I’m getting all nans and the following error message when I try to take a slice of my data for a plot: f"invalid indexer array, does not have integer dtype: {k!r}" My data set includes monthly values, from the year 2000 to 2015 and I’d like to take the monthly data only from 2005. The ..

#### Category : plot

I have a dataframe look like this:- df1.set_index(‘date’, inplace=True) date symbol roe 2019-12-31 FMC 21.2189 2018-12-31 FMC 16.7456 2017-12-31 FMC -4.9167 2016-12-31 FMC 6.5580 2015-12-31 FMC -11.1408 2014-12-31 FMC 19.6675 2013-12-31 FMC 23.6372 2012-12-31 FMC 29.7916 2011-12-31 FMC 32.2291 2010-12-31 FMC 18.3737 2009-12-31 FMC 22.6811 2008-12-31 FMC 35.8547 2007-12-31 FMC 15.6253 2006-12-31 FMC 14.2645 2005-12-31 ..

I have create a plot with matplotlib with two curve s1 and s2 with this code : "plt.plot(t, s1, t, s2)" I am trying to combine this plot with this one : "plt.cohere(s1, s2, 256, 1. / dt)" Can someone know how to do that ? Source: Python..

I want to plot a scatter plot in pandas and it runs fine. But after I add the legend, it runs really slow and got stuck. Can anyone help me, please? fcdp_data_100HZ[[‘Second’,’totCNTs’]].plot.scatter(x="Second", y="totCNTs",color=’royalblue’,s=100,alpha=0.5, ax=axes[1]) axes[1].set_title("Counts") axes[1].grid() axes[1].set_ylim([1,100]) axes[1].set_yscale(‘log’) axes[1].set_ylabel("Counts") axes[1].legend([‘100HZ’]) fcdp_data_20HZ[[‘Second’,’totCNTs’]].plot.scatter(x="Second", y="totCNTs",color=’coral’, s=100,alpha=0.5, ax=axes[1]) axes[1].set_title("Counts") axes[1].grid() axes[1].set_ylim([1,100]) axes[1].set_yscale(‘log’) axes[1].set_ylabel("Counts") axes[1].legend([’20HZ’]) fcdp_data_1HZ[[‘Second’,’totCNTs’]].plot.scatter(x="Second", y="totCNTs",color=’darkslategrey’,s=100,alpha=0.5, ax=axes[1]) axes[1].set_title("Counts") axes[1].grid() ..

I am taking in live ECG data (for now being simulated) and processing that data, then live plotting it. My line plots are successfully being plotted and updating, while after far too many hours of searching(I am a beginner unfortunately) I was finally able to at least get the scatter plot data to initially plot, ..

I have this function that will make an animated video of scatter plots. Although, the videos are not correct and do not correspond to the plots that should be getting snapped. Instead of capturing all the plots, it seems that the video is only the last plot. def plotting(df,food,N): # intialize camera to be fixed ..

I’m generating plot with matplotlib, saving them with matplotlib.savefig(), thoses figures are large, the size fixed is (155,3) and the DPI that i fixed is 300. i confused a bit in generating and croping thoses images. can you help me ? thanks ðŸ˜€ Source: Python..

I have a shapefile with pipelines and need to plot it in plotly. The pipelines have linestrings geometry, I can plot it by extracting all the linestrings into a list separated by None. My code is as follows: import numpy as np import shapely.geometry import plotly.express as px import geopandas as gpd lats = [] ..

I have 50 datasets and I want to plot all the correlations of each one of them in the same figure. But I don’t want to make a grid of them instead, I’m imagining this as an interactive figure (with buttons or a menu) that you can choose which of the plot (dataset) you will ..

I want to achieve the following. I have a x-y plot with a function y dependent on x. The plot consists of a mesh of squares. When a function point is inside the function block, the block changes color. I have attached an example. . I want to make an simillar figure, but I want ..

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