Creating A Subplot Instead Of Separate Plots

I have the following dataframe: symbol aaa bbb ccc ddd eee fff ggg aaa bbb -0.001 ccc

Solution 1:

Did you try

fig, axes = plt.subplots(2)

plt.subplot2grid((1,5), (0,0), colspan=3)
# here plot something

plt.subplot2grid((1,5), (0,3), colspan=2)
# here plot something

plt.show()

for example

import matplotlib.pyplot as plt

fig, axes = plt.subplots(2)

plt.subplot2grid((1,5), (0,0), colspan=3)
plt.plot([1,2,3]) # plot something

plt.subplot2grid((1,5), (0,3), colspan=2)
plt.plot([1,2,1]) # plot something

plt.show()

---

EDIT:

import pandas as pd
import numpy as np

def plot_bar(corr_df):

    dfstacked = corr_df.stack().order()
    dfstacked.plot(kind='bar', rot=60)

def plot_heatmap(corr_df):

    corr_df = corr_df.fillna(value=0)
    plt.pcolormesh(corr_df.values, cmap=plt.cm.Blues)
    plt.yticks(np.arange(0.5, len(corr_df.index), 1), corr_df.index)
    plt.xticks(np.arange(0.5, len(corr_df.columns), 1), corr_df.columns)


df = pd.DataFrame(range(10))

fig, axes = plt.subplots(2)

plt.subplot2grid((1,5), (0,0), colspan=3)
plot_bar(df)

plt.subplot2grid((1,5), (0,3), colspan=2)
plot_heatmap(df)

plt.show()