I have a dataset which I cannot share. So, I will share the statistics of it and may be that will help you create a dummy dataset on your own. Dataframe has a column (say ‘Col’) with values either from this list [‘PO101′,’NI101′,’NE101’]. Count is: PO101 = 30000 NI101 = 5000 NE101 = 3000 I ..
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. ..
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 ..
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 ..
By default they are leftwise located. Is there any easy possibility to change the alignment or relative position of the figure? For example I want to have my plt plot located in the center of the jupyter output cell and not at the left-side. Something like ax.set_align="center" would be nice. Source: Python..
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..
I have following 3d plot with Matplotlib. I want to extend frame limit within the figure to the widget edge as shown below. How could that be achieved? The code: import numpy as np import matplotlib.pyplot as plt N1 = 10 N2 = 10 N3 = 10 ma = np.random.choice([0,1], size=(N1,N2,N3), p=[0.99, 0.01]) fig = ..
I have following 3d plot with Matplotlib. I want to extend frame limit within the figure to the widget edge as shown below. How could that be achieved? The code: from mpl_toolkits.mplot3d import Axes3D import numpy as np import matplotlib.pyplot as plt N1 = 10 N2 = 10 N3 = 10 ma = np.random.choice([0,1], size=(N1,N2,N3), ..
what is wrong with my subplots in Python ? I need to have 2 plots with data. plt.subplot(2,1,1) to_plot.plot(kind = "bar", color = "darkred") plt.subplot(2,1,2) to_plot.plot(kind = "line", color = "darkred") plt.show() Source: Python..
I want to retrieve the figure coordinates of one scatter point and set a second point exactly at that point – solely based on figure coordinates and not on axes or data coordinates. My approach, to plot the red cross (last line) on top of the blue point, does not work yet: import matplotlib.pyplot as ..