def return_cases_NonResidential(pattern1, pattern2, pattern3, pattern4,
pattern5, pattern6, pattern7):
"""
Function scans the LA Public Health Care website and returns a list of the targetted data information. It's
particularly designed to capture the Non-Residential data since the title web-page is designed with several indentions
Input: string variable
Output: list
"""
soup_strings = []
for string in soup.strings:
soup_strings.append(string)
maxi = len(soup_strings)
i = 0
data_extract = []
la_cases = []
while (i <= maxi):
if ((soup_strings[i] == str(pattern1)) &
(soup_strings[i + 1] == str(pattern2)) &
(soup_strings[i + 2] == str(pattern3)) &
(soup_strings[i + 3] == str(pattern4)) &
(soup_strings[i + 4] == str(pattern5)) &
(soup_strings[i + 5] == str(pattern6)) &
(soup_strings[i + 6] == str(pattern7))):
length = len(soup_strings[i:])
start = len(soup_strings) - length
end = start + length
stop = 'Total'
placeholder = str()
while ((start <= end) & (placeholder != stop)):
placeholder = soup_strings[start]
data_extract.append(soup_strings[start])
start += 1
data_start, data_end = search_start_end(data_extract)
for i in range(len(data_extract)):
if ((i >= data_start) & (i <= data_end)):
la_cases.append(data_extract[i])
break
i += 1
del data_extract, i, maxi, data_start, data_end, length
la_cases = remove_tabs_and_obs(la_cases)
return la_cases
def return_cases(search_input):
"""
Function scans the LA Public Health Care website and returns a list of the targetted data information
Input: string variable
Output: list
"""
soup_strings = []
for string in soup.strings:
soup_strings.append(string)
maxi = len(soup_strings)
i = 0
data_extract = []
la_cases = []
while (i <= maxi):
if (soup_strings[i] == str(search_input)):
length = len(soup_strings[i:])
start = len(soup_strings) - length
end = start + length
stop = 'Total'
placeholder = str()
while ((start <= end) & (placeholder != stop)):
placeholder = soup_strings[start]
data_extract.append(soup_strings[start])
start += 1
data_start, data_end = search_start_end(data_extract)
for i in range(len(data_extract)):
if ((i >= data_start) & (i <= data_end)):
la_cases.append(data_extract[i])
break
i += 1
del data_extract, i, maxi, data_start, data_end, length
la_cases = remove_tabs_and_obs(la_cases)
return la_cases