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Other 2021-10-24 15:18:16
min max normalization in pandas dataframe
# copy the data df_min_max_scaled = df.copy() # apply normalization techniques for column in df_min_max_scaled.columns: df_min_max_scaled[column] = (df_min_max_scaled[column] - df_min_max_scaled[column].min()) / (df_mi... Add solution -
Python 2021-10-23 14:25:06
add a new categorical column to an existing table python
d = df.groupby('Item_Identifier')['Sales'].mean().to_dict() print (d) {'Beef': 3030.0, 'Milk': 1233.3333333333333, 'Tea': 150.0} print (df['Item_Identifier'].map(d)) 0 1233.333333 1 1233.333333 2 1233.333333 3 3030.000000 4 3030.000000 5 ... Add solution -
Python 2021-10-14 02:51:10
find min and max from dataframe column
max_value = column.max() Add solution -
Python 2021-09-27 20:48:05
python - extract min and max values per each column name
# show me the column names --> predictors cols = [x for in df.columns if not in ('resp_var', 'name')]; cols # extract the min and max values per each predictors print("{") for i, name in enumerate(cols): print(f'"{name}":{{&qu... Add solution
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