def test_bokeh_matplot():
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, None]]).astype(float)
a[1, 1] = None
data = np.array(np.unravel_index(range(9), a.shape) + (a.ravel(), )).T
df = pd.DataFrame(data, columns=['i', 'j', 'data'])
bokeh.plotting.output_file('test_matplot.html')
# Numerical x-axis
p_numerical = bebi103.bokeh_matplot(df,
'i',
'j',
'data',
n_colors=9,
colormap='RdBu_r',
plot_width=200,
plot_height=200)
# Categorical x-axis, i.e. column indices (labels are strings)
df.j = df.j.astype(str)
p_categorical = bebi103.bokeh_matplot(df,
'i',
'j',
'data',
n_colors=9,
colormap='RdBu_r',
plot_width=200,
plot_height=200)
bokeh.plotting.show(bokeh.io.vplot(p_categorical, p_numerical))
y_n = input('Visual inspection ok? (X-Axis -> Top: above, Bottom: below)')
if y_n in ['y', 'Y', '1']:
return True
else:
return False
def test_bokeh_matplot():
a = np.array([[1, 2, 3],[4, 5, 6],[7, 8, 9]])
data = np.array(np.unravel_index(range(9), a.shape) + (a.ravel(),)).T
df = pd.DataFrame(data, columns=['i', 'j', 'data'])
bokeh.plotting.output_file('test_matplot.html')
p = bebi103.bokeh_matplot(df, 'i', 'j', 'data', n_colors=9,
colormap='RdBu_r', plot_width=200,
plot_height=200)
bokeh.plotting.show(p)
y_n = input('Visual inspection ok? ')
if y_n in ['y', 'Y', '1']:
return True
else:
return False
def test_bokeh_matplot():
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, None]]).astype(float)
a[1, 1] = None
data = np.array(np.unravel_index(range(9), a.shape) + (a.ravel(),)).T
df = pd.DataFrame(data, columns=['i', 'j', 'data'])
bokeh.plotting.output_file('test_matplot.html')
# Numerical x-axis
p_numerical = bebi103.bokeh_matplot(df, 'i', 'j', 'data', n_colors=9,
colormap='RdBu_r', plot_width=200,
plot_height=200)
# Categorical x-axis, i.e. column indices (labels are strings)
df.j = df.j.astype(str)
p_categorical = bebi103.bokeh_matplot(df, 'i', 'j', 'data', n_colors=9,
colormap='RdBu_r', plot_width=200,
plot_height=200)
bokeh.plotting.show(bokeh.io.vplot(p_categorical, p_numerical))
y_n = input('Visual inspection ok? (X-Axis -> Top: above, Bottom: below)')
if y_n in ['y', 'Y', '1']:
return True
else:
return False
def test_bokeh_matplot():
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
data = np.array(np.unravel_index(range(9), a.shape) + (a.ravel(), )).T
df = pd.DataFrame(data, columns=['i', 'j', 'data'])
bokeh.plotting.output_file('test_matplot.html')
p = bebi103.bokeh_matplot(df,
'i',
'j',
'data',
n_colors=9,
colormap='RdBu_r',
plot_width=200,
plot_height=200)
bokeh.plotting.show(p)
y_n = input('Visual inspection ok? ')
if y_n in ['y', 'Y', '1']:
return True
else:
return False
