Can anyone help me out to restrict my dataframe for all the columns values between 0 to 100 in python:
if (df.loc[:,:] > 0) & (df.loc[:,:] < 100):
print(df)
else:
print('Data out of range')
Also, please find the dataframe df below:
Position Marks
5.7680 56.4000
5.7680 56.4000
5.7680 56.4000
5.7680 56.4000
7.2680 56.4000
5.7680 56.4000
5.7680 56.4000
5.7680
5.7680 56.4000
5.7680 56.4000
56.400
5.7680 56.4000
5.9680 56.4000
5.7680 56.4000
2.7680 56.4000
5.7680 56.4000
5.7680
5.7680 56.4000
5.7680 56.4000
5.7680 56.4000
df = pd.DataFrame({'birth_year': [1979, 50, 1977],
'Price': [2000, 300, 375] })
df[(0<df)&(df<100)]
should work. Df is just a example
Based on the new information provided, this is more correct
df = df[(0<df)&(df<100)]
sum_outside_0_100 = df.isna().sum().sum()
if sum_outside_0_100>0:
print("DATA OUT OF RANGE")
else:
print(df)
After clarifying question I've ended with this one line of code:
print("DATA OUT OF RANGE" if df[(0<df)&(df<100)].isnull().values.any() else df)
Now above solution should meet requirements.
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