Simple Map plot using Shapefile

Dataset

Load dataset

First, we load a dataset containing the names of locations in New York, their coordinates, and a random number assigned to each row as a value.

df = pd.read_csv(r'..\map\nyc\coded_locs.csv',names=['name','latitude','longitude'])

df['ran'] = np.random.randint(1, 17, df.shape[0])

load shape file

Next, we load or provide the path to the shapefile.

shape = r'..\map\nyc\geo_export_82ac2965-ee41-4025-a13c-a89394b58021.shp'

The Code

By calling maps.map_shape, we can plot the locations in New York based on their coordinates and use the shapefile to add map features.

maps.map_shape(df,shape,'ran',col_loc=['longitude','latitude'],title='map')

This function requires the following parameters:

• main_data (dataframe): Data location and value
• shape (string): Shapefile
• col_val (string): Column name of targeted value
• col_loc (list): Two column names of location ['longitude', 'latitude']
• title (string): Title
• footnote (string): Footnote

The result