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# harpiechoise

Created Jan 23, 2021
View generics.rs
 pub trait Summary { fn sumarize(&self) -> String { format!("(Read more from {}...)", self.sumarize_author()) } fn sumarize_author(&self) -> String; } pub trait User { fn printUser(&self) -> (); }
Created Jan 13, 2021
View recursion.py
 # La función que se llama a si misma def contar(n, i=0): print(f"i: {i}") if i >= n: return return contar(n, i + 1) # acc # 0 + 0, i = 0, n = 4 -> suma(4, 0, 1) # 0 + 1, i = 1, n = 4 -> suma(4, 1, 2) # 1 + 2, i = 2, n = 4 -> suma(4, 3, 3)
Created Mar 28, 2020
View 2 Ejercicios.ipynb
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Created Jan 17, 2020
View La cosa del colab.ipynb
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Created Jul 11, 2019
View Textos.py
 import pandas as pd import numpy as np # Series s = pd.Series(['A', 'B', 'C', 'Casa', 'Vaca', np.nan, 'CABA', 'perro', 'gato']) # Llevamos las cadenas a minusculas s.str.lower() # 0 a # 1 b # 2 c # 3 casa
Created Jul 11, 2019
View Tablas pivote.py
 import pandas as pd import numpy as np # 24 Filas data = {'A': 'uno uno dos tres'.split(' ') * 6, 'B': 'A B C'.split(' ') * 8, 'C': 'Hola adios Como Estas Adios Estas'.split(' ') * 4, 'D': np.random.randint(0, 10, 24), 'E': np.random.randn(24), 'F': pd.date_range("10/11/2011", periods=24)}
Created Jul 11, 2019
View Multi indice.py
 import pandas as pd import numpy as np # Crear un multi index desde tuplas indices = [('Santiago', 2000), ('Santiago', 2010), ('California', 2000), ('California', 2010), ('New York', 2000), ('New York', 2010)] m_indice = pd.MultiIndex.from_tuples(indices) df = pd.DataFrame([33871648, 37253956, 18976457, 19378102, 20851820, 25145561], columns=['Poblacion'], index=m_indice) print(df)
Created Jul 11, 2019
View Merging.py
 import pandas as pd # Concatenacion a = pd.DataFrame({'Numero': [60, 30], 'Animal': ['Panda', 'Leon']}) b = pd.DataFrame({'Peso': [600, 120], 'Patas': [4, 4]}) # Concatenar en filas
Created Jul 10, 2019
View indices.py
 import numpy as np import pandas as pd # Importamos pandas bajo el pseudonimo # Rango de fechas 8 dias fechas = pd.date_range('27/2/2019', periods=8) # Creo un dataframe df = pd.DataFrame(np.random.random((8, 4)), index=fechas, columns=['A', 'B', 'C', 'D']) # Extraigo una Serie del dataframe
Created Jul 9, 2019
View Pandas Datos.py
 import pandas as pd # Importamos pandas bajo el seudonimo # Leer datos en CSV df = pd.read_csv('iris.csv') # Abrir un CSV con headers df.head(2) # Primeros 2 valores del dataset # sepal length in cm sepal width in cm ... # 0 5.1 3.5 # 1 4.9 3.0 df.tail(2) # Ultimos 5 valores del dataset