Switch the values from x-axis to y-axis while using the correct labels(Python Matplotlib.pyplot OR Seaborn)

Question

I have a small table of information that I'm trying to turn into a histogram. It has one column of Department names and a second column of totals. I would like the x-axis to use the Department names and the y-axis to use the numbers from the totals column. When I try to code it, the x-axis is the totals and the y-axis is a count of how many of those totals fit into the bins.

Title: deptgroups (my dataframe)

department	count
Admin	857
Engineering	26
IT	49
Marketing	16
Operations	1013
Sales	1551

Data as "datagroups.csv"

department,count,
Admin,857,
Engineering,26,
IT,49,
Marketing,16,
Operations,1013,
Sales,1551

plt.hist(x=deptgroups)
plt.show()

Incorrect Graph

I've tried specifying x and y values, but it throws an error. I would like it to look more like this (ish):

Qty	Dept 1	Dept 2
500	XXXXXX	......
400	XXXXXX	......
300	XXXXXX	XXXXXX
200	XXXXXX	XXXXXX
100	XXXXXX	XXXXXX

The original data for example would look like this: |Department | Count| |-----------|------| |Dept 1 | 500 | |Dept 2 | 300 |

Answer 1

I think main confusion is coming from the name of the plot. It's called bar chart, histogram is something else.

import matplotlib.pyplot as plt

data = {
    'Admin': 857,
    'Engineering': 26,
    'IT': 49,
    'Marketing': 16,
    'Operations': 1013,
    'Sales': 1551
}
departments = data.keys()
count = data.values()

# you don't need histogram, you need bar plot
plt.bar(departments, count, color='blue', width=0.4)
plt.xlabel('Department')
plt.ylabel('Count')
plt.show()