How to format seaborn/matplotlib axis tick labels from number to thousands or Millions? (125,436 to 125.4K)

Question

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 custom format? For example, 125000 to 125.00K

Answer 1

IIUC you can format the xticks and set these:

In[60]: #generate some psuedo data df = pd.DataFrame({'num':[50000, 75000, 100000, 125000], 'Rent/Sqft':np.random.randn(4), 'Region':list('abcd')}) df  Out[60]:        num  Rent/Sqft Region 0   50000   0.109196      a 1   75000   0.566553      b 2  100000  -0.274064      c 3  125000  -0.636492      d  In[61]: 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", 4) g = sns.scatterplot(ax=ax, x="num", 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)) xlabels = ['{:,.2f}'.format(x) + 'K' for x in g.get_xticks()/1000] g.set_xticklabels(xlabels)  Out[61]:  

The key bit here is this line:

xlabels = ['{:,.2f}'.format(x) + 'K' for x in g.get_xticks()/1000] g.set_xticklabels(xlabels) 

So this divides all the ticks by 1000 and then formats them and sets the xtick labels

UPDATE Thanks to @ScottBoston who has suggested a better method:

ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: '{:,.2f}'.format(x/1000) + 'K')) 

see the docs