如果要在Python中比较两个数据框的条件 [英] If condition for comparison between two dataframes in Python

问题描述

是python编程的新手.任何人都可以检查下面的语法是否满足条件-

Am new to python programming. Can anyone pls check the below syntax for if condition-

if df1[A]<= df2[B]):
       print("")
else:
       print("")

获取此异常- ValueError:系列的真值不明确.使用a.empty，a.bool()，a.item()，a.any()或a.all().

推荐答案

您比较数组，没有标量，因此Camparing的输出是另一个数组.因此需要 any 或

You compare arrays, no scalar, so output of camparing is another array. So need any or all. Also need length of both Series is same:

df1 = pd.DataFrame({'A':[1,2,3]})
print (df1)
   A
0  1
1  2
2  3

df2 = pd.DataFrame({'B':[1,2,0]})
print (df2)
   B
0  1
1  2
2  0

print (df1['A']<= df2['B'])
0     True
1     True
2    False
dtype: bool

#check if at least one True
print ((df1['A']<= df2['B']).any())
True

#check if all values are True
print ((df1['A']<= df2['B']).all())
False

if (df1['A']<= df2['B']).any():
       print("at least one value True")
else:
       print("no False values")
at least one value True

if (df1['A']<= df2['B']).all():
       print("all values True")
else:
       print("not all values True")

not all values True

---

df1 = pd.DataFrame({'A':[1,2,3]})
print (df1)
   A
0  1
1  2
2  3

df2 = pd.DataFrame({'B':[1,2,3]})
print (df2)
   B
0  1
1  2
2  3

print (df1['A']<= df2['B'])
0    True
1    True
2    True
dtype: bool

#check if at least one True
print ((df1['A']<= df2['B']).any())
True

#check if all values are True
print ((df1['A']<= df2['B']).all())
True

if (df1['A']<= df2['B']).any():
       print("at least one value True")
else:
       print("no False values")

at least one value True

if (df1['A']<= df2['B']).all():
       print("all values True")
else:
       print("not all values True")

all values True

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