PYTHON BOKEH SCATTER PLOT INTERACTIVE HOW TO
PYTHON BOKEH SCATTER PLOT INTERACTIVE SERIES

It is helpful in finding the correlation between the two variables which are selected. I would want to have my data shown in either a interactive 3d scatter or wireframe with gradients, and a contour plot. I tried looking into Bokeh as well using the surface3d extension, but I have not been successful. _label_text_font_size = '16px'Ī Scatter plot is used for plotting values of two variables in a dataset. I have tried doing a contour plot with no luck, and I have only been able to plot my data using matplotlib as a 3d scatter as below. # whiskers (almost-0 height rects simpler than segments) gment(cats_1, lower.score, cats_1, q_1.score, line_color = 'black') gment(cats_1, upper.score, cats_1, q_3.score, line_color = 'black') Lower.score = ) for (x,y) in zip(list(q_min.loc), lower.score)] Upper.score = ) for (x,y) in zip(list(q_max.loc), upper.score)] # if no outliers, we will shrink the lengths of stems to be no longer than the minimums or maximums Plot1 = fig(tools = '', background_fill_color = '#efefef', x_range = cats_1, toolbar_location = None) # here, we will prepare outlier data to plot, we would be needing coordinates for every outlier.

Return group2) | (group2.score < lower.loc)] # now we will find the outliers for each category

# now, we will find the quartiles and IQR for each category

PYTHON BOKEH SCATTER PLOT INTERACTIVE SERIES

# generate some time series for six different categoriesĭata_frame = pnd.DataFrame(dict(score = y_y, group = g_1))

PYTHON BOKEH SCATTER PLOT INTERACTIVE HOW TO

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Python bokeh scatter plot interactive