Reputation: 18859
I want to find a method in seaborn or statsmodels with the ability produce scatterplot matrices as lag.plot1
in r. I could implement a simple version as following:
In [74]: def lag_plot1(x, nrow, ncol):
...: import matplotlib.pyplot as plt
...: fig, axs = plt.subplots(nrow, ncol, figsize=(3*ncol, 3*nrow))
...: for row in range(nrow):
...: for col in range(ncol):
...: offset = row*ncol + col + 1
...: axs[row][col].scatter(x[offset:], x[:-offset], marker='o')
...: axs[row][col].set_ylabel('x(t)')
...: axs[row][col].set_title('x(t-%d)' % offset)
...: return fig
...:
In [75]: lag_plot1(recur, 4, 3)
Upvotes: 1
Views: 193
Reputation: 22897
There is a lag_plot
in pandas http://pandas.pydata.org/pandas-docs/stable/visualization.html#lag-plot but it doesn't plot the grid of plots for different lags, AFAICS.
statsmodels doesn't have a lag_plot, but there are still open issues to add more plots to support model diagnostics.
Upvotes: 1