Question

exchange rates = {'0.0045': 3, '0.0160': 2, '-0.0028': 6, '-0.0157': 1, '-0.0443': 1, '-0.0232': 1, '-0.0065':...

exchange rates = {'0.0045': 3, '0.0160': 2, '-0.0028': 6, '-0.0157': 1, '-0.0443': 1, '-0.0232': 1, '-0.0065': 9, '-0.0080': 12, '0.0052': 1, '-0.0052': 3, '-0.0283': 1, '-0.0087': 1, '-0.0020': 9, '-0.0290': 2, '0.0180': 3, '0.0030': 15, '-0.0170': 2, '0.0000': 63, '-0.0185': 3, '-0.0055': 5, '0.0148': 1, '-0.0053': 1, '0.0265': 1, '0.0010': 22, '-0.0015': 5, '0.0137': 1, '-0.0137': 2, '-0.0023': 2, '0.0008': 10, '0.0055': 6, '-0.0025': 6, '-0.0125': 2, '0.0040': 14, '0.0260': 1, '0.0070': 8, '0.0210': 1, '-0.0070': 8, '0.0395': 1, '-0.0040': 14, '-0.0255': 2, '0.0037': 3, '0.0060': 7, '0.0025': 7, '0.0095': 2, '-0.0100': 2, '-0.0085': 6, '-0.0248': 1, '0.0028': 8, '-0.0005': 7, '-0.0113': 1, '0.0418': 1, '-0.0075': 4, '0.0130': 4, '-0.0165': 1, '0.0020': 16, '-0.0090': 7, '0.0190': 4, '-0.0245': 1, '0.0240': 2, '-0.0225': 1, '-0.0230': 1, '-0.0295': 1, '-0.0330': 1, '-0.0139': 1, '0.0104': 1, '0.0032': 7, '-0.0117': 1, '-0.0035': 8, '-0.0010': 18, '0.0285': 1, '0.0012': 7, '-0.0202': 1, '-0.0098': 1, '0.0195': 1, '0.0075': 3, '0.0015': 8, '0.0005': 5, '-0.0130': 4, '0.0115': 1, '0.0245': 2, '0.0175': 1, '0.0155': 1, '0.0120': 3, '0.0185': 1, '-0.0078': 3, '0.0023': 2, '0.0340': 1, '-0.0105': 5, '0.0140': 2, '-0.0060': 9, '0.0125': 3, '0.0262': 1, '0.0143': 1, '-0.0120': 3, '-0.0380': 1, '-0.0095': 4, '0.0135': 2, '-0.0045': 6, '0.0100': 8, '0.0145': 2, '-0.0140': 6, '-0.0200': 1, '-0.0030': 11, '0.0035': 6, '-0.0175': 1, '0.0105': 3, '0.0080': 10, '0.0165': 3, '0.0050': 16, '0.0230': 1, '-0.0050': 3, '0.0170': 2, '-0.0110': 2, '-0.0115': 3, '0.0255': 1, '0.0300': 1, '0.0110': 6, '0.0065': 3, '-0.0205': 1, '-0.0145': 2, '-0.0150': 2, '0.0085': 1, '0.0090': 3, '-0.0022': 7, '-0.0068': 5, '-0.0128': 1, '0.0073': 1, '0.0013': 3, '0.0044': 8, '0.0081': 1, '-0.0017': 1, '-0.0061': 1, '0.0088': 1, '-0.0041': 3, '-0.0044': 8, '0.0076': 4, '0.0102': 2, '0.0043': 1, '-0.0007': 2, '-0.0042': 6, '0.0011': 2, '0.0029': 1, '-0.0049': 2, '-0.0046': 9, '-0.0009': 2, '-0.0011': 1, '-0.0101': 2, '0.0022': 3, '0.0058': 2, '-0.0047': 1, '0.0067': 1, '0.0092': 4, '-0.0002': 13, '0.0041': 1, '0.0089': 1, '-0.0021': 1, '0.0006': 11, '-0.0036': 8, '0.0024': 8, '-0.0059': 1, '0.0068': 1, '-0.0260': 1, '0.0062': 3, '0.0064': 2, '0.0004': 16, '0.0048': 3, '0.0086': 1, '0.0096': 3, '-0.0074': 3, '0.0042': 8, '0.0122': 1, '0.0014': 7, '0.0072': 2, '-0.0146': 1, '-0.0048': 6, '-0.0012': 8, '0.0094': 2, '0.0009': 2, '-0.0004': 10, '-0.0038': 6, '0.0034': 6, '0.0016': 12, '-0.0016': 6, '0.0056': 5, '-0.0084': 2, '-0.0026': 6, '-0.0006': 8, '0.0066': 3, '-0.0094': 3, '-0.0014': 8, '0.0019': 1, '0.0101': 1, '0.0186': 1, '0.0084': 1, '-0.0062': 1, '-0.0086': 2, '0.0002': 8, '-0.0072': 2, '0.0057': 2, '0.0033': 1, '-0.0033': 1, '0.0017': 1, '0.0026': 9, '-0.0032': 5, '0.0018': 9, '0.0054': 4, '-0.0155': 1, '0.0074': 3, '0.0194': 1, '0.0202': 1, '-0.0172': 1, '0.0036': 7, '-0.0092': 2, '0.0071': 1, '-0.0186': 1, '0.0162': 1, '-0.0226': 1, '-0.0154': 1, '-0.0066': 3, '-0.0112': 1, '-0.0124': 2, '-0.0106': 4, '0.0027': 1, '0.0082': 2, '-0.0148': 4, '-0.0176': 1, '-0.0024': 4, '-0.0058': 1, '-0.0018': 11, '0.0284': 1, '-0.0195': 1, '-0.0316': 1, '0.0134': 2, '-0.0108': 1, '-0.0136': 1, '-0.0034': 3, '0.0038': 6, '-0.0003': 2, '0.0256': 1, '-0.0073': 1, '-0.0054': 6, '0.0007': 1, '-0.0187': 1, '-0.0118': 1, '-0.0280': 1, '0.0174': 1, '-0.0008': 4, '0.0078': 3, '0.0278': 1, '0.0141': 1, '-0.0138': 2, '0.0091': 1, '0.0136': 1, '-0.0126': 1, '-0.0082': 1, '0.0046': 3, '-0.0203': 1, '-0.0116': 1, '-0.0179': 1, '0.0192': 2, '-0.0064': 2, '-0.0056': 1, '-0.0220': 1, '-0.0134': 1, '0.0114': 1, '-0.0152': 1, '-0.0076': 1, '0.0172': 1, '-0.0001': 1, '-0.0029': 1, '-0.0158': 1}

def count_data(d):

'''

(dict of {float:int}) -> int

Given d where the keys are exchange rate changes and values are the number of occurrences of each exchange rate change, return the total number of exchange rate changes (including duplicates).

'''

0 0
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Answer #1

Solution:

Please find below the following method implemented.

Please note the method will count each of the values in the dictionary one by one corresponding to each key.Even if the dictionary has duplicate keys with values, python wilk replace the old value for the same key.

def count_data(d) :

count = 0

for number_of_occurances in d.values() :

count += number_of_occurances

return count

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exchange rates = {'0.0045': 3, '0.0160': 2, '-0.0028': 6, '-0.0157': 1, '-0.0443': 1, '-0.0232': 1, '-0.0065':...
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