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How to draw facet grid plot
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How to draw facet grid plot

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import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# comment : I want to catalog warning pattern using standard deviation of line voltage before an apparatus failure
# comment : Use average monthly standard deviation
sns.set(style="ticks")
# Create a dataset with many short random walks (warning)
rs = np.random.RandomState(4)
pos = rs.randint(-1, 2, (20, 12)).cumsum(axis=1)
pos -= pos[:, 0, np.newaxis]
step = np.tile(range(12), 20)
walk = np.repeat(range(20), 12)
df = pd.DataFrame(np.c_[pos.flat, step, walk],
columns=["S_D", "Days", "Warning"])
# Initialize a grid of plots with an Axes for each walk (warning)
grid = sns.FacetGrid(df, col="Warning", hue="Warning", palette="tab20c",
col_wrap=4, height=2.5)
# Draw a horizontal line to show the starting point (days elapsed)
grid.map(plt.axhline, y=0, ls=":", c=".5")
# Draw a line plot to show the trajectory of each random walk (warning)
# step relabel as Days and postion relabel as S_D, Standard_Deviation and walk relabel as Warning
grid.map(plt.plot, "Days", "S_D", marker="o")
# Adjust the tick positions and labels
grid.set(xticks=np.arange(14), yticks=[-3, 3],
xlim=(-.5, 12.5), ylim=(-5.5, 5.5))
# Adjust the arrangement of the plots
grid.fig.tight_layout(w_pad=2)

Your browser does not support the canvas element.
Your browser does not support the canvas element.
Your browser does not support the canvas element.
Your browser does not support the canvas element.




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