(self, n: int = 10):\n",
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" if n < 0:\n",
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" raise ValueError(\"n must be greater than or equal to 0.\")\n",
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"\n",
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" return list(range(n))\n",
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"\n",
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"\n",
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"fake = faker.Faker()\n",
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"fake.add_provider(MyProvider)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['zh-CN', 'en-US', 'ja-JP', 'ko-KR']"
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]
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},
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.custom_locales()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Python', 'Java', 'Golang', 'JavaScript', 'Swift']"
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]
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},
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.custom_programming_languages()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.custom_numbers()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[0, 1, 2, 3, 4]"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fake.custom_numbers(n=5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
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"outputs": [],
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"source": [
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"import faker\n",
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"from faker.providers import BaseProvider\n",
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"\n",
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"\n",
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"class MyProvider(BaseProvider):\n",
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" def custom_locales(self):\n",
|
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" choices = [\"zh-CN\", \"en-US\", \"ja-JP\", \"ko-KR\"]\n",
|
|
" return self.random_element(choices)\n",
|
|
"\n",
|
|
" def custom_programming_languages(self):\n",
|
|
" langs = [\"Python\", \"Java\", \"Golang\", \"JavaScript\", \"Swift\"]\n",
|
|
" return self.random_element(langs)\n",
|
|
"\n",
|
|
" def custom_numbers(self, n: int = 10):\n",
|
|
" if n < 0:\n",
|
|
" raise ValueError(\"n must be greater than or equal to 0.\")\n",
|
|
"\n",
|
|
" return self.random_element(list(range(n)))\n",
|
|
"\n",
|
|
"fake = faker.Faker()\n",
|
|
"fake.add_provider(MyProvider)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'ko-KR'"
|
|
]
|
|
},
|
|
"execution_count": 31,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"fake.custom_locales()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'Swift'"
|
|
]
|
|
},
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"fake.custom_programming_languages()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"9"
|
|
]
|
|
},
|
|
"execution_count": 33,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"fake.custom_numbers(n=10)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3.9.0 ('pandas-startup')",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.4"
|
|
},
|
|
"orig_nbformat": 4,
|
|
"vscode": {
|
|
"interpreter": {
|
|
"hash": "13977d4cc82dee5f9d9535ceb495bd0ab12a43c33c664e5f0d53c24cf634b67f"
|
|
}
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|