我在R和Python Pandas的新手中经验丰富。我试图索引一个DataFrame来检索满足一组几个逻辑条件的行 - 很像SQL的“where”语句。
我知道如何在R中使用数据帧(以及使用R的data.table包,这更像是Pandas DataFrame而不是R的本机数据帧)。
下面是一些构建DataFrame的示例代码以及我想如何为其编制索引的说明。有一个简单的方法吗?
import pandas as pd
import numpy as np
# generate some data
mult = 10000
fruits = ['Apple', 'Banana', 'Kiwi', 'Grape', 'Orange', 'Strawberry']*mult
vegetables = ['Asparagus', 'Broccoli', 'Carrot', 'Lettuce', 'Rutabaga', 'Spinach']*mult
animals = ['Dog', 'Cat', 'Bird', 'Fish', 'Lion', 'Mouse']*mult
xValues = np.random.normal(loc=80, scale=2, size=6*mult)
yValues = np.random.normal(loc=79, scale=2, size=6*mult)
data = {'Fruit': fruits,
'Vegetable': vegetables,
'Animal': animals,
'xValue': xValues,
'yValue': yValues,}
df = pd.DataFrame(data)
# shuffle the columns to break structure of repeating fruits, vegetables, animals
np.random.shuffle(df.Fruit)
np.random.shuffle(df.Vegetable)
np.random.shuffle(df.Animal)
df.head(30)
# filter sets
fruitsInclude = ['Apple', 'Banana', 'Grape']
vegetablesExclude = ['Asparagus', 'Broccoli']
# subset1: All rows and columns where:
# (fruit in fruitsInclude) AND (Vegetable not in vegetablesExlude)
# subset2: All rows and columns where:
# (fruit in fruitsInclude) AND [(Vegetable not in vegetablesExlude) OR (Animal == 'Dog')]
# subset3: All rows and specific columns where above logical conditions are true.
欢迎并高度赞赏所有帮助和投入!
谢谢, 兰德尔
答案 0 :(得分:15)
# subset1: All rows and columns where:
# (fruit in fruitsInclude) AND (Vegetable not in vegetablesExlude)
df.ix[df['Fruit'].isin(fruitsInclude) & ~df['Vegetable'].isin(vegetablesExclude)]
# subset2: All rows and columns where:
# (fruit in fruitsInclude) AND [(Vegetable not in vegetablesExlude) OR (Animal == 'Dog')]
df.ix[df['Fruit'].isin(fruitsInclude) & (~df['Vegetable'].isin(vegetablesExclude) | (df['Animal']=='Dog'))]
# subset3: All rows and specific columns where above logical conditions are true.
df.ix[df['Fruit'].isin(fruitsInclude) & ~df['Vegetable'].isin(vegetablesExclude) & (df['Animal']=='Dog')]