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初级

统计自提完成率

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初级参考 完整示例代码供参考，建议自己理解后重新输入 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    csv_data = open_url('https://data.zuihe.com/dbd/ms-groupbuy/state_03/deliveries.csv').read()
    df = pd.read_csv(StringIO(csv_data))
    result = df['delivery_id'].value_counts()
    for val, count in result.items():
        print(f'{val}: {count}')

示例

输入
solve()
期望输出
DL0300: 1
DL0001: 1
DL0002: 1
DL0003: 1
DL0004: 1
DL0005: 1
DL0006: 1
DL0007: 1
DL0008: 1
DL0009: 1
DL0010: 1
DL0011: 1
DL0261: 1
DL0262: 1
DL0263: 1
DL0264: 1
DL0265: 1
DL0266: 1
DL0267: 1
DL0268: 1
DL0253: 1
DL0254: 1
DL0255: 1
DL0256: 1
DL0257: 1
DL0258: 1
DL0259: 1
DL0260: 1
DL0245: 1
DL0246: 1
DL0247: 1
DL0248: 1
DL0249: 1
DL0250: 1
DL0251: 1
DL0252: 1
DL0237: 1
DL0238: 1
DL0239: 1
DL0240: 1
DL0241: 1
DL0242: 1
DL0243: 1
DL0244: 1
DL0069: 1
DL0070: 1
DL0071: 1
DL0072: 1
DL0073: 1
DL0074: 1
DL0075: 1
DL0076: 1
DL0061: 1
DL0062: 1
DL0063: 1
DL0064: 1
DL0065: 1
DL0066: 1
DL0067: 1
DL0068: 1
DL0053: 1
DL0054: 1
DL0055: 1
DL0056: 1
DL0057: 1
DL0058: 1
DL0059: 1
DL0060: 1
DL0045: 1
DL0046: 1
DL0047: 1
DL0048: 1
DL0049: 1
DL0050: 1
DL0051: 1
DL0052: 1
DL0101: 1
DL0102: 1
DL0103: 1
DL0104: 1
DL0105: 1
DL0106: 1
DL0107: 1
DL0108: 1
DL0093: 1
DL0094: 1
DL0095: 1
DL0096: 1
DL0097: 1
DL0098: 1
DL0099: 1
DL0100: 1
DL0085: 1
DL0086: 1
DL0087: 1
DL0088: 1
DL0089: 1
DL0090: 1
DL0091: 1
DL0092: 1
DL0077: 1
DL0078: 1
DL0079: 1
DL0080: 1
DL0081: 1
DL0082: 1
DL0083: 1
DL0084: 1
DL0133: 1
DL0134: 1
DL0135: 1
DL0136: 1
DL0137: 1
DL0138: 1
DL0139: 1
DL0140: 1
DL0125: 1
DL0126: 1
DL0127: 1
DL0128: 1
DL0129: 1
DL0130: 1
DL0131: 1
DL0132: 1
DL0117: 1
DL0118: 1
DL0119: 1
DL0120: 1
DL0121: 1
DL0122: 1
DL0123: 1
DL0124: 1
DL0109: 1
DL0110: 1
DL0111: 1
DL0112: 1
DL0113: 1
DL0114: 1
DL0115: 1
DL0116: 1
DL0165: 1
DL0166: 1
DL0167: 1
DL0168: 1
DL0169: 1
DL0170: 1
DL0171: 1
DL0172: 1
DL0157: 1
DL0158: 1
DL0159: 1
DL0160: 1
DL0161: 1
DL0162: 1
DL0163: 1
DL0164: 1
DL0149: 1
DL0150: 1
DL0151: 1
DL0152: 1
DL0153: 1
DL0154: 1
DL0155: 1
DL0156: 1
DL0141: 1
DL0142: 1
DL0143: 1
DL0144: 1
DL0145: 1
DL0146: 1
DL0147: 1
DL0148: 1
DL0197: 1
DL0198: 1
DL0199: 1
DL0200: 1
DL0201: 1
DL0202: 1
DL0203: 1
DL0204: 1
DL0189: 1
DL0190: 1
DL0191: 1
DL0192: 1
DL0193: 1
DL0194: 1
DL0195: 1
DL0196: 1
DL0181: 1
DL0182: 1
DL0183: 1
DL0184: 1
DL0185: 1
DL0186: 1
DL0187: 1
DL0188: 1
DL0173: 1
DL0174: 1
DL0175: 1
DL0176: 1
DL0177: 1
DL0178: 1
DL0179: 1
DL0180: 1
DL0229: 1
DL0230: 1
DL0231: 1
DL0232: 1
DL0233: 1
DL0234: 1
DL0235: 1
DL0236: 1
DL0221: 1
DL0222: 1
DL0223: 1
DL0224: 1
DL0225: 1
DL0226: 1
DL0227: 1
DL0228: 1
DL0213: 1
DL0214: 1
DL0215: 1
DL0216: 1
DL0217: 1
DL0218: 1
DL0219: 1
DL0220: 1
DL0205: 1
DL0206: 1
DL0207: 1
DL0208: 1
DL0209: 1
DL0210: 1
DL0211: 1
DL0212: 1
DL0293: 1
DL0294: 1
DL0295: 1
DL0296: 1
DL0297: 1
DL0298: 1
DL0299: 1
DL0012: 1
DL0285: 1
DL0286: 1
DL0287: 1
DL0288: 1
DL0289: 1
DL0290: 1
DL0291: 1
DL0292: 1
DL0277: 1
DL0278: 1
DL0279: 1
DL0280: 1
DL0281: 1
DL0282: 1
DL0283: 1
DL0284: 1
DL0269: 1
DL0270: 1
DL0271: 1
DL0272: 1
DL0273: 1
DL0274: 1
DL0275: 1
DL0276: 1
DL0037: 1
DL0038: 1
DL0039: 1
DL0040: 1
DL0041: 1
DL0042: 1
DL0043: 1
DL0044: 1
DL0029: 1
DL0030: 1
DL0031: 1
DL0032: 1
DL0033: 1
DL0034: 1
DL0035: 1
DL0036: 1
DL0021: 1
DL0022: 1
DL0023: 1
DL0024: 1
DL0025: 1
DL0026: 1
DL0027: 1
DL0028: 1
DL0013: 1
DL0014: 1
DL0015: 1
DL0016: 1
DL0017: 1
DL0018: 1
DL0019: 1
DL0020: 1
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