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Updated · bytecodeman/PythonForJavaDevs@61b35f8 · GitHub

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  2. PythonForJavaDevs

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Commit 61b35f8

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John
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1 parent ef6b9a4 commit 61b35f8

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‎089 Numpy Views/main.py‎

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import numpy as np
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values = np.arange(16).reshape(4,4) * 10
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print(values)
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view = values[:, 1:3]
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print(view)
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view *= 0
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print(view)
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print(values)

‎090 Advanced Indexing with Lists/main.py‎

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import numpy as np
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values = np.arange(16).reshape(4, 4)
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print(values)
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print()
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print(values[[0, 2, 2, 3],[0, 0, 2, 1]])

‎091 Using Comparison Operators/main.py‎

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import numpy as np
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values = np.arange(16).reshape(4, 4)
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print(values)
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print()
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print(values % 2 == 0)

‎092 Boolean Indexing/main.py‎

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import numpy as np
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values = np.arange(16).reshape(4, 4)
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print(values)
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print()
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print(values[values % 5 == 0])
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rng = np.random.default_rng()
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numbers = rng.standard_normal(50)
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print(numbers.mean())
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positives = numbers[numbers < 0]
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print(positives.mean())

‎093 Loading Pandas Frames/main.py‎

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import pandas as pd
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df = pd.read_csv('exercises.csv', sep='\s*,\s*', index_col=0)
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print(df.columns)
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print(df.head())

‎094 Setting Column Names/main.py‎

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import pandas as pd
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df = pd.read_csv('exercises.csv', sep=',', index_col=0)
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df.columns = df.columns.str.strip()
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print(df.columns)
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print(df.head())

‎095 Referencing Cells/main.py‎

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import pandas as pd
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df = pd.read_csv('exercises.csv', sep=',', index_col=0)
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df.columns = df.columns.str.strip()
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df.at['Tue', 'Pushups'] = 40
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print("Monday squats", df.iat[0, 2])
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print(df)

‎096 Numpy-Style Referencing/main.py‎

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import pandas as pd
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df = pd.read_csv('exercises.csv', sep=',', index_col=0)
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df.columns = df.columns.str.strip()
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print(df)
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print(df.loc["Mon":"Sun":2])
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print(df.loc[["Fri", "Mon"], "Pushups":"Squats"])
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print(df.loc[:, "Pushups":"Squats"])
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print(df.iloc[:, 1:3])

‎097 Loading Data from Dictionaries/main.py‎

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import pandas as pd
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data = {
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"Mon":[1, 2, 3],
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"Tue":[0.1, 0.2, 0.3],
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"Wed":[5, 6, 7],
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}
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df = pd.DataFrame(data)
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print(df)

‎098 Modifying Data/main.py‎

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import pandas as pd
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import numpy as np
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data = {
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"Mon":[1, 2, 3],
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"Tue":[0.1, 0.2, 0.3],
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"Wed":[5, 6, 7],
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}
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df = pd.DataFrame(data, index=["Coffee", "Tea", "Water"])
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print(df)
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print()
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df *= 3.0
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print(df)
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print()
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df = np.sin(df)
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print(df)
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df.loc["Coffee":"Tea"] -= 100
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print(df)

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