In [9]:
import pandas as pd
import numpy as np
import matplotlib
from scipy import stats, integrate
import matplotlib.pyplot as plt
%matplotlib inline
import cufflinks as cf
import plotly
plotly.offline.init_notebook_mode()
import plotly.offline as py
import plotly.graph_objs as go
from plotly.graph_objs import *
import seaborn as sns
sns.set(color_codes=True)
print(pd.__version__)
In [24]:
games = pd.read_csv('/Users/DanMoeller/git/ncaa-bball-attendance/data/big_east/big_east_2014_2016.csv',sep=",",header='infer')
team_list = pd.read_csv('/Users/DanMoeller/git/ncaa-bball-attendance/data/team_list.csv',sep=",",header='infer')
In [29]:
games = pd.merge(games,team_list,left_on='home_id',right_on='id')
# del games['id']
# del games['url_name']
# games.rename(index=str, columns={"school": "home_school", "conf": "home_conf"})
games.head(5)
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games.head(5)
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games.describe()
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games.dtypes
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games.columns
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