def company_distribution(df: pd.DataFrame, ax: mp.axes.Axes) -> ResultValue:
log = logging.getLogger('company_distribution')
log.info(" >>")
try:
def autopct_format(values):
def my_format(pct):
total = sum(values)
val = int(round(pct * total / 100.0))
str_val = f'{val:n}'
return '{v:d}'.format(v=val)
return my_format
colors = [
"#9aff33", "#34ff33", "#33ff98", "#33fffe", "#339aff", "#3371ff",
"#5b33ff", "#c133ff", "#ff33d7"
]
by_company = df.groupby(["fornitore"]).sum()
by_company.reset_index(level=0, inplace=True)
values = by_company["numero_dosi"]
labels = by_company["fornitore"]
ax.pie(values,
labels=labels,
colors=colors,
autopct=autopct_format(values))
ax.set_title("Vaccini consegnati", fontsize=18)
except Exception as ex:
log.error("Exception caught - {ex}".format(ex=ex))
return ResultKo(ex)
log.info(" <<")
return ResultOk(True)
def age_distribution(df: pd.DataFrame,
ax: mp.axes.Axes,
gender: str = "F") -> ResultValue:
log = logging.getLogger('age_distribution')
log.info(" >>")
try:
if gender.upper() not in ["M", "F", "B"]:
msg = "Geneder {v} value not known".format(v=gender)
log.error(msg)
return ResultKo(Exception(msg))
by_age = df.groupby(["fascia_anagrafica"]).sum()
by_age.reset_index(level=0, inplace=True)
by_age["totals"] = by_age["sesso_femminile"] + by_age["sesso_maschile"]
values = by_age["sesso_femminile" if gender == "F" else
("sesso_maschile" if gender == "M" else "totals")]
labels = by_age["fascia_anagrafica"]
ax.pie(values, labels=labels, autopct='%1.1f%%', colors=colors)
ax.set_title("Distribuzione per eta'", fontsize=18)
except Exception as ex:
log.error("Exception caught - {ex}".format(ex=ex))
return ResultKo(ex)
log.info(" <<")
return ResultOk(True)
def chart_vaccinations_male_female(df: pd.DataFrame,
ax: mp.axes.Axes) -> ResultValue:
log = logging.getLogger('chart_vaccinations_male_female')
log.info(" >>")
try:
num_male = df["sesso_maschile"].sum()
num_female = df["sesso_femminile"].sum()
parts = [num_female, num_male]
labels = ["Donne", "Uomini"]
female_color = "#f1a29b"
male_color = "#9bd7f1"
ax.pie(parts,
labels=labels,
colors=[female_color, male_color],
autopct='%1.1f%%')
ax.set_title("Distribuzione per genere", fontsize=18)
except Exception as ex:
log.error("Exception caught - {ex}".format(ex=ex))
return ResultKo(ex)
log.info(" <<")
return ResultOk(True)
def chart_vaccinations_fornitore(df: pd.DataFrame,
ax: mp.axes.Axes) -> ResultValue:
log = logging.getLogger('chart_vaccinations_fornitore')
log.info(" >>")
try:
by_company = df.groupby(["fornitore"]).sum()
by_company["totals"] = by_company["sesso_maschile"] + by_company[
"sesso_femminile"]
by_company.reset_index(level=0, inplace=True)
values = by_company["totals"]
labels = by_company["fornitore"]
ax.pie(values,
labels=labels,
colors=["#dfeef4", "#c2e7f6", "#7fd2f3"],
autopct='%1.1f%%')
ax.set_title("Distribuzione per fornitore", fontsize=18)
except Exception as ex:
log.error("Exception caught - {ex}".format(ex=ex))
return ResultKo(ex)
log.info(" <<")
return ResultOk(True)
