pandas count values by rows

So I have a dataframe like this, and I want to find how many students have more than two school experiences.

df["Name","Primary school","Middle school","High School"].isnull()

We can use df.count_value() to get the column summary, but how could I get sum value of rows?

desired output

df["Enough Experience?"]= #code

>Solution :

Use:

print (df)
   Name  Primary school  Middle school  High School
0  Alex             1.0            NaN          NaN
1  Peng             1.0            NaN          2.0
2    Hu             2.0            7.0          0.0
3  John             NaN            NaN          NaN


# test at least 1 missing values 
cols = ["Primary school","Middle school","High School"]
df["Enough Experience?1"] = ~df[cols].isnull().any(axis=1)
# test at least 1 missing values 
df["Enough Experience?2"] = df[cols].isnull().any(axis=1)

# test at least 2 missing values per rows with `sum`
df["Enough Experience?3"] = df[cols].isnull().sum(axis=1).lt(2)
df["Enough Experience?4"] = df[cols].count(axis=1).ge(2)
print (df)
   Name  Primary school  Middle school  High School  Enough Experience?1  \
0  Alex             1.0            NaN          NaN                False   
1  Peng             1.0            NaN          2.0                False   
2    Hu             2.0            7.0          0.0                 True   
3  John             NaN            NaN          NaN                False   

   Enough Experience?2  Enough Experience?3  Enough Experience?4  
0                 True                False                False  
1                 True                 True                 True  
2                False                 True                 True  
3                 True                False                False