I recently upgraded my laptop to Snow Leopard, updated TeX to Version 3.1415926 (TeX Live 2011/MacPorts 2011_5), and installed Python 2.7.3. After all these installs, I ran macport selfupdate and macport upgrade outdated. However, now when I try to use TeX in matplotlib, I receive the following:
import matplotlib.pyplot as plt import matplotlib.ticker as ticker import seaborn as sns import pandas as pd sns.set(style="darkgrid") fig, ax = plt.subplots(figsize=(8, 5)) palette = sns.color_palette("bright", 6) g = sns.scatterplot(ax=ax, x="Area", y="Rent/Sqft", hue="Region", marker='o', data=df, s=100, palette= palette) g.legend(bbox_to_anchor=(1, 1), ncol=1) g.set(xlim = (50000,250000)) How can I can change the axis format from a number to … Read more
I’ve got pandas DataFrame, df, with index named date and the columns columnA, columnB and columnC
I want to make 3D animation with matplotlib, but I don’t know how to. Here is my non-working code.
I’m doing some 3D surface plots using Matplotlib in Python and have noticed an annoying phenomenon. Depending on how I set the viewpoint (camera location), the vertical (z) axis moves between the left and right side. Here are two examples: Example 1, Axis left, Example 2, Axis right. The first example has ax.view_init(25,-135) while the second has ax.view_init(25,-45).
In Python, given a N_1 x N_2 x N_3 matrix containing either 0s or 1s, I would be looking for a way to display the data in 3D as a N_1 x N_2 x N_3 volume with volumic pixels (voxels) at the location of 1s.
I have dataframe like this:
I have a data set with huge number of features, so analysing the correlation matrix has become very difficult. I want to plot a correlation matrix which we get using dataframe.corr() function from pandas library. Is there any built-in function provided by the pandas library to plot this matrix?
Simple question here: I’m trying to get the size of my legend using matplotlib.pyplot to be smaller (i.e., the text to be smaller). The code I’m using goes something like this:
