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Commit Live PR #47

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263d4a0
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brijesh-upadhyay Dec 24, 2017
e165601
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brijesh-upadhyay Dec 24, 2017
bc616cc
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brijesh-upadhyay Dec 24, 2017
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brijesh-upadhyay Dec 24, 2017
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15 changes: 13 additions & 2 deletions q01_plot_deliveries_by_team/build.py
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import pandas as pd
# %load q01_plot_deliveries_by_team/build.py
from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt

ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)

def plot_deliveries_by_team():

df= DataFrame(ipl_df[['batting_team','delivery']].groupby(['batting_team'])['delivery'].count())
df.columns=['deliveries']
df.index.name=['batting_team']
df.plot(kind='bar')
plt.show()

# Solution
plot_deliveries_by_team()
14 changes: 11 additions & 3 deletions q02_plot_matches_by_team/build.py
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Original file line number Diff line number Diff line change
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import pandas as pd
# %load q02_plot_matches_by_team/build.py
from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt

ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
def plot_matches_by_team():
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
df=DataFrame(ipl_df[['batting_team','match_code']].groupby(['batting_team'])['match_code'].nunique())
df.plot(kind='bar')
plt.show()


# Solution
plot_matches_by_team()
16 changes: 12 additions & 4 deletions q03_plot_innings_runs_histogram/build.py
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Original file line number Diff line number Diff line change
@@ -1,8 +1,16 @@
import pandas as pd
# %load q03_plot_innings_runs_histogram/build.py
from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt

ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)

def plot_innings_runs_histogram():
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
df=DataFrame(ipl_df[['batting_team', 'inning','runs']].groupby(['batting_team','inning'])['runs'].sum())
piv_tab = df.pivot_table(index='batting_team',columns='inning', values='runs')
piv_tab.plot(kind='bar',stacked=True)
plt.show()

# Solution
plot_innings_runs_histogram()
19 changes: 15 additions & 4 deletions q04_plot_runs_by_balls/build.py
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Original file line number Diff line number Diff line change
@@ -1,8 +1,19 @@
import pandas as pd
# %load q04_plot_runs_by_balls/build.py
from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt

ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)

def plot_runs_by_balls():
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
df1 = DataFrame(ipl_df[['batsman','delivery','match_code']].groupby(['batsman','match_code'])['delivery'].count())
df2 = DataFrame(ipl_df[['batsman','runs','match_code']].groupby(['batsman','match_code'])['runs'].sum())
merg_df=[df1,df2]
final_df = pd.concat(merg_df,axis=1)
one_bats = final_df.loc[['A Ashish Reddy'],:]
one_bats.plot.scatter('delivery','runs')
plt.show()

# Solution
plot_runs_by_balls()