-
Notifications
You must be signed in to change notification settings - Fork 0
/
ipl.py
264 lines (225 loc) · 9.29 KB
/
ipl.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
import pandas as pd
import time
import matplotlib.pyplot as plt
df = pd.DataFrame()
csv_file = "ipl_data.csv"
def made_by():
msg = '''
IPL Data Analysis made by : Rohit Sharma
'''
for x in msg:
print(x, end='')
time.sleep(0.002)
wait = input('Press any key to continue.....')
def read_csv_file():
df = pd.read_csv("ipl_data.csv")
print(df)
# name of function : clear
# purpose : clear output screen
def data_analysis_menu():
df = pd.read_csv("ipl_data.csv")
while True:
print('\n\nD A T A A N A L Y S I S M E N U ')
print('_'*100,'\n')
print('1. Show Whole DataFrame')
print('2. Show Columns')
print('3. Show Top Rows')
print('4. Show Bottom Rows')
print('5. Show Specific Column')
print('6. Add a New Record')
print('7. Add a New Column')
print('8. Delete a Column')
print('9. Delete a Record')
print('10. Data Summery')
print('11. Exit (Move to main menu)')
ch = int(input('\n\nEnter your choice:'))
if ch == 1:
print(df)
wait = input('\n\n\n Press any key to continuee.....')
if ch == 2:
print(df.columns)
wait = input('\n\n\n Press any key to continuee.....')
if ch == 3:
n = int(input('Enter Total rows you want to show :'))
print(df.head(n))
wait = input('\n\n\n Press any key to continuee.....')
if ch == 4:
n = int(input('Enter Total rows you want to show :'))
print(df.tail(n))
wait = input('\n\n\n Press any key to continuee.....')
if ch == 5:
print(df.columns)
col_name = input('Enter Column Name that You want to print : ')
print(df[col_name])
wait = input('\n\n\n Press any key to continuee.....')
if ch == 6:
a = input('Enter Match ID :')
b = input('Enter IPL season :')
c = input('Enter City Name :')
d = input('Enter Match date :')
e = input('Enter Team 1 Name :')
f = input('Enter Team 2 Name :')
g = input('Enter Toss Winner :')
h = input('Enter Toss Decision :')
i = input('Enter Result (Normal /tie/ DL ) :')
j = input('Enter Duckwoth Lewis Method applied (0 for No, 1 for Yes ) :) :')
k = input('Enter Winner Team :')
l = input('Enter Win By runs :')
m = input('Enter Win By Wickets :')
n = input('Enter Man of the Match Player :')
data = {'Jersey': a, 'season': b, 'Boundary': c,
'date': d, 'team1': e, 'team2': f, 'toss_winner': g,
'toss_decision':h,'result':i,'dl_applied':j,'winner':k,
'win_by_runs':l,'win_by_wickets':m,'player_of_match':n
}
df = df.append(data, ignore_index=True)
print(df)
wait = input('\n\n\n Press any key to continuee.....')
if ch == 7:
col_name = input('Enter new column name :')
col_value = input('Enter default column value :')
df[col_name] = col_value
print(df)
print('\n\n\n Press any key to continue....')
wait = input()
if ch == 8:
col_name = input('Enter column Name to delete :')
del df[col_name]
print(df)
print('\n\n\n Press any key to continue....')
wait = input()
if ch == 9:
index_no = int(
input('Enter the Index Number that You want to delete :'))
df = df.drop(df.index[index_no])
print(df)
print('\n\n\n Press any key to continue....')
wait = input()
if ch == 10:
print(df.describe())
wait = input('\n\n\n Press any key to continue....')
if ch == 11:
break
# name of function : graph
# purpose : To generate a Graph menu
def graph():
df = pd.read_csv("ipl_data.csv")
while True:
print('\nGRAPH MENU ')
print('_'*100)
print('\n1. Season wise Matches - Line Graph')
print('\n2. Season wise Matches - Bar Graph')
print('\n3. Season wise Matches - Horizontal Bar Graph')
print('\n4. Most Successful Team - Bar Graph')
print('\n5. Most Successful Player - Bar Graph')
print('\n6. Exit (Move to main menu)\n')
ch = int(input('Enter your choice:'))
if ch == 1:
g = df.groupby('season')
x = df['season'].unique()
y = g['season'].count()
#plt.xticks(rotation='vertical')
plt.xlabel('Season')
plt.ylabel('Matches')
plt.title('Season wise Matches')
plt.grid(True)
plt.plot(x, y) #line graph
plt.show()
if ch == 2:
g = df.groupby('season')
x = df['season'].unique()
y = g['season'].count()
#plt.xticks(rotation='vertical')
plt.xlabel('Season')
plt.ylabel('Matches')
plt.title('Season wise Matches')
plt.bar(x, y) #bar graph
plt.grid(True)
plt.show()
if ch == 3:
g = df.groupby('season')
x = df['season'].unique()
y = g['season'].count()
#plt.xticks(rotation='vertical')
plt.xlabel('Season')
plt.ylabel('Matches')
plt.title('Season wise Matches')
plt.grid(True)
plt.barh(x, y)
plt.show()
if ch == 4:
g = df.groupby('winner')
x = df['winner'].unique()
y = g['winner'].count()
plt.xticks(rotation='vertical')
plt.xlabel('winner')
plt.ylabel('Matches')
plt.title('Most Successful Team')
plt.grid(True)
plt.barh(x, y)
plt.show()
if ch == 5:
g = df.groupby('player_of_match')
x = df['player_of_match'].unique()
y = g['player_of_match'].count()
plt.xticks(rotation='vertical')
plt.xlabel('Player Name')
plt.ylabel('Total Man of the Match')
plt.title('Most successful Player')
plt.grid(True)
plt.barh(x, y)
plt.show()
if ch ==6:
break
# function name : export_menu
# purpose : function to generate export menu
def export_menu():
df = pd.read_csv("teams.csv")
while True:
print('\n\nE X P O R T M E N U ')
print('_'*100)
print()
print('1. CSV File\n')
print('2. Exit (Move to main menu)')
ch = int(input('Enter your Choice : '))
if ch == 1:
df.to_csv('teams.csv')
print('\n\nCheck your new file "ipl_data_backup.csv" on C: Drive.....')
wait = input('\n\n\n Press any key to continuee.....')
if ch == 2:
break
def main_menu():
while True:
print('MAIN MENU ')
print('_'*100)
print()
print('1. Read CSV File\n')
print('2. Data Analysis Menu\n')
print('3. Graph Menu\n')
print('4. Export Data\n')
print('5. Made By\n')
print('6. Exit\n')
choice = int(input('Enter your choice :'))
if choice == 1:
read_csv_file()
wait = input(
'\n\n Press any key to continue....')
if choice == 2:
data_analysis_menu()
wait = input('\n\n Press any key to continue....')
if choice == 3:
graph()
wait = input('\n\n Press any key to continue....')
if choice == 4:
export_menu()
wait = input(
'\n\n Press any key to continue....')
if choice == 5:
made_by()
wait = input(
'\n\n Press any key to continue....')
if choice == 6:
print('THANKS FOR VISITING MY FILE')
break
# call your main menu
main_menu()