#头条创作挑战赛#
DataFrame 是一个表格型的数据结构,它含有一组有序的列,每列可以是不同的值类型(数值、字符串、布尔型值)。DataFrame 既有行索引也有列索引,它可以被看做由 Series 组成的字典(共同用一个索引)。
DataFrame 构造方法如下:
pandas.DataFrame( data, index, columns, dtype, copy)
参数说明:
Pandas DataFrame 是一个二维的数组结构,类似二维数组。
In [1]:
import pandas as pddata = [['Geogle',10],['baidu',8],['360',5]]df = pd.DataFrame(data,columns=['Name','Age'],dtype=float)print(df)
Name Age0 Geogle 10.01 baidu 8.02 360 5.0
In [2]:
import pandas as pddata = {'Name':['Google', 'Baidu', '360'], 'Age':[10, 8, 5]}df = pd.DataFrame(data)print(df)
Name Age0 Google 101 Baidu 82 360 5
In [5]:
import pandas as pddata = [{'Google':10,'Baidu':8,'360':5}]df = pd.DataFrame(data)print(df)
Google Baidu 3600 10 8 5
In [7]:
import pandas as pddata = {'calories': [420, 380, 390],'duration': [50, 40, 45]}# 数据载入到 DataFrame 对象df = pd.DataFrame(data)# 返回第一行print(df.loc[0]) # 返回第一行和第二行print(df.loc[[0, 1]])
calories 420duration 50Name: 0, dtype: int64 calories duration0 420 501 380 40
In [4]:
import pandas as pddata = {br 'calories': [420, 380, 390],'duration': [50, 40, 45]} # 数据载入到 DataFrame 对象df = pd.DataFrame(data,index=['day01','day02','day03'])# 返回caloriesprint(df.loc['day01'])
calories 420duration 50Name: day01, dtype: int64
联系客服