尝试使用 Pandas 从 zip 列表中创建 Dataframe。想要的数据表结果答案

【问题标题】：Trying to create Dataframe from lists of zip using Pandas. wanted data table result尝试使用 Pandas 从 zip 列表中创建 Dataframe。想要的数据表结果
【发布时间】：2022-02-11 11:13:52
【问题描述】：

我正在抓取网站并来到将其放入 Dataframe 的部分。我尝试关注this answer，但没有预期的输出。

这是我的全部代码

#driver chrome def
website = 'https://www.bitkub.com/fee/cryptocurrency'
path = r"C:\\Users\\USER\\Downloads\\chromedriver.exe"
options = Options()
options.add_argument("start-maximized")
driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()), options=options)
driver.get(website)

#giving variable
coin_name = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.XPATH, "//tbody//tr//td[2]//span")))]
chain_name = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.XPATH, "//tbody//tr//td[3]//div")))]
withdrawal_fees = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.XPATH, "//tbody//tr//td[4]//div")))]
#print(coin_name)
#print(chain_name)
#print(withdrawal_fees)

#for loop make list
for coin, chains, wdf in zip(coin_name, chain_name, withdrawal_fees):
    print("Coin name: {} Chain: {} Fee: {}".format(coin, chains, wdf))
#driver.quit

输出将是这样的，还没有列。所以我希望它按“硬币名称”、“链”和“费用”分开列

Coin name: Civic(CVC) Chain: ETH (ERC20) Fee: 97.00000000 (CVC)
Coin name: (CVC) Chain: BSV Fee: 0.0004 (BSV)
Coin name: Bitcoin SV(BSV) Chain: ETH (ERC20) Fee: 0.00625000 (ETH)
Coin name: (BSV) Chain: BKC (KAP20) Fee: 0.01 (KUB)
Coin name: Ethereum(ETH) Chain: ETH (ERC20) Fee: 0.22000000 (COMP)
.
.
.

这是我抓取的变量的输入

print(coin_name)
['Civic(CVC)', '(CVC)', 'Bitcoin SV(BSV)', '(BSV)', 'Ethereum(ETH)', '(ETH)', 'Bitkub Coin(KUB)', '(KUB)', 'Compound(COMP)', '(COMP)', 'Curve DAO Token(CRV)', '(CRV)', 'Axie Infinity(AXS)', '(AXS)', 'The Sandbox(SAND)', '(SAND)', 'XRP(XRP)', '(XRP)', 'ChainLink Token(LINK)', '(LINK)', 'KyberNetwork(KNC)', '(KNC)', 'Stellar(XLM)', '(XLM)', 'Six(SIX)', '(SIX)', 'Everex(EVX)', '(EVX)', 'Alpha Finance Lab(ALPHA)', '(ALPHA)', 'Balancer(BAL)', '(BAL)', 'Litecoin(LTC)', '(LTC)', 'IOSToken(IOST)', '(IOST)', 'Cortex Coin(CTXC)', '(CTXC)', 'NEAR(NEAR)', '(NEAR)', 'Aave(AAVE)', '(AAVE)', 'Raiden Network Token(RDN)', '(RDN)', 'JFIN Coin(JFIN)', '(JFIN)', 'Basic Attention Token(BAT)', '(BAT)', 'Zilliqa(ZIL)', '(ZIL)', 'Polkadot(DOT)', '(DOT)', 'SushiSwap(SUSHI)', '(SUSHI)', 'Bitcoin Cash(BCH)', '(BCH)', 'Cardano(ADA)', '(ADA)', 'BNB Coin(BNB)', '(BNB)', 'Power Ledger(POW)', '(POW)', 'Secret Network(SCRT)', '(SCRT)', 'yearn.finance(YFI)', '(YFI)', 'Bitcoin(BTC)', '(BTC)', 'OmiseGO(OMG)', '(OMG)', 'Tether(USDT)', '(USDT)', 'Dogecoin(DOGE)', '(DOGE)', 'USD Coin(USDC)', '(USDC)', 'Maker(MKR)', '(MKR)', 'Enjin Coin(ENJ)', '(ENJ)', 'Kusama(KSM)', '(KSM)', 'Donnie Finance(DON)', '(DON)', 'Wancoin(WAN)', '(WAN)', 'StatusNetwork(SNT)', '(SNT)', '0x(ZRX)', '(ZRX)', 'Arcblock(ABT)', '(ABT)', 'Decentraland(MANA)', '(MANA)', 'Dai Stablecoin(DAI)', '(DAI)', 'Band Protocol(BAND)', '(BAND)', 'Golem Network Token(GLM)', '(GLM)', 'Uniswap(UNI)', '(UNI)', 'FTX Token(FTT)', '(FTT)', 'Ocean Protocol(OCEAN)', '(OCEAN)', 'Synthetix(SNX)', '(SNX)', 'Boba Token(BOBA)', '(BOBA)', 'Gala(GALA)', '(GALA)', 'GateToken(GT)', '(GT)', 'Songbird(SGB)', '(SGB)', 'GuildFi(GF)', '(GF)', 'Immutable X(IMX)', '(IMX)', 'Ethereum Name Service(ENS)', '(ENS)', 'dYdX(DYDX)', '(DYDX)', 'Illuvium(ILV)', '(ILV)', 'Aavegotchi(GHST)', '(GHST)', 'Chiliz(CHZ)', '(CHZ)', 'The Graph(GRT)', '(GRT)', 'Gods Unchained(GODS)', '(GODS)', 'Convex Finance(CVX)', '(CVX)', 'LUKSO(LYXE)', '(LYXE)', 'Crypto.com Coin(CRO)', '(CRO)', 'Yield Guild Game(YGG)', '(YGG)', 'Smooth Love Potion(SLP)', '(SLP)', 'Coin98(C98)', '(C98)', 'ShuttleOne(SZO)', '(SZO)', 'Popcoin(POP)', '(POP)', 'Experimental Finance(EXFI)', '(EXFI)', 'Solana(SOL)', '(SOL)', 'Avalanche(AVAX)', '(AVAX)', 'Polygon(MATIC)', '(MATIC)', 'Fantom(FTM)', '(FTM)', 'Terra(LUNA)', '(LUNA)']

print(chain_name)
['ETH (ERC20)', 'BSV', 'ETH (ERC20)', 'BKC (KAP20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'XRP', 'ETH (ERC20)', 'ETH (ERC20)', 'XLM', 'XLM', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'LTC', 'IOST', 'ETH (ERC20)', 'NEAR', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ZIL', 'DOT', 'ETH (ERC20)', 'BCH', 'ADA', 'BNB (BEP2)', 'ETH (ERC20)', 'SCRT', 'ETH (ERC20)', 'BTC', 'ETH (ERC20)', 'ETH (ERC20)', 'DOGE', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'KSM', 'IOST', 'WAN', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'BAND', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'SGB', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'ETH (ERC20)', 'BKC (KAP20)', 'SGB', 'SOL', 'AVAX_C (AVAX)', 'MATIC (Polygon)', 'FTM (Fantom)', 'LUNA (Terra)']

print(withdrawal_fees)
['97.00000000 (CVC)', '0.0004 (BSV)', '0.00625000 (ETH)', '0.01 (KUB)', '0.22000000 (COMP)', '9.32000000 (CRV)', '0.49000000 (AXS)', '6.95000000 (SAND)', '0.25 (XRP)', '1.75000000 (LINK)', '4 (KNC)', '0.02 (XLM)', '1 (SIX)', '114.00000000 (EVX)', '72.00000000 (ALPHA)', '2.14000000 (BAL)', '0.001 (LTC)', '1 (IOST)', '0.1 (CTXC)', '0.01 (NEAR)', '0.28000000 (AAVE)', '55.00000000 (RDN)', '5.75000000 (JFIN)', '34.00000000 (BAT)', '0.2 (ZIL)', '0.1 (DOT)', '6.80000000 (SUSHI)', '0.001 (BCH)', '1 (ADA)', '0.00100000 (BNB)', '54.00000000 (POW)', '0.1 (SCRT)', '0.00120000 (YFI)', '0.0005 (BTC)', '5.99000000 (OMG)', '35.00000000 (USDT)', '5 (DOGE)', '35.00000000 (USDC)', '0.01400000 (MKR)', '15.00000000 (ENJ)', '0.01 (KSM)', '0.00840000 (DON)', '0.1 (WAN)', '514.00000000 (SNT)', '45.00000000 (ZRX)', '35 (ABT)', '9.82000000 (MANA)', '15 (DAI)', '0.01 (BAND)', '79.00000000 (GLM)', '2.64000000 (UNI)', '0.68000000 (FTT)', '39 (OCEAN)', '7.05 (SNX)', '10.00000000 (BOBA)', '90.00000000 (GALA)', '9.5 (GT)', '1 (SGB)', '10 (GF)', '11.00000000 (IMX)', '1.54000000 (ENS)', '11.00000000 (DYDX)', '0.04400000 (ILV)', '13 (GHST)', '105 (CHZ)', '48 (GRT)', '12 (GODS)', '1.8 (CVX)', '1.5 (LYXE)', '31 (CRO)', '5.42 (YGG)', '519 (SLP)', '11 (C98)', '170 (SZO)', '40 (POP)', '0.1 (EXFI)', '0.01 (SOL)', '0.01 (AVAX)', '0.1 (MATIC)', '0.01 (FTM)', '0.02 (LUNA)']

【问题讨论】：

如果您分享您正在使用的输入（在网络抓取之后），帮助您调试它会容易得多:)
@GabrielPellegrino 谢谢。以为没必要，所以我把它放出来，以免发帖太长。哈哈我的坏。我现在编辑了。
嗨，你没有用你的输入更新它，你用脚本的导入部分更新了它。我想看看 WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.XPATH, "//tbody//tr//td[2]//span"))) 的结果例子。
@GabrielPellegrino 好的。我又更新了。希望这次我做得对。谢谢你的建议。

标签： python pandas dataframe web-scraping

【解决方案1】：

coin_name 的长度是其他列表的两倍。一旦你解决了这个问题，你就可以这样做：

pd.DataFrame({'coin_name': coin_name[0:81], 'chain_name': chain_name, 'withdrawal_fees':withdrawal_fees})

          coin_name       chain_name    withdrawal_fees
0        Civic(CVC)      ETH (ERC20)  97.00000000 (CVC)
1             (CVC)              BSV       0.0004 (BSV)
2   Bitcoin SV(BSV)      ETH (ERC20)   0.00625000 (ETH)
3             (BSV)      BKC (KAP20)         0.01 (KUB)
4     Ethereum(ETH)      ETH (ERC20)  0.22000000 (COMP)
..              ...              ...                ...
76       Maker(MKR)              SOL         0.01 (SOL)
77            (MKR)    AVAX_C (AVAX)        0.01 (AVAX)
78  Enjin Coin(ENJ)  MATIC (Polygon)        0.1 (MATIC)
79            (ENJ)     FTM (Fantom)         0.01 (FTM)
80      Kusama(KSM)     LUNA (Terra)        0.02 (LUNA)

[81 rows x 3 columns]

【讨论】：

谢谢，我现在得到了数据框。仅供参考 coin_name 来自 span，其中包含 2 个元素。