def read_image(image_path, is_raw=False):
if is_raw:
try:
img = StringIO(image_path)
except TypeError:
img = BytesIO(image_path)
img = Image.open(img).convert('RGB')
else:
img = Image.open(image_path).convert('RGB')
img_copy = img.copy()
img.close()
return img_copy
7 no 1 male
8 no 2 male
9 no 2 male
10 no 1 male
11 no 0 female
"""
data = StringIO(data)
data.seek(0)
data = pd.read_csv(data, sep=' ', skipinitialspace=True, index_col='PersonID')
data.info()
# %%
"""
genero la tabella dei conteggi
"""
data_ = data.copy()
data_['Intercept'] = 1
info_df_ = data_.groupby(['Sex', 'No_of_Children', 'Married'])['Intercept'].count()
print(info_df_)
# %%
url = "http://facweb.cs.depaul.edu/mobasher/classes/csc478/Data/titanic-trimmed.csv"
titanic = pd.read_csv(url)
titanic.head(10)
titanic['Intercept'] = 1
titanic['survived'] = titanic['survived'].replace({0:'No', 1:'Yes'})
info_df_ = titanic.groupby(['pclass', 'sex', 'survived'])['Intercept'].count()
# %%
"""
