kedao

应用自定义包输出空值占比的可视化图形

1. 用法1如下:检测空值

# 导入自定义包
pip install kedaofx
from kedaofx import Show

# 数据
data = pd.DataFrame(
{'name': ['s1', 's2', 's3', None, None, 'a', 'a', 0, 0, 0],
 'age1': [None, 23, 24, 25, 27, 'a', 0, 0, 0, 0],
 'age2': [None, 23, 24, 25, 27, 0, 0, 0, 0, 0],
 'age3': [3, 23, 24, 25, 27, 3, 3, 4, 5, 6],
 'age4': [0, 23, 24, 25, 27, 'a', 1, 1, 1, 1]}) 

# 检测为Null的值在整个数据中的占比
Show.show_null(data)

2. 用法2如下:检测固定格式的空值

# 检测为空值在数值列（ops_int）下在整个数据中的占比
Show.show_null(data, ops_int=0)

# 检测为空值在字符串列条件（ops_str）下在整个数据中的占比
Show.show_null(data, ops_str='a')

# 检测为空值在数值列（ops_int）及字符串列条件（ops_str）下在整个数据中的占比
Show.show_null(data, ops_int=0, ops_str='a')

kedaofx 自定义包

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