python multiple conditions in dataframe column values
df.loc[(df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')),['Name','FT_Team']]python multiple conditions in dataframe column values
df.loc[(df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')),['Name','FT_Team']]pandas two dataframes equal
>>> df = pd.DataFrame({1: [10], 2: [20]})
>>> exactly_equal = pd.DataFrame({1: [10], 2: [20]}) # Note the same as above
>>> df.equals(exactly_equal)
True
# Two are the same hence true. If not would be falseCopyright © 2021 Codeinu
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