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#### Tuple creation ##### | |
# Create a tuple, also called tuple packing. | |
numbers = 1, 2 | |
print(numbers) # Output: (1, 2) <- Note that it is represented with an enclosing paranthesis | |
# Create tuple with paranthesis. | |
numbers = (1, 2, 3) | |
print(numbers) # Output: (1, 2, 3) | |
# Create an empty tuple. | |
numbers = () | |
print(numbers) # Output: () |
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import numpy as np | |
import pandas as pd | |
#### creating dataframes, adding and dropping columns | |
df = pd.DataFrame(np.arange(1,10).reshape(3,3),['A','B','C'],['w','x','y']) | |
df.columns = ['W','X','Y'] # change column names | |
df['Z']=df['X']+df['Y'] # new column with values X+Y | |
df['XX']=df.apply(lambda row: row['X']*2, axis=1) # new column with values twice of column X | |
df['YY']=1 # new column of ones |
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import numpy as np | |
import pandas as pd | |
#### creating dataframes, adding and dropping columns | |
df = pd.DataFrame(np.arange(1,10).reshape(3,3),['A','B','C'],['w','x','y']) | |
df.columns = ['W','X','Y'] # change column names | |
df['Z']=df['X']+df['Y'] # new column with values X+Y | |
df['XX']=df.apply(lambda row: row['X']*2, axis=1) # new column with values twice of column X | |
df['YY']=1 # new column of ones |