marker and color arguments correspond to using a 'o' to visually represent a data point and the respective color of that marker. This is seen again in the data argument in which it has been subsetted to correspond to a single season. There are now 4 plt.scatter() function calls corresponding to one of the four seasons.fontdict for the title, fontdictx for the x-axis and fontdicty for the y-axis. fontdict is a dictionary that can be passed in as arguments for labeling axes.This corresponds to a 15∗10 (length∗width) plot.
plt.rcParams = allows to control the size of the entire plot.Plt.ylabel("Count of Total Rental Bikes", fontdict=fontdicty) Plt.xlabel("Normalized temperature", fontdict=fontdictx) Plt.title('Bike Rentals at Different Temperatures\nBy Season', fontdict=fontdict, color="black") Winter = plt.scatter('temp', 'cnt', data=day=4], marker='o', color='blue') Summer = plt.scatter('temp', 'cnt', data=day=2], marker='o', color='orange')Īutumn = plt.scatter('temp', 'cnt', data=day=3], marker='o', color='brown')
Spring = plt.scatter('temp', 'cnt', data=day=1], marker='o', color='green') To overcome this, we need to specifically set the axes limits: import matplotlib.pyplot as plt Scatter has the particularity that matplotlib tries to make all points visible by default, which means that the axes limits are set such that all scatter points are visible as a whole. Adding a scatter plot import matplotlib.pyplot as pltĪx.scatter(,, c="r", s=2500) Im = ax.imshow(, ], origin="lower", extent=)īut here, you are using scatter. So, the following clearly works import matplotlib.pyplot as plt The problem is that all the solutions given at Matplotlib plots: removing axis, legends and white spaces are actually meant to work with imshow. Val_percentile=np.percentile(maxnsz, percRange, interpolation='nearest')Īll_percentiles=stats.rankdata(maxnsz)/len(maxnsz)įig = (frameon=False, dpi=600)
#SCATTER PLOT MATPLOTLIB REMOVE PLOT CODE#
Here is a basic form of the code I'm using that shows this behavior: import numpy as np If you have any advice (even if it is to ditch matplotlib and to try another plotting library instead) I would appreciate it! Matplotlib plots: removing axis, legends and white spacesīut nothing has worked in removing the white space.
#SCATTER PLOT MATPLOTLIB REMOVE PLOT HOW TO#
How to remove padding/border in a matplotlib subplot (SOLVED)
I have tried several methods from Google searches, including these StackOverflow methodologies: I have been able to remove axis, but the white padding around my image has to be completely removed (see example images from code below here: ). The problem is that this image cannot include axes or borders. I'm working with matplotlib to plot a variable in latitude longitude coordinates.
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