熊猫-选择多列

您必须以一种或另一种方式指定您的条件。您可以为每种情况创建单独的蒙版，最终将其减少为单个蒙版：

import seaborn.apionly as sns
import operator
import numpy as np

# Load a sample dataframe to play with
df = sns.load_dataset('iris')

# Define individual conditions as tuples
# ([column], [compare_function], [compare_value])
cond1 = ('sepal_length', operator.gt, 5)
cond2 = ('sepal_width', operator.lt, 2)
cond3 = ('species', operator.eq, 'virginica')
conditions = [cond1, cond2, cond3]

# Apply those conditions on the df, creating a list of 3 masks
masks = [fn(df[var], val) for var, fn, val in conditions]
# Reduce those 3 masks to one using logical OR
mask = np.logical_or.reduce(masks)

result = df.ix[mask]

当我们将其与“手工制作”选项进行比较时，我们发现它们是相同的：

result_manual = df[(df.sepal_length>5) | (df.sepal_width<2) | (df.species == 'virginica')]
result_manual.equals(result) # == True