Ejemplo 1: Python cómo crear un marco de datos de Pandas a partir de varias listas
# Short answer:
# The simplest approach is to make a dictionary from the lists and then
# to convert the dictionary to a Pandas dataframe.
# Example usage:
import pandas as pd
# Lists you want to convert to a Pandas dataframe
months = ['Jan','Apr','Mar','June']
days = [31, 30, 31, 30]
# Make dictionary, keys will become dataframe column names
intermediate_dictionary = {'Month':months, 'Day':days}
# Convert dictionary to Pandas dataframe
pandas_dataframe = pd.DataFrame(intermediate_dictionary)
print(pandas_dataframe)
Month Day
0 Jan 31
1 Apr 30
2 Mar 31
3 June 30
Ejemplo 2: listas de marcos de datos de pandas como columnas
In [8]: data = pd.DataFrame({'x': x, 'sin(x)': y})
In [9]: data
Out[9]:
x sin(x)
0 0.000000 0.000000e+00
1 0.349066 3.420201e-01
2 0.698132 6.427876e-01
3 1.047198 8.660254e-01
4 1.396263 9.848078e-01
5 1.745329 9.848078e-01
6 2.094395 8.660254e-01
7 2.443461 6.427876e-01
8 2.792527 3.420201e-01
9 3.141593 1.224647e-16
[10 rows x 2 columns]
Ejemplo 3: cómo crear un marco de datos a partir de dos listas en Python
# Python 3 to get list of tuples from two lists
data_tuples = list(zip(Month,Days))
data_tuples
[('Jan', 31), ('Apr', 30), ('Mar', 31), ('June', 30)]
>pd.DataFrame(data_tuples, columns=['Month','Day'])
Month Day
0 Jan 31
1 Apr 30
2 Mar 31
3 June 30
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