python pie chart colors

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Python + Flask + bootstarp Generate analytic chart

directly on the code: view.py#-------------------------------------1User_question_data = []2 forUinchUsers:3Color=color_lib[random.randint (0, (Len (Color_lib))-1)]4U.question_num = Db_session.query (question). Filter (question.user_id==u.id). Count ()5User_question_data.append ({"value": U.question_num,"Color": Color,"label": U.username})6 Print(Json.dumps (user_question_data))7 #Print (Jsonify (Json.dumps (user_question_data)))8 returnRender_template ('m_analysis.html', U_q_da

[Python Tutorial] create a beautiful bar chart

= RibbonBoxImage (bbox, bc, interpolation = "bicubic") ax. add_artist (rb_patch) ax. annotate (h, (year, h), va = "bottom", ha = "center") ax. set_title ('The Price of cart') patch_gradient = BboxImage (ax. bbox, interpolation = "bicubic", zorder = 0.1,) gradient = np. zeros (2, 2, 4), dtype = np. float) gradient [:,:,: 3] = [1, 1, 0.] gradient [:,:, 3] = [[0.1, 0.3], [0.3, 0.5] patch_gradient.set_array (gradient) ax. add_artist (patch_gradient) ax. set_xlim (years [0]-0.5, years [-1] + 0.5) ax

Python Notes #11 # Chart customization

downtrend): it can be clearly found that, if the band trader as a medium-term, It is much better to use the logarithmic coordinate trend line to judge the trend end and the reverse pumping position than to use the normal coordinates in time. The principle of common coordinates and logarithmic coordinates shows that the difference between common and logarithmic coordinates in short period is very small, but the common coordinate and logarithmic coordinate may differ greatly in the long period, s

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