我在 R 和 Python Pandas 方面经验丰富。我正在尝试索引 DataFrame 以检索满足一组多个逻辑条件的行 - 很像 SQL 的“where”语句。
我知道如何在 R 中使用数据框(以及 R 的 data.table 包,它更像是 Pandas DataFrame 而不是 R 的本机数据框)。
这是一些构建 DataFrame 的示例代码以及我希望如何对其进行索引的描述。是否有捷径可寻?
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意见!
谢谢,兰德尔