You could alter the figsize by passing a tuple showing the width, height parameters you would like to keep. import matplotlib.pyplot as plt fig, ax = plt.subplots(figsize=(10,10)) # Sample figsize in inches sns.heatmap(df1.iloc[:, 1:6:], annot=True, linewidths=.5, ax=ax) EDIT I remember answering a similar question of yours where you had to set the index as TIMESTAMP. … Read more
It depends a bit on which seaborn function you are using. The plotting functions in seaborn are broadly divided into two classes “Axes-level” functions, including regplot, boxplot, kdeplot, and many others “Figure-level” functions, including relplot, catplot, displot, pairplot, jointplot and one or two others The first group is identified by taking an explicit ax argument … Read more
The lmplot function returns a FacetGrid instance. This object has a method called set, to which you can pass key=value pairs and they will be set on each Axes object in the grid. Secondly, you can set only one side of an Axes limit in matplotlib by passing None for the value you want to … Read more
Samuel Norman “Sam” Seaborn is a fictional character portrayed by Rob Lowe on the television serial drama The West Wing. So, it’s a joked initialism.
Imports and Sample DataFrame import matplotlib.pyplot as plt import pandas as pd import seaborn as sns # for sample data from matplotlib.lines import Line2D # for legend handle # DataFrame used for all options df = sns.load_dataset(‘diamonds’) carat cut color clarity depth table price x y z 0 0.23 Ideal E SI2 61.5 55.0 326 … Read more
Have you checked the Legend Guide? For practicality, I quote the example from the guide. Not all handles can be turned into legend entries automatically, so it is often necessary to create an artist which can. Legend handles don’t have to exists on the Figure or Axes in order to be used. Suppose we wanted … Read more
Unfortunately matplotlib 3.1.1 broke seaborn heatmaps; and in general inverted axes with fixed ticks. This is fixed in the current development version; you may hence revert to matplotlib 3.1.0 use matplotlib 3.1.2 or higher set the heatmap limits manually (ax.set_ylim(bottom, top) # set the ylim to bottom, top)
Updating slightly, with seaborn 0.11.1: Seaborn’s relplot function creates a FacetGrid and gives each subplot its own explanatory title. You can add a title over the whole thing: import seaborn as sns tips = sns.load_dataset(‘tips’) rp = sns.relplot(data=tips, x=’total_bill’, y=’tip’, col=”sex”, row=’smoker’, kind=’scatter’) # rp is a FacetGrid; # relplot is a nice organized way … Read more
As a quick example (using a slightly cleaner method than the potentially duplicate question): import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) ax.plot(range(10)) ax.set_xlabel(‘X-axis’) ax.set_ylabel(‘Y-axis’) ax.spines[‘bottom’].set_color(‘red’) ax.spines[‘top’].set_color(‘red’) ax.xaxis.label.set_color(‘red’) ax.tick_params(axis=”x”, colors=”red”) plt.show() Alternatively [t.set_color(‘red’) for t in ax.xaxis.get_ticklines()] [t.set_color(‘red’) for t in ax.xaxis.get_ticklabels()]
The imshow() function with parameters interpolation=’nearest’ and cmap=’hot’ should do what you want. Please review the interpolation parameter details, and see Interpolations for imshow and Image antialiasing. import matplotlib.pyplot as plt import numpy as np a = np.random.random((16, 16)) plt.imshow(a, cmap=’hot’, interpolation=’nearest’) plt.show()