new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]
new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]
slice dataframe pandas based on condition
# To slice pandas dataframe by condition
frioMurteira = data.loc[(data["POM"] == "Murteira") & (data["TMP"] > 7.2), ["DTM","TMP"]]
create the dataframe column based on condition
df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'
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