pandas delete data operation (empty row, to weight)

import pandas as pd


# 加载数据
users = pd.read_excel('users.xlsx')
# print(users)

# 删除数据用drop
# labels 指定删除的列或者行名称
# axis = 0 删除行
# axis = 1 删除列
# inplace = True 替换原来数据
data = users.drop(labels=['age','sex'], axis=1, inplace=True)
print(users)

Remove Empty value column

# 首先 整列为空，对于数据分析毫无意义

# pd.count()--->非空的数目

# drop -->删除空列

import pandas as pd


# 加载数据
detail = pd.read_excel('meal_order_detail.xlsx')
# print(detail.columns)
columns = detail.columns
# print(type(columns))
# for col in columns:
#     # print(col)
#     if (detail[col].count()) == 0:#全空列
#         print(col)
#         detail.drop(labels=col, axis=1, inplace=True)
# print(detail)


col = detail.count() == 0
# print(col)
length = len(col)

# print(length)
for i in range(length):
    if col[i]:
        detail.drop(labels=col.index[i],axis=1,inplace=True)

print("detail 的形状：",detail.shape)

# Delete empty columns
# data deduplication
# similarity operation

# 删除数据
# drop()
import pandas as pd


# 去重
# pd.drop_duplicates()

# 加载数据
detail = pd.read_excel('meal_order_detail.xlsx')

# 单列数据去重
# print(detail.columns)
# print(detail.shape)
# data = detail[['counts','amounts']].drop_duplicates()
# print(data.shape)

# 多列数据去重
data1 = detail.drop_duplicates(subset=['counts', 'amounts'], inplace=True)
print(data1.shape)