I am new for coding and would appreciate any help on the following issue. I have plotted two data frames inside the same axis. Now I am trying to break axis at two places. X axis at (500-750,100-1250) and y axis at (1500-2000, 3000-3500). I have seen examples on how to do this for a single data frame (https://matplotlib.org/3.1.0/gallery/subplots_axes_and_figures/broken_axis.html) but I want to know how to do this when plotting two data frames on the same axis.
my code;
from matplotlib import pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd
import plotly.express as px
df1 =pd.read_csv('path_to/WT.csv')
df2 =pd.read_csv('path_to/WTKD.csv')
ax=df1['sum'].plot(legend=False, grid=True, figsize=(12,10), kind='line', color='green')
df2['sum'].plot(legend=False, grid=False,ax=ax, color='orange')
how data frame looks like. I am plotting the sum column
1_1 1_2 2_1 2_2 sum
0 0.877666 2.323487 0.125786 0.751880 4.078818
1 2.305221 28.387401 96.747408 37.238366 164.678396
2 20.166748 47.587124 103.465928 48.781475 220.001274
3 20.434662 48.751884 103.662778 49.175176 222.024500
4 21.186542 49.503763 103.662778 49.175176 223.528260
... ... ... ... ... ...
1900 18.162730 0.367454 0.104987 0.000000 18.635171
1901 18.162730 0.367454 0.104987 0.000000 18.635171
1902 18.162730 0.367454 0.104987 0.000000 18.635171
1903 18.162730 0.367454 0.104987 0.000000 18.635171
1904 18.162730 0.367454 0.104987 0.000000 18.635171
1905 rows × 5 columns
