check if column exists in dataframe
if 'A' in df.columns:check if column exists in dataframe
if 'A' in df.columns:finding the rows in a dataframe where column contains any of these values python
import pandas as pd
data = {'Month': ['January','February','March','April','May','June','July','August','September','October','November','December'],
'Days in Month': [31,28,31,30,31,30,31,31,30,31,30,31]
}
df = pd.DataFrame(data, columns = ['Month', 'Days in Month'])
contain_values = df[df['Month'].str.contains('Ju')]
print (contain_values)pandas look for values in column with condition
# The common syntax is df.loc[], the condition is put in the bracket
#Eg, look for rows with column1 > 5 and column2 = 3
df.loc[(df['column_1'] > 5) & (df['column_2'] = 3)]check if value is in series pandas
In [21]: s.unique()
Out[21]: array(['a', 'b', 'c'], dtype=object)
In [22]: 'a' in s.unique()
Out[22]: TrueCopyright © 2021 Codeinu
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