What will you learn in this tutorial?
- Where to find interesting data contained in CSV files.
- How to extract a map to plot the data on.
- Use Python to easily plot the data from the CSV file no the map.
Step 1: Collect the data in CSV format
You can find various interesting data in CSV format on data.world that you can play around with in Python.
In this tutorial we will focus on Shooting Incidents in NYPD from the last year. You can find the data on data.world.

You can download the CSV file containing all the data by pressing on the download link.

Looking at the data you see that each incident has latitude and longitude coordinates.
{'INCIDENT_KEY': '184659172', 'OCCUR_DATE': '06/30/2018 12:00:00 AM', 'OCCUR_TIME': '23:41:00', 'BORO': 'BROOKLYN', 'PRECINCT': '75', 'JURISDICTION_CODE': '0', 'LOCATION_DESC': 'PVT HOUSE ', 'STATISTICAL_MURDER_FLAG': 'false', 'PERP_AGE_GROUP': '', 'PERP_SEX': '', 'PERP_RACE': '', 'VIC_AGE_GROUP': '25-44', 'VIC_SEX': 'M', 'VIC_RACE': 'BLACK', 'X_COORD_CD': '1020263', 'Y_COORD_CD': '184219', 'Latitude': '40.672250312', 'Longitude': '-73.870176252'}
That means we can plot on a map. Let us try to do that.
Step 2: Export a map to plot the data
We want to plot all the shooting incidents on a map. You can use OpenStreetMap to get an image of a map.
We want a map of New York, which you can find by locating it on OpenStreetMap or pressing the link.

You should press the blue Download in the low right corner of the picture.
Also, remember to get the coordinates of the image in the left side bar, we will need them for the plot.
map_box = [-74.4461, -73.5123, 40.4166, 41.0359]
Step 3: Writing the Python code that adds data to the map
Importing data from a CVS file is easy and can be done through the standard library csv. Making plot on a graph can be done in matplotlib. If you do not have it installed already, you can do that by typing the following in a command line (or see here).
pip install matplotlib
First you need to transform the CVS data of the longitude and latitude to floats.
import csv
# The name of the input file might need to be adjusted, or the location needs to be added if it is not located in the same folder as this file.
csv_file = open('nypd-shooting-incident-data-year-to-date-1.csv')
csv_reader = csv.DictReader(csv_file)
longitude = []
latitude = []
for row in csv_reader:
longitude.append(float(row['Longitude']))
latitude.append(float(row['Latitude']))
Now you have two lists (longitude and latitude), which contains the coordinates to plot.
Then for the actual plotting into the image.
import matplotlib.pyplot as plt
# The boundaries of the image map
map_box = [-74.4461, -73.5123, 40.4166, 41.0359]
# The name of the image of the New York map might be different.
map_img = plt.imread('map.png')
fig, ax = plt.subplots()
ax.scatter(longitude, latitude)
ax.set_ylim(map_box[2], map_box[3])
ax.set_xlim(map_box[0], map_box[1])
ax.imshow(map_img, extent=map_box, alpha=0.9)
plt.savefig("mad_mod.png")
plt.show()
This will result in the following beautiful map of New York, which highlights where the shooting in the last year has occurred.

Now that is awesome. If you want to learn more, this and more is covered in my online course. Check it out.
You can also read about how to plot the mood of tweets on a leaflet map.
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