Python load_pandas Beispiele

Beispiel #1

def test_plot_corr(close_figures):
    hie_data = randhie.load_pandas()
    corr_matrix = np.corrcoef(hie_data.data.values.T)

    plot_corr(corr_matrix, xnames=hie_data.names)

    plot_corr(corr_matrix, xnames=[], ynames=hie_data.names)

    plot_corr(corr_matrix, normcolor=True, title='', cmap='jet')

Beispiel #2

Datei: test_correlation.py Projekt: haribharadwaj/statsmodels

def test_plot_corr_grid(close_figures):
    hie_data = randhie.load_pandas()
    corr_matrix = np.corrcoef(hie_data.data.values.T)

    plot_corr_grid([corr_matrix] * 2, xnames=hie_data.names)

    plot_corr_grid([corr_matrix] * 5, xnames=[], ynames=hie_data.names)

    plot_corr_grid([corr_matrix] * 3, normcolor=True, titles='', cmap='jet')

Beispiel #3

Datei: test_correlation.py Projekt: BranYang/statsmodels

def test_plot_corr():
    hie_data = randhie.load_pandas()
    corr_matrix = np.corrcoef(hie_data.data.values.T)

    fig = plot_corr(corr_matrix, xnames=hie_data.names)
    plt.close(fig)

    fig = plot_corr(corr_matrix, xnames=[], ynames=hie_data.names)
    plt.close(fig)

    fig = plot_corr(corr_matrix, normcolor=True, title='', cmap='jet')
    plt.close(fig)

Beispiel #4

Datei: test_correlation.py Projekt: AnaMP/statsmodels

def test_plot_corr_grid():
    hie_data = randhie.load_pandas()
    corr_matrix = np.corrcoef(hie_data.data.T)

    fig = plot_corr_grid([corr_matrix] * 2, xnames=hie_data.names)
    plt.close(fig)

    fig = plot_corr_grid([corr_matrix] * 5, xnames=[], ynames=hie_data.names)
    plt.close(fig)

    fig = plot_corr_grid([corr_matrix] * 3, normcolor=True, titles='', cmap='jet')
    plt.close(fig)

Beispiel #5

Datei: test_correlation.py Projekt: yarikoptic/pystatsmodels

def test_plot_corr():
    hie_data = randhie.load_pandas()
    corr_matrix = np.corrcoef(hie_data.data.T)

    fig = plot_corr(corr_matrix, xnames=hie_data.names)
    plt.close(fig)

    fig = plot_corr(corr_matrix, xnames=[], ynames=hie_data.names)
    plt.close(fig)

    fig = plot_corr(corr_matrix, normcolor=True, title='', cmap='jet')
    plt.close(fig)

Beispiel #6

def test_plot_corr_grid():
    hie_data = randhie.load_pandas()
    corr_matrix = np.corrcoef(hie_data.data.values.T)

    fig = plot_corr_grid([corr_matrix] * 2, xnames=hie_data.names)
    plt.close(fig)

    fig = plot_corr_grid([corr_matrix] * 5, xnames=[], ynames=hie_data.names)
    plt.close(fig)

    fig = plot_corr_grid([corr_matrix] * 3,
                         normcolor=True,
                         titles='',
                         cmap='jet')
    plt.close(fig)