The correct way to set the xticklabels for sns.catplot, according to the documentation, is with the .set_xticklabels method (.e.g. g.set_xticklabels(rotation=30)). Using a loop to iterate through the Axes, should be used if changes need to be made on a plot by plot basis, within the FacetGrid. Building structured multi-plot grids seaborn.FacetGrid g or in the … Read more
Additional lines include a vertical line, a horizontal line, a line connecting two or more pairs of dates and prices, and a trend line. Here is an example of simply drawing a line with date and price. Please refer to this page for more details. import datetime import pandas as pd import pandas_datareader.data as web … Read more
The code you show does not represent the equation of the ellipse. It’s a bit hard to tell what exactly you were trying in that code, but the approach here is of course completely the same as in the linked question’s answer, namely to calculate the left hand side of the equation with a meshgrid … Read more
Since you already have binned data, just use pyplot.errorbar or add yerr kwarg to bar plot from matplotlib import pyplot as plt plt.errorbar( [n/len(bins) for n, x in enumerate(bins)], [x[0][0] for x in bins], yerr = [x[0][1]**0.5 for x in bins], marker=”_”, fmt=”.”) plt.bar( [n/len(bins) for n, x in enumerate(bins)], [x[0][0] for x in bins], … Read more
Given this dataframe: df.head() complete mid_c mid_h mid_l mid_o time 0 True 0.80936 0.80943 0.80936 0.80943 2018-01-31 09:54:10+00:00 1 True 0.80942 0.80942 0.80937 0.80937 2018-01-31 09:54:20+00:00 2 True 0.80946 0.80946 0.80946 0.80946 2018-01-31 09:54:25+00:00 3 True 0.80942 0.80942 0.80940 0.80940 2018-01-31 09:54:30+00:00 4 True 0.80944 0.80944 0.80944 0.80944 2018-01-31 09:54:35+00:00 Create a 50 moving average: … Read more
It’s here: def preos(molecule, T, P, plotcubic=True, printresults=True): Tr = T / molecule.Tc # reduced temperature … preos(“methane”, 160, 10, “true”, “true”) You’re clearly passing “methane” into the preos function as a string, then trying to call .Tc on that string. The error is saying exactly that. This doesn’t have anything to do with IPython. … Read more
As I understand, img1 and img2 are matrices containing all the pixels of two images. Suppose: img1 = x x x x x x x x x img2 = o o o o o o o o Output is a matrix whose height is the highest between img1 and img2 and whose width is the … Read more
Latest stable release is 3.4.2. A simple update will do it 1 solved How do I check when CenteredNorm was included in Matplotlib? And hence if it is available in Matplotlib 3.3.2
Problem solved. It turned out that my version of libpng was looking for the older version of zlib. I reinstalled(updated) libpng and things are working correctly now. solved Issue with loading python matplotlib
It is probably because when you use nrows=1, the axis dimension will also become 1. So, for example, instead of axes[0, 2], you might try to use simply axes[2]. solved How to separate plots better? [closed]
Step 1: Find the version of Python that you are using (Is it 2.7 or 3.5 or any other?) Step 2: Click on this link and find ‘Matplotlib’. http://www.lfd.uci.edu/~gohlke/pythonlibs/#pip Download the .whl according to the version of python you are using.Here, I have shown for version 2.7 Step 3: Copy the .whl and place it … Read more
import csv from pandas import read_csv filename=”Left.csv” data = read_csv(filename) print(data.shape) #renaming existing columns data.rename(columns={‘epoc (ms)’: ‘epoc’, ‘timestamp (-04:00)’: ‘timestamp’, ‘elapsed (s)’: ‘elapsed’ , ‘x-axis (g)’: ‘xaxis’, ‘y-axis (g)’ : ‘yaxis’ , ‘z-axis (g)’ : ‘zaxis’}, inplace=True) from matplotlib import pyplot data.hist() data.plot(kind=’density’, subplots=True, layout=(3,3), sharex=False) from pandas.plotting import scatter_matrix scatter_matrix(data) pyplot.show() X = dataset[: … Read more
Matplotlib provides an object oriented API. This means that all the elements of the figure are acutally objects for which one can get and set properties and which can be easily manipulated. This makes matplotlib really flexible such that it can produce almost any plot you’d imagine. Since a plot may consist of a hundred … Read more
This is a minimal working example for showing a histogram. It only solves part of your question, but it can be a step towards your goal. Note that the histogram function gives you the values at the two corners of the bin and you have to interpolate to get the center value. import numpy as … Read more
Is this what you want?, try adding the below lines of code to your code: plt.xticks(rotation=90) plt.gca().margins(x=0) plt.gcf().canvas.draw() tl = plt.gca().get_xticklabels() maxsize = max([t.get_window_extent().width for t in tl]) m = 0.2 # inch margin s = maxsize/plt.gcf().dpi*150+2*m margin = m/plt.gcf().get_size_inches()[0] plt.gcf().subplots_adjust(left=margin, right=1.-margin) plt.gcf().set_size_inches(s, plt.gcf().get_size_inches()[1]) 4 solved Matplotlib spacing in xaxis