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- #46 Text annotation
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- #46 Text annotation
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- #46 Use loop to add text annotation
- Basic scatterplot
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import pandas as pd import numpy as np import matplotlib.pylab as plt import seaborn as sns # Create dataframe df = pd.DataFrame({ 'x': [1, 1.5, 3, 4, 5], 'y': [5, 15, 5, 10, 2], 'group': ['A','other group','B','C','D'] }) sns.regplot(data=df, x="x", y="y", fit_reg=False, marker="+", color="skyblue") #sns.plt.show() - Add one annotation
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Once you have the data frame, make the plot, and use the text function to add an annotation. You have to provide the x coordinate first, and the y right after.
# basic plot p1=sns.regplot(data=df, x="x", y="y", fit_reg=False, marker="o", color="skyblue", scatter_kws={'s':400}) # add text annotation p1.text(3+0.2, 4.5, "An annotation", horizontalalignment='left', size='medium', color='black', weight='semibold') #sns.plt.show() - Use a loop to annotate each marker
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If you want to annotate every markers, it is practical to use a loop as follow:
# basic plot p1=sns.regplot(data=df, x="x", y="y", fit_reg=False, marker="o", color="skyblue", scatter_kws={'s':400}) # add annotations one by one with a loop for line in range(0,df.shape[0]): p1.text(df.x[line]+0.2, df.y[line], df.group[line], horizontalalignment='left', size='medium', color='black', weight='semibold') # see it #sns.plt.show()
