[Python] How can I create two 2D Histograms in a single figure with one colorbar?

I am looking to create a figure that has has two 2D histograms in a row with a single colorbar. I can create each 2D histogram individually, but when I attempt to put them side by side things go haywire. I'm guessing I am missing something with matplotlib's subplot functionality.

I am reading the data from a csv file then looking to plot a specific value against the day of the week and week of the year to see changes over time. I would like to have two 2D histograms side by side to see the differences between two values and how they change over the course of a year.

I was expecting the 2D histograms to be side by side. Instead the left spot is blank and the right spot has the histogram I was expecting on the left side.

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from datetime import datetime

xlabels = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
ylabels = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']

df=pd.read_csv("Mod4Data.csv", nrows = 366)

# Convert the day column into a date, month, day of week, and week of year
df["Date"]=df["Day"].apply(pd.to_datetime)
df["Day of Week"]=df["Date"].dt.dayofweek
df['week_of_year'] = df['Date'].dt.strftime('%W')
df['Month'] = df['Date'].dt.month

##Convert string data to floats
df['Value1'] = df['Value1'].astype(float)
df['Value2'] = df['Value2'].astype(float)
df['week_of_year'] = df['week_of_year'].astype(float)

fig, axs = plt.subplots(1, 2, figsize=(18, 10))

axs[0] = plt.hist2d(df["Day of Week"],
df["week_of_year"],
bins=[7,52],
weights=df["Value1"], vmin = 1000, vmax=20000)
plt.title("Value 1 Amounts")
plt.yticks([2, 6.3348, 10.66, 14.99, 19.32, 23.65, 27.98, 32.31, 36.64, 40.97, 45.3, 49.63], ylabels)
plt.xticks([0, 1, 2, 3, 4, 5, 6], xlabels, rotation = 45)


ax2 = plt.hist2d(df["Day of Week"],
df["week_of_year"],
bins=[7,52],
weights=df["Value2"], vmin = 1000, vmax=20000)
plt.title("Value 2 Amounts")
plt.yticks([2, 6.3348, 10.66, 14.99, 19.32, 23.65, 27.98, 32.31, 36.64, 40.97, 45.3, 49.63], ylabels)
plt.xticks([0, 1, 2, 3, 4, 5, 6], xlabels, rotation = 45)

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