Python data analysis-kobe Bryan Career data reading and analysis

1. Import data (CSV format) into Jupyter

Import Pandas as PD

Import Matplotlib.pyplot as Plt

Filename= ' Data.csv '

Raw=pd.read_csv filename

Print (Raw.shape)

Raw.head () #打印前几行

2. Remove null values for a column

Kobe=raw[pd.notnull (raw[' Shot_made_flag ')]

Print (Kobe.shape)

3. Drawing with Matplotlib

alpha=0.02# point transparency, the smaller the more transparent

Plt.figure (figsize= (10,10))

Plt.subplot (121) #一行两列, the first one

Plt.scatter (kobe.loc_x,kobe.loc_y,color= ' Blue ', Alpha=alpha) #散点图

Plt.title (' loc_x and Loc_y ')

Plt.subplot (122) #一行两列, the first one

Plt.scatter (kobe.loc_x,kobe.loc_y,color= ' green ', Alpha=alpha) #散点图

Plt.title (' Lat and lon ')

4. Print unique values

Print (Kobe.action_type.unique ())

Print (Kobe.combined_shot_type.unique ())

Print (Kobe.shot_type.unique ())

Print (Kobe.shot_type.value_counts ()) #相同值出现次数

5.

Python data analysis-kobe Bryan Career data reading and analysis