import pandas as pd
df = pd.read_csv('weather_data_cities.csv')
print(df)
g = df.groupby('city')
print(g)
for cit, cit_df in g:
    print(cit)
    print(cit_df)
print(g.max())

8249d374ca1371c1c55542e6f9d7072bfa0e01e8
<mask token>

<mask token>
print(df)
<mask token>
print(g)
for cit, cit_df in g:
    print(cit)
    print(cit_df)
print(g.max())

<mask token>
df = pd.read_csv('weather_data_cities.csv')
print(df)
g = df.groupby('city')
print(g)
for cit, cit_df in g:
    print(cit)
    print(cit_df)
print(g.max())

import pandas as pd
df = pd.read_csv('weather_data_cities.csv')
print(df)
g = df.groupby('city')
print(g)
for cit, cit_df in g:
    print(cit)
    print(cit_df)
print(g.max())
