manuelinfosec

manuelinfosec

print(freq)
print(sum(freq['Frequency (f)']) == len(series))

# Outputs:
#  {'Zones': ['$6965.7 - $7390.3', '$7390.3 - $7814.9', '$7814.9 - $8239.5', '$8239.5 - $8664.1', '$8664.1 - $9088.7', '$9088.7 - $9513.3'], 'Frequency (f)': [5, 1, 7, 5, 9, 4]} 
#  True

manuelinfosec

series = df['Close'].to_list()
freq = grouped_frequency(series)
keys = list(freq.keys())

# Create the table with column names from the returned dictionary
table = PrettyTable([keys[0], keys[1]], title="BTCUSDT Zones (1 Jan. - 31 Jan. 2020)")

# append nested lists to the table
for i, j in zip(freq['Zones'], freq['Frequency (f)']):
    table.add_row([i, j])

manuelinfosec

def prec(num: int):
    """Returns the number of decimal places"""
    # check if there is a decimal in the stringed numnber
    if '.' in str(num):
        # looks for the decimal point index
        ind = str(num).index('.')
        # returns the number of characters from the decimal...
        # point to the end of the number
        return len(str(num)[ind:]) - 1
    else:

manuelinfosec

def mode(data: pd.Series):
   return data.mode()

series = df['Close']
print(mode(series))

# Outputs: 
	# Output exceeds the size limit....
	# 0 6965.71 
	# 1 7200.85 

manuelinfosec

def mode(data: pd.Series):
    return data.mode()

manuelinfosec

def mode(data: list):
    return max(set(data), key=data.count)

manuelinfosec

def median(data: list, days: int = 14) -> list:
    data = sorted(data[-days:])
    length = len(data)
    
    if length % 2 == 0:
        half = int(length/2)
        new = data[half-1:half+1]
        return round(sum(new) / len(new), 2)
    else:
        half = int(length/2)

manuelinfosec

def median(data: pd.Series, days: int = 14) -> int:
    return round(series.iloc[-days:].median(),2)

series = df['Close']
mid_price = median(series,14)
print(f"${mid_price}")

# Outputs: $8718.87

manuelinfosec

def median(data: pd.Series, days: int = 14) -> int:
	"""Returns the median of a Pandas series:
	Args:
		data (pd.Series): Set of observations
		days (int): Number of days. Defaults to 14.
	Returns:
		int
	"""
	return round(series.iloc[-days:].median(),2)