# Import Libraries
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
# Import data_set as csv
df = pd.read_csv("data.csv")
df.head()
Titleobject
Won_timeobject
0
iusto Azneft
12/10/2021 13:58
1
King 28 May
01/10/2021 14:51
2
King Gənclik Mall
01/10/2021 14:49
3
King Park Bulvar
01/10/2021 14:47
4
fs
15/10/2021 15:40
Country vs Won
# Add Month Column
df['Month'] = df['Won_time'].str[3:5]
df['Month'] = df['Month'].astype(int)
df
Titleobject
#NAME?1.7%
Sushi0.2%
2767 others98%
Won_timeobject
28/10/2021 10:081.4%
24/08/2021 13:140.6%
2378 others98%
0
iusto Azneft
12/10/2021 13:58
1
King 28 May
01/10/2021 14:51
2
King Gənclik Mall
01/10/2021 14:49
3
King Park Bulvar
01/10/2021 14:47
4
fs
15/10/2021 15:40
5
Kaffeehaus
11/09/2021 13:45
6
ve Ahmadli
28/09/2021 18:19
7
ounge Zabitlər Parkı
20/08/2021 16:06
8
iusto Bulbul
12/10/2021 13:58
9
ke
03/08/2021 15:07
Month vs Won
df['Country'].unique()
booleans = []
cn = input('Which Country you want to see? ')
print(cn)
for name in df.Country:
if name == cn:
booleans.append(True)
else:
booleans.append(False)
is_long = pd.Series(booleans)
custom_df = df[is_long]
Slovakia