def modify_column_names(df):
'''
'''
modding = True
while modding:
#THIS NEEDS TO BECOME A FXN CALL... SO CAN USE W/ named = False
df.columns = fix_current_columns(df)
tprint("Would you like to modify a column's name?")
modding = cli.ask_yes(False)
if modding:
print()
col = input(
"Choose the number of the column to modify (1, 2, 3...): ")
try:
i = int(col.strip()) - 1
cli.cls(verbose=False)
tprint("Renaming column: " + df.columns[i])
print()
new = input("Type new name: ").strip()
new = make_compatible(new)
if new:
tprint("Converting name for compatibility")
tprint("Would you like to rename " + df.columns[i] +
" to " + new + " ?")
if cli.ask_yes(True):
change_one_column(new, df, i)
else:
tprint("No new column name detected")
except Exception as e: #debugging
tprint("Error renaming column")
#print(e)
cli.cls()
def show_values(df, col, output=False, values=[]):
'''
if output returns chosen value
'''
i = 0
if not values: #THIS IS A BIT SILLY
values = sorted(df[col].unique())
pages = math.ceil(len(values) / 10)
print("Current unique values: (Page 1 of %d)" % pages)
for v in values:
i += 1
print("\t" + str(i) + ") " + v)
if not output:
if i % 10 == 0 and i < len(values):
tprint("Show more values?")
if cli.ask_yes(True):
cli.cls(False)
print("Current unique values: (Page %d of %d)" %
(i / 10 + 1, pages))
else:
break
else:
if i % 10 == 0 or i == len(values):
print()
more = i < len(values)
choosing = True
while choosing: #currently always true and break/return out
if more:
c = input(
"Type the number of a value (1, 2...) or press Enter to view more values: "
)
else:
c = input(
"Type the number of a value to select it (1, 2, 3...): "
)
try:
c = int(c)
rv = str(values[c - 1])
return rv
except:
tprint("No value selected")
if more:
tprint("View more values?")
if cli.ask_yes(True):
cli.cls(False)
print(
"Current unique values: (Page %d of %d)" %
(i / 10 + 1, pages))
break
def fix_guess(g, df, col):
'''
'''
#BUILD SOMETHING TO SAVE THESE CHANGES
#NEEDS RETURNS HERE AND IN SWITCH DATA
print()
c = input(
"Choose the number of the correct value (1, 2...) or press Enter to use a custom value: "
)
try:
c = int(c.strip()) - 1
correct = g[c]
switch_data(df, col, g, c, correct)
except Exception as e:
#print(e) #debugging
chosen = False
while not chosen:
custom = input(
"Enter a new correct value or press Enter to cancel: ")
custom = custom.strip()
if custom:
tprint("Use %s ?" & custom)
chosen = cli.ask_yes(True)
if chosen:
switch_data(df, col, g, -1, custom)
#-1 is jank fix for how switch_data currently works
else:
chosen = True
def drop_na(df, col):
'''
'''
tprint(
"Would you like to remove the rows that do not contain a value for: %s?"
% col)
if cli.ask_yes(True):
df.dropna(subset=[col])
def clean_numeric(df, col):
'''
'''
tprint(
"Would you like to see summary statistics for the data in this column?"
)
if cli.ask_yes(True):
tprint(df[col].describe())
cli.cls()
def ask_default(names, default_name, default=True):
'''
'''
rv = False
tprint("Would you like to use the default name?")
if cli.ask_yes(default):
names.append(default_name)
rv = True
return rv
def ask_convert(df, col):
'''
'''
rv = False
print("This column seems to contain text data")
tprint("Is this column supposed to contain dates or numeric data?")
if cli.ask_yes(False):
rv = True
#cli.cls()
return rv
def clean_strings(df, col):
'''
'''
tprint("Removing excess white space from values in %s" % col)
df[col] = df[col].str.strip()
df[col] = df[col].str.replace(" ,", ",")
df[col] = df[col].str.replace(",,", ",")
df[col] = df[col].str.replace(" ", " ")
df[col] = df[col].str.replace("\t", " ")
cli.cls()
u = df[col].unique()
num_unique = len(u)
print("Column " + col + " contains " + str(num_unique) + " unique values")
if num_unique > WARN_LEVEL:
tprint(
"Large numbers of unique values may take significant time to analyze, depending on their length, your system and settings"
)
tprint("Would you like to search for possible errors in the data?")
guesses = []
if cli.ask_yes(True):
cli.cls(False)
guesses = consolidate_guesses(
guess_linkages(u)) #doing a lot w/ generator
if guesses:
review_guesses(df, col, guesses)
tprint("All automatic revisions reviewed")
else:
tprint("Our review did not detect any likely errors")
cli.cls()
######################
#DO THE MANUAL VERSION
print("Current unique values in %s:" % col)
show_values(df, col)
cli.cls()
print("Would you like to further clean or modify the values in %s?" % col)
if cli.ask_yes(True):
previous = [] #make previous update w/ confirmed automatic fixes...
# ^ this will take some work
fix_manual(df, col, previous)
def switch_data(df, col, g, c, correct):
'''
'''
try:
for i in range(len(g)):
if i != c:
tprint("Would you like to convert " + g[i] + " to " + correct +
"?")
if cli.ask_yes(True):
df.loc[df[col] == g[i], [col]] = correct
tprint("Converting " + g[i] + " -> " + correct, 0.5)
except Exception as e:
tprint("Error converting data. Data not converted")
def start_record(df, col, default=True):
'''
'''
print("Would you like to create a new organization?")
new = cli.ask_yes(default)
print()
if not new:
#cli.ask_continue(False)
cli.cls(verbose=False)
return
named = False
while not named:
name = input("Type organization name or abbreviation:\t")
name = name.upper().strip()
print()
print("Do you want to name this record: %s ?" % name)
named = cli.ask_yes(True)
cli.cls(verbose=False)
fname = name.replace(" ", "_") + ".txt"
#maybe put failsafe guess here... or have option to merge records later
#^ probably latter tbh.
add_new_fixes(df, col, fname)
def fix_manual(df, col, previous=[]):
'''
'''
working = True
while working:
tprint("Would you like to load a record of previously used changes?")
if cli.ask_yes(True):
fixes = choose_record(df, col, previous) #REDO/RENAME
if not fixes:
fixes = add_new_fixes(df, col, previous)
else:
cli.cls()
fixes = add_new_fixes(df, col, previous)
print("Applying fixes")
for old, new in fixes.items():
df.loc[df[col] == old, [col]] = new
tprint("Fixes applied")
cli.cls()
show_values(df, col)
tprint("Would you like to further modify the values in %s?" % col)
working = cli.ask_yes(True)
cli.cls()
def choose_col(df, working):
'''
'''
columns.fix_current_columns(
df, list_only=True) #really ugly fix in columns atm
print()
col = input(
"Choose the number of a column to clean (1, 2, 3...) or press Enter: ")
try:
i = int(col.strip()) - 1 #maybe should do something w/ the name...
col_name = df.columns[i]
except Exception as e:
col_name = ""
tprint("No column selected")
tprint("Would you like to continue cleaning columns?")
working = cli.ask_yes(True)
#print(e) #debugging
return col_name, working
def add_age(df):
'''
'''
print("Would you like to calculate participants' ages?")
age = cli.ask_yes(True)
if not age:
return
print("Adding ages")
converted = _convert_dates(df)
if converted:
y = []
for i in range(len(df)):
y.append(df["date"].iloc[i].year - df["birthdate"].iloc[i].year)
df["age"] = y
print("Ages added")
print()
#May want try/except and prompt to continue
else:
print("Error converting dates. Ages not calculated")
print()
def give_new_names(df):
'''
'''
names = []
num_cols = len(df.columns)
for i in range(num_cols):
default_name = "column_" + str(i + 1)
print("Column " + str(i + 1) + " of " + str(num_cols) +
" is currently named: " + default_name)
show_first_values(df, i)
chosen = False
while not chosen:
name = input(
"Enter a new name for this column or press Enter to keep the default: "
)
name = name.strip()
if name:
com_name = name.lower().replace(" ", "_")
tprint("Modifying input for compatibility: " + name + " -> " +
com_name)
tprint("Would you like to name this column " + com_name + " ?")
chosen = cli.ask_yes(True)
if chosen:
tprint("Setting column name")
if name in names:
print(
"Name already used for a column. Please choose another"
)
else:
names.append(name)
else:
chosen = ask_default(names, default_name, False)
else:
chosen = ask_default(names, default_name, True)
cli.cls()
#setting the new names
tprint("Adding column names")
df.columns = names
cli.cls()
def review_guesses(df, col, guesses):
'''
'''
#need to think about consolidating if there are a bunch of similar
#build so g can contain 2+ values
for g in guesses:
print("Similar Value (Number in data):")
i = 1
#exists is a p-jank solution for not having consolidate_guesses...
exists = 0
for v in g:
num_v = len(df[df[col] == v])
if num_v:
exists += 1
print("\t" + str(i) + ") " + v + "\t(%d)" % num_v)
i += 1
if exists <= 1:
cli.cls(False)
continue
tprint("Would you like to update one or more of these values?")
if cli.ask_yes(False):
fix_guess(g, df, col)
cli.cls(True)
def choose_record(df, col, previous):
'''
returns dict of old -> new
large parts of this fxn are currently deprecated, unclear if stable
'''
org = ""
#suggest = True
rv = {}
chosen = False #this is basically a C paradigm tbh
while not chosen:
#REDO STRINGS/SELECTION
'''
if not org:
print("Choose an organization from the list below:")
for org in sorted(os.listdir("staff")): #REQUIRED DIR: staff
print(org.strip(".txt").replace("_", " "))
print("Other")
print()
org = input("Organization:\t").strip().upper().replace(" ", "_")
print()
if org == "OTHER":
start_record(df, True)
org = ""
continue
#DO SOMETHING FOR OTHER -- requires making new file --> continue, maybe redisplay orgs
else:
'''
val = [n.strip(".txt") for n in os.listdir("data")
if ".txt" in n] #that is some l-comp
org = show_values(df, col, output=True, values=val)
try:
fname = org + ".txt"
with open("data/" + fname) as f:
data = f.readlines()
for row in data:
try:
old, fix = row.split("///")
rv[old] = fix.strip()
except ValueError:
#This may hurt abstraction too much as is
tprint("Bypassing incorrectly formatted data")
#print(row) #probably just cut this tbh
chosen = True
tprint(org + " data loaded")
except FileNotFoundError:
tprint("Error loading record")
tprint("Would you like to start a new record?")
if cli.ask_yes(True):
chosen = True
'''
print("Records not found")
print()
if suggest and org:
likely = cli.guess(fname.strip(".txt"),
os.listdir('staff'))
if likely:
corrected = cli.ask_meant(likely.strip(".txt"))
if corrected:
org = likely
suggest = False
continue
else:
org = ""
cli.cls(verbose = False)
else:
cli.cls(verbose = False)
#put rest INSIDE THIS BLOCK block so correction -> straight to return rv
if not suggest:
add_new_fixes(df, col, present)
'''
return rv
def add_new_fixes(df, col, previous):
finished = False
fixes = {}
while not finished:
#MAKE A FUNCTION FROM A BUNCH OF THIS SO CAN USE WITH EXISTING...
tprint("Choose a value to replace")
old = select_value(df, col)
tprint(
"Would you like to choose another existing value to replace: %s ?"
% old)
print(
"(Otherwise you will be prompted to enter a custom replacement value)"
)
if cli.ask_yes(True):
cli.cls(False)
tprint("Choose a value to replace '%s'" % old)
new = select_value(df, col)
else:
chosen = False
while not chosen:
new = input("Enter custom value to replace %s:\t" % old)
if new:
tprint("Use %s ?" % new)
chosen = cli.ask_yes(True)
cli.cls(verbose=False)
if old and new:
tprint("You chose: " + old + " -> " + new)
tprint("Confirm this replacement?")
if cli.ask_yes(True):
tprint("Confirmed")
fixes[old] = new
cli.cls()
if fixes:
print("Your chosen replacements:")
tprint("\tCurrent\tReplaced")
sort_fixes = sorted(fixes.items())
for old, new in sort_fixes:
print("\t" + old + "\t" + new)
tprint("Would you like to add another replacement?")
if cli.ask_yes(True):
cli.cls()
continue #*Slightly* jank
tprint(
"Would you like to save a record of these replacements for future use?"
)
if cli.ask_yes(True):
if previous:
tprint(
"Would you like to include the changes you selected from our suggestions in this record?"
)
if cli.ask_yes():
for p in previous:
fixes[p[1]] = p[0]
sort_fixes = sorted(fixes.items())
cli.cls()
named = False
while not named:
name = input("Choose a name for this record:\t")
name = name.lower().strip()
tprint("Do you want to name this record: %s ?" % name)
named = cli.ask_yes(True)
cli.cls(verbose=False)
with open("data/" + name + ".txt", 'w') as f:
for old, new in sort_fixes:
f.write(old + '///' + new)
if old != sort_fixes[-1]:
f.write("\n")
finished = True
return fixes
