读取csv文件
import pandas as pd
numbers = pd.read_csv('./导航data.csv')
print(numbers.dtypes)
Filename object
Rating float64
dtype: object
读取数据
numbers.head()
numbers.tail(10)
numbers.columus
numbers.loc[0]
numbers.loc[1:10]
numbers['Filename']
numbers['Filename','Rating']
查找数据
n = numbers.columns.tolist()
m = []
for c in n:
if c.endswith('name'):
m.append(c)
print(m)
print(numbers[m].head())
[‘Filename’]
Filename
0 ftw1.jpg
1 ftw10.jpg
2 ftw100.jpg
3 ftw101.jpg
4 ftw102.jpg
增加一列运算后的数据
total = numbers['placing_has_navi_no_mileage']+numbers['placing_has_navi_has_mileage']
numbers['total'] = total
最大值、最小值、均值
print(numbers['total'].min())
print(numbers['total'].max())
print(numbers['total'].mean())
排序
按照total，从大到小排列
numbers.sort_values('total',inplace = True,ascending = False)
筛选
过滤total为空的数据
totalnull = pd.isnull(total)
totalnull.shape
print(totalnull)
numbers[:][totalnull == False]
数据透视表
p = numbers.pivot_table(index='order_id',values='total',aggfunc=np.mean)
numbers.dropna(axis=1)
numbers.dropna(axis=0,subset=['total','placing_has_navi_no_mileage'])
Original: https://blog.csdn.net/Super_RD/article/details/123470615
Author: Super_RD
Title: python数据分析处理库-Pandas基础操作
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