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q01_plot_deliveries_by_team/build.py

@@ -6,3 +6,8 @@
 
 
 # Solution
+def plot_deliveries_by_team():
+    team_delivery = ipl_df.pivot_table('delivery', aggfunc = np.count_nonzero, index ='batting_team')
+
+    team_delivery.plot(kind = 'bar')
+    plt.show()

q02_plot_matches_by_team/build.py

@@ -6,3 +6,10 @@
 
 
 # Solution
+def plot_matches_by_team():
+    ipl_df['count'] = 1
+    data = ipl_df[['batting_team','match_code','count']]
+    matches = data.groupby(['batting_team','match_code']).agg(np.unique)
+    teams = matches['count'].groupby(['batting_team']).sum()
+    bar_plot = teams.plot(kind = 'bar')
+    plt.show()

q03_plot_innings_runs_histogram/build.py

@@ -6,3 +6,13 @@
 
 
 # Solution
+def plot_innings_runs_histogram():
+    a = ipl_df.groupby(by=['match_code','inning'],as_index=0)['runs'].count()
+    b= a[a['inning']==1]#['runs']
+    c= a[a['inning']==2]#['runs']
+    #x =pd.DataFrame(columns=[b,c])
+    plt.subplot(1,2,1)
+    b['runs'].hist()#.groupby(by='runs').count()#['inning'].hist()
+    plt.subplot(1,2,2)
+    c['runs'].hist()
+    plt.show()

q04_plot_runs_by_balls/build.py

@@ -6,3 +6,10 @@
 
 
 # Solution
+def plot_runs_by_balls():
+    data = ipl_df[['batsman','delivery','runs']]
+    batsman = data.groupby(['batsman'])
+    balls = batsman['delivery'].count()
+    runs = batsman['runs'].sum()
+    plt.scatter(balls,runs)
+    plt.show()