TYPESCRIPT

devide the subplot into subplots in mathplotlib

# libraries and data
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*15+range(1,101), 'z_values': (np.random.randn(100)*15+range(1,101))*2 })

# Plot 1
ax1 = plt.subplot2grid((2, 2), (0, 0), colspan=2)
ax1.plot( 'x_values', 'y_values', data=df, marker='o', alpha=0.4)

# Plot 2
ax2 = plt.subplot2grid((2, 2), (1, 0), colspan=1)
ax2.plot( 'x_values','z_values', data=df, marker='o', color="grey", alpha=0.3)

# Plot 3
ax3 = plt.subplot2grid((2, 2), (1, 1), colspan=1)
ax3.plot( 'x_values','z_values', data=df, marker='o', color="orange", alpha=0.3)

# Show the graph
plt.show()

devide the subplot into subplots in mathplotlib

# libraries and data
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*15+range(1,101), 'z_values': (np.random.randn(100)*15+range(1,101))*2 })
 
# 4 columns and 2 rows
# The first plot is on line 1, and is spread all along the 4 columns
ax1 = plt.subplot2grid((2, 4), (0, 0), colspan=4)
ax1.plot( 'x_values', 'y_values', data=df, marker='o', alpha=0.4)

# The second one is on column2, spread on 3 columns
ax2 = plt.subplot2grid((2, 4), (1, 0), colspan=3)
ax2.plot( 'x_values','z_values', data=df, marker='o', color="grey", alpha=0.3)

# The last one is spread on 1 column only, on the 4th column of the second line.
ax3 = plt.subplot2grid((2, 4), (1, 3), colspan=1)
ax3.plot( 'x_values','z_values', data=df, marker='o', color="orange", alpha=0.3)

# Show the graph
plt.show()