seaborn 相关问题

Seaborn是一个基于matplotlib的Python可视化库。它的主要目标是提供一个简洁，高级的界面，用于绘制既有信息又有吸引力的统计图形。

如何更改标签距离x和y tick的距离，然后选择一种颜色到海洋热图中的注释

python annotations seaborn heatmap

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如何在Python

I发现了这个情节/图，我想在Python中重新创建它。感觉就像是带有固定标签之类的热图，但我认为应该有一个更好的解决方案。任何帮助或提示

python matplotlib plot seaborn diagram

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以防止TKINTER在选定帧中绘制/绘制的每个绘制图上打开图形？

#My Imports import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.dates as mdates from matplotlib.figure import Figure from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk) from matplotlib.backend_bases import key_press_handler import tkinter as tk import tkinter.ttk as ttk from tkinter import filedialog from datetime import datetime from PIL import ImageTk, Image import seaborn as sns from scipy.stats import linregress #Setting the TKinter window settings window = tk.Tk() screen_width = window.winfo_screenwidth() screen_height = window.winfo_screenheight() window.title("Data Visualizer - Plotting in TKinter") window.geometry(str(int(screen_width*.8))+"x"+str(int(screen_height*.8))) #A function so that selecting the graph doesn't auto plot def nullFunction(*args): print("nullFunction called") #Create test pd.DataFrame #Just something simple to visualize; more columns in actual data df = pd.DataFrame( {"time" : [0,1,2,3,4,5,6,7,8,9], "linear" : [0,1,2,3,4,5,6,7,8,9], "random" : [0,8,4,6,4,7,1,9,2,6], "inverse" : [9,8,7,6,5,4,3,2,1,0]} ) #List the various data columns to be selected later, don't list 'time' #Called on button press after df is created/uploaded def generate_List(): i = 0 listbox.delete('0','end') for column in df.columns: if column == 'time': pass else: listbox.insert(i,column) if (i%2) == 0: listbox.itemconfigure(i, background = '#f0f0f0') i = i+1 plt.ion() #make figure as its own element class FigureCreate: def __init__(self, figsize=(5, 5)): self.fig = plt.figure(figsize=figsize) def get_figure(self): return self.fig #make axes based on listbox selection class AxesCreate: def __init__(self, figure, position=(1, 1, 1)): self.ax = figure.add_subplot(*position) self.figure = figure def get_axes(self): return self.ax def get_fig(self): return self.figure #plot a preselected group of elements; not currently used class CanvasDraw: def __init__(self, axes): self.ax = axes def plot(self, x, y, label=''): self.ax.plot(x, y, label=label) def show(self): self.ax.legend() plt.show() #Called on button press after list is created def plotSet(*args): plt.close #Possibly redundant figure and axis creation methods fig_create = FigureCreate(figsize=(5,5)) fig = fig_create.get_figure() ax_create = AxesCreate(fig, position=(1,1,1)) ax = ax_create.get_axes() #canvas_draw = CanvasDraw(ax) selection = listbox.curselection() for trace in selection: sns.lineplot(data=df, x='time', y=df.columns[trace],ax=ax) #Vlines that will be adjustable after plot issues are solved plt.axvline(df['time'][2],color='green',linestyle='--') plt.axvline(df['time'][4],color='red',linestyle='--') return (ax_create.get_fig()) def plot_MC(fig): # Creating the Tkinter canvas containing the figure #THIS IS WHERE I THINK THE PROBLEM IS, BUT I'M NOT SURE #I thought this would make the canvas in the MC frame, but it seems to want a new plot since plotSet() is returning a figure #Is there a better way to plot specifically in the middle frame, and not force plotSet() to return anything? canvas = FigureCanvasTkAgg(fig, master=frame_MC) canvas.draw() # Placing the canvas on the Tkinter window canvas.get_tk_widget().grid(row=0, column=0) # Creating the Matplotlib toolbar toolbar = NavigationToolbar2Tk(canvas, frame_MC, pack_toolbar=False) toolbar.update() toolbar.grid(row=1, column=0) def are_you_sure(): """ Just a function that opens a message box to confirm window destruction """ if tk.messagebox.askyesno("Quit Dialog","Are you sure you want to quit the app?"): window.destroy() #MC 'Middle-Center' frame_MC = tk.Frame(window) #ML 'Middle-Left' list_frame=tk.Frame(window) listbox=tk.Listbox(list_frame, selectmode='multiple', height=30, width=30) listbox.bind('<<ListboxSelect>>', plotSet) scrollbar=tk.Scrollbar(list_frame, orient="vertical") listbox.config(yscrollcommand=scrollbar.set) scrollbar.config(command = listbox.yview) #TL 'Top-Left' frame_TL = tk.Frame(window) generate_list_button = tk.Button(frame_TL, text="generate list", command=generate_List, width=30) generate_list_button.grid(row=0, column=0, columnspan=3) plot_test_button = tk.Button(frame_TL, text="plot selection", command=plot_MC(plotSet())) plot_test_button.grid(row=1, column=0, columnspan=3) #BL 'Bottom-Left' frame_BL = tk.Frame(window) button_quit = tk.Button(master = frame_BL, text = "Quit", command = are_you_sure, bg = '#FF2222') button_quit.grid(row = 0, column = 0) #Placing elements frame_TL.grid(row=0, column = 0) frame_MC.grid(row = 1, column = 1) frame_BL.grid(row = 2, column = 0) list_frame.grid(row = 1, column = 0) listbox.pack(side = "left", fill = "y") scrollbar.pack(side = "right", fill = "y") #run the gui window.mainloop()

python matplotlib tkinter seaborn tkinter-canvas

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使用seaborn.color_palette

python matplotlib seaborn matplotlibpyplot

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-HeatMap错误：与DataFrame使用时，“非电视”对象无法调用

python seaborn heatmap

回答 2 投票 0

创建动画gif with imageio库python

python seaborn animated-gif

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3D散点图和投影KDE图