python - Creating Pandas Dataframe between two Numpy arrays, then draw scatter plot -


i'm relatively new numpy , pandas (i'm experimental physicist i've been using root years...). common plot in root 2d scatter plot where, given list of x- , y- values, makes "heatmap" type scatter plot of 1 variable versus other.

how best accomplished numpy , pandas? i'm trying use dataframe.plot() function, i'm struggling create dataframe.

import numpy np import pandas pd x = np.random.randn(1,5) y = np.sin(x) df = pd.dataframe(d)

first off, dataframe has shape (1,2), have shape (5,2). if can dataframe right shape, i'm sure can figure out dataframe.plot() function draw want.

there number of ways create dataframes. given 1-dimensional column vectors, can create dataframe passing dict keys column names , values 1-dimensional column vectors:

import numpy np import pandas pd x = np.random.randn(5) y = np.sin(x) df = pd.dataframe({'x':x, 'y':y}) df.plot('x', 'y', kind='scatter')

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