Category : matplotlib

teamDamageAdata = self.getTeamsDamage("A") teamDamageA = plt.figure(figsize=(100, 100), dpi=1) plt.style.use(‘dark_background’) teamDamageAdata = pd.DataFrame(teamDamageAdata) teamDamageAdata.plot(kind="barh", color=("w","r","b"), legend=None, stacked=True, mark_right=True) plt.axis(‘off’) plt.tight_layout() plt.show() #screenshots with and without teamDamageALabel = FigureCanvasTkAgg(teamDamageA, master=Stats) matplot output: (good) enter image description here tkinter output: (missing plot) enter image description here My goal is to get the output seen in matplot into tkinter. ..

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Im having trouble figuring out why line 51 (ax.plot(xInterp0, yValue0, ‘–‘, color = ‘r’)) is not plotting. Line 43 (ax.scatter(xData0, yData0, color = ‘k’)) and line 46 (ax. plot(xInterp0, yInterp0)) plotted without a problem. Ive used print statements to verify that both xInterp0 and yValue0 have real values stored in the array, and they do ..

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I have created with the help of the following notebook: https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.ipynb A script which trains an Azure Auto ML Model for forecasting temperature data coming from IoT Sensors. All steps works perfectly fine, however there is a missing step what I want to do visually: Put in the same line chart real data and predicted ..

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I have a dataframe like this, named table. I want to have a stacked histogram where the x is the index. table, ax = plt.subplots(figsize=(7, 5)) sns.despine(table) sns.histplot( table, x="index", multiple="stack", hue= [‘btc’,’bnb’,’eth’,’xmr’,’xrp’], palette="light:m_r", edgecolor=".3", linewidth=.5, log_scale=True, ) It shows ”TypeError: argument of type ‘Figure’ is not iterable” Source: Python..

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