Shulou(Shulou.com)06/01 Report--

Today, I would like to share with you how to use python to draw beautiful map posters of the relevant knowledge, detailed content, clear logic, I believe that most people still know too much about this knowledge, so share this article for your reference, I hope you can learn something after reading this article, let's take a look at it.

1 introduction

The Python library prettymaps is very interesting, based on which we can visualize the map of any area of the earth with a given coordinate and range with simple code.

2 making poster-level map quickly by using prettymaps

Unfortunately, prettymaps cannot be installed directly through pip or conda, but it can be installed from the source code repository with pip and git. For domestic users, you can use the following statement to quickly install from the image address of github:

Pip install git+ https://hub.fastgit.org/marceloprates/prettymaps.git

After the installation is complete, if the following statements are executed correctly, congratulations on your installation:

Several ways to use from prettymaps import * 2.1prettymaps

Prettymaps does not need users to prepare their own data, and automatically acquires vector data within the corresponding range from OpenStreetMap as drawing material according to the coordinates and range set by the user. There are mainly several ways to use it:

2.1.1 Circular mode

The simplest drawing mode in prettymaps is "circular mode". We only need to pass in the longitude and latitude coordinates of the center point and the radius (in meters). The following example is from the official sample program. I changed its location to an outward range of 2500 meters from the Shanghai Bund:

From prettymaps import * from matplotlib import pyplot as plt # create bed fig, ax = plt.subplots (figsize = (12,12), constrained_layout = True) layers = plot ((31.23346, 121.492154), # Center coordinates, format: (latitude, longitude) radius = 2500, # Radius ax = ax, # bind bed layers = {'perimeter': {}, # controls drawing mode {}, which is equivalent to circular drawing mode # the following parameters are used to define vector layer features obtained from OsmStreetMap selection If you don't know, you can copy 'streets': {' custom_filter':'["highway" ~ "motorway | trunk | primary | secondary | tertiary | residential | service | unclassified | pedestrian | footway"], 'width': {' motorway': 5, 'trunk': 5,' primary': 4.5, 'secondary': 4 'tertiary': 3,' residential': 3, 'service': 2,' unclassified': 2, 'pedestrian': 2,' footway': 1,}}, 'building': {' tags': {'building': True,' landuse': 'construction'} 'union': False},' water': {'tags': {' natural': ['water',' bay']}, 'green': {' tags': {'landuse':' grass', 'natural': [' island', 'wood'],' leisure': 'park'}},' forest': {'tags': {' landuse': 'forest'}} 'parking': {' tags': {'amenity':' parking', 'highway':' pedestrian', 'man_made':' pier'}}, # the following parameters are used to define the styles of different vector layers in OpenStreetMap If you find it troublesome to copy the following official example directly, you can drawing_kwargs = {'background': {' fc':'# F2F4CBsituation, 'ec':' dadbc1', 'hatch':' ooo...', 'zorder':-1},' perimeter': {'fc':' # F2F4CBbath, 'ec':' # dadbc1', 'lw': 0,' hatch': 'ooo...' 'zorder': 0},' green': {'fc':' # D0F1BFF, 'ec':' # 2F3737, 'lw': 1,' zorder': 1}, 'forest': {' fc':'# 64B96A, 'ec':' # 2F37, 'lw': 1,' zorder': 1}, 'water': {' fc':'# a1e3fficient, 'ec':' # 2F3737' 'hatch':' ooo...', 'hatch_c':' # 85c9e6, 'lw': 1,' zorder': 2}, 'parking': {' fc':'# F2F4CB, 'ec':' # 2F3737, 'lw': 1,' zorder': 3}, 'streets': {' fc':'# 2F3713, 'ec':' # 475657, 'alpha': 1,' lw': 0 'zorder': 3},' building': {'palette': [' # FFC857','# E9724C','# C5283D'], 'ec':' # 2F37signals, 'lw':. 5,' zorder': 4},}, osm_credit = {'color':' # 2F37'}) # Export picture file plt.savefig ('Shanghai Bund-Circle Mode .png', dpi=500)

2.1.2 rounded rectangle mode

In addition to the "circular mode" mentioned above, prettymaps can also use "rounded rectangle mode". You also need to define the coordinate and radius of the center point, and then add a key-value pair {'circle': False,' dilate': fillet radius} for each key-value pair under the parameter layers, in which the fillet radius is numerical. This time, let's go to another place. Take the Imperial Palace as an example, the radius is 600m:

# create bed fig, ax = plt.subplots (figsize = (12,12), constrained_layout = True) dilate = 100layers = plot ((39.91645697864148,116.39077532493388), # Center coordinates, format: (latitude, longitude) radius = 600,# Radius ax = ax, # bind bed layers = {'perimeter': {' circle': False, 'dilate': dilate}, # control drawing mode {}, which is equivalent to circular drawing mode # the following parameters are used to define vector layer features obtained from OsmStreetMap selection If you don't know, you can copy 'streets': {' custom_filter':'["highway" ~ "motorway | trunk | primary | secondary | tertiary | residential | service | unclassified | pedestrian | footway"], 'width': {' motorway': 5, 'trunk': 5,' primary': 4.5, 'secondary': 4 'tertiary': 3,' residential': 3, 'service': 2,' unclassified': 2, 'pedestrian': 2,' footway': 1,}, 'circle': False,' dilate': dilate} 'building': {' tags': {'building': True,' landuse': 'construction'},' union': False, 'circle': False,' dilate': dilate}, 'water': {' tags': {'natural': [' water', 'bay']},' circle': False, 'dilate': dilate},' green': {'tags': {' landuse': 'grass' 'natural': [' island', 'wood'],' leisure': 'park'},' circle': False, 'dilate': dilate},' forest': {'tags': {' landuse': 'forest'},' circle': False, 'dilate': dilate},' parking': {'tags': {' amenity': 'parking',' highway': 'pedestrian',' man_made': 'pier'} The following parameters are used to define the styles of different vector layers in OpenStreetMap: 'circle': False,' dilate': dilate}}, # If you find it troublesome to copy the following official example directly, you can drawing_kwargs = {'background': {' fc':'# F2F4CBsituation, 'ec':' dadbc1', 'hatch':' ooo...', 'zorder':-1},' perimeter': {'fc':' # F2F4CBbath, 'ec':' # dadbc1', 'lw': 0,' hatch': 'ooo...' 'zorder': 0},' green': {'fc':' # D0F1BFF, 'ec':' # 2F3737, 'lw': 1,' zorder': 1}, 'forest': {' fc':'# 64B96A, 'ec':' # 2F37, 'lw': 1,' zorder': 1}, 'water': {' fc':'# a1e3fficient, 'ec':' # 2F3737' 'hatch':' ooo...', 'hatch_c':' # 85c9e6, 'lw': 1,' zorder': 2}, 'parking': {' fc':'# F2F4CB, 'ec':' # 2F3737, 'lw': 1,' zorder': 3}, 'streets': {' fc':'# 2F3713, 'ec':' # 475657, 'alpha': 1,' lw': 0 'zorder': 3},' building': {'palette': [' # FFC857','# E9724C','# C5283D'], 'ec':' # 2F37signals, 'lw':. 5,' zorder': 4},}, osm_credit = {'color':' # 2F37'}) # Export picture file plt.savefig ('Beijing Imperial Palace-rounded rectangle mode .png', dpi=500)

2.1.3 add text content

With such a beautiful and generous art map, we can also add annotation information to the map based on the custom font method in matplotlib. Still take the Shanghai Bund as an example, we use external calligraphy fonts to draw text label information in the center:

Import matplotlib.font_manager as fm # create bed fig, ax = plt.subplots (figsize = (12,12), constrained_layout = True) layers = plot ((31.23346, 121.492154), # center coordinates, format: (latitude, longitude) radius = 2500, # radius ax = ax, # bind bed layers = {'perimeter': {}, # controls drawing mode {}, which is equivalent to circular drawing mode # the following parameters are used to define vector layer features obtained from OsmStreetMap selection If you don't know, you can copy 'streets': {' custom_filter':'["highway" ~ "motorway | trunk | primary | secondary | tertiary | residential | service | unclassified | pedestrian | footway"], 'width': {' motorway': 5, 'trunk': 5,' primary': 4.5, 'secondary': 4 'tertiary': 3,' residential': 3, 'service': 2,' unclassified': 2, 'pedestrian': 2,' footway': 1,}}, 'building': {' tags': {'building': True,' landuse': 'construction'} 'union': False},' water': {'tags': {' natural': ['water',' bay']}, 'green': {' tags': {'landuse':' grass', 'natural': [' island', 'wood'],' leisure': 'park'}},' forest': {'tags': {' landuse': 'forest'}} 'parking': {' tags': {'amenity':' parking', 'highway':' pedestrian', 'man_made':' pier'}}, # the following parameters are used to define the styles of different vector layers in OpenStreetMap If you find it troublesome to copy the following official example directly, you can drawing_kwargs = {'background': {' fc':'# F2F4CBsituation, 'ec':' dadbc1', 'hatch':' ooo...', 'zorder':-1},' perimeter': {'fc':' # F2F4CBbath, 'ec':' # dadbc1', 'lw': 0,' hatch': 'ooo...' 'zorder': 0},' green': {'fc':' # D0F1BFF, 'ec':' # 2F3737, 'lw': 1,' zorder': 1}, 'forest': {' fc':'# 64B96A, 'ec':' # 2F37, 'lw': 1,' zorder': 1}, 'water': {' fc':'# a1e3fficient, 'ec':' # 2F3737' 'hatch':' ooo...', 'hatch_c':' # 85c9e6, 'lw': 1,' zorder': 2}, 'parking': {' fc':'# F2F4CB, 'ec':' # 2F3737, 'lw': 1,' zorder': 3}, 'streets': {' fc':'# 2F3713, 'ec':' # 475657, 'alpha': 1,' lw': 0 'zorder': 3},' building': {'palette': [' # FFC857','# E9724C','# C5283D'], 'ec':' # 2F3737, 'lw':. 5,' zorder': 4},}, osm_credit = {'color':' # 2F3700'}) # add text labels ax.text (0.5,0.5, 'Bund, Shanghai', zorder = 6 Ha='center', va='center', fontsize=120, fontproperties = fm.FontProperties (fname='FZZJ-HLYHXSJW.TTF'), transform=ax.transAxes) # Export picture file plt.savefig ('Shanghai Bund-add text markup .png', dpi=500)

You can find the latitude and longitude coordinates of your place of concern and draw various art maps as much as you can, such as the following landmarks:

These are all the contents of the article "how to make a Beautiful Map poster with python". Thank you for reading! I believe you will gain a lot after reading this article. The editor will update different knowledge for you every day. If you want to learn more knowledge, please pay attention to the industry information channel.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.