Cheat Sheet: Maps, Waffles, WordCloud and Seaborn

Cheat Sheet : Maps, Waffles, WordCloud and Seaborn

Function

Description

Syntax

Example

Visual

Folium
MapCreate a map object with specified center coordinates and zoom level.folium.Map(location=[lat, lon], zoom_start=n)world_map = folium.Map()

canada =folium.Map(location=[56.130, -106.35], zoom_start=4)
MarkerAdd a marker to the map with custom icon, popup, and tiles

Tiles as Stamen Toner		folium.Marker(location=[lat , lon ],
popup='Marker Popup',
tiles='Stamen Toner').add_to(map)		folium.Marker(location=[556.130, -106.35], 
tooltip='Marker',
tiles='Stamen Toner').add_to(world_map)
Tiles as Stamen Terrainfolium.Marker(location=[lat , lon ], 
popup='Marker Popup',
tiles='Stamen Terrain').add_to(map)		folium.Marker(location=[556.130, -106.35], 
tooltip='Marker',
tiles='Stamen Terrain').add_to(world_map)
CircleAdd a circle to the map with specified radius, color, and fill opacity.folium.features.CircleMarker(location=[lat, lon], 
radius=n, color='red', 
fill_opacity=n).add_to(map)		folium.features.CircleMarker(location=[56.130, -106.35], 
radius=1000, color='red', 
fill_opacity=0.5).add_to(world_map)
ChorplethCreate a choropleth map based on a GeoJSON file and a specified data column.folium.Choropleth(geo_data='path/to/geojson_file',
data=df, columns=['region', 'value_column'],
key_on='feature.properties.id', fill_color='YlGnBu', 
fill_opacity=0.7, line_opacity=0.2, 
legend_name='Legend').add_to(map)		world_map.choropleth(geo_data=world_geo, 
data=df_can, columns=['Country', 'Total'],
key_on='feature.properties.name', fill_color='YlOrRd',
fill_opacity=0.7,line_opacity=0.2,
legend_name='Immigration to Canada')
PyWaffle
WaffleCreate a waffle chart based on values and categories.plt.figure(FigureClass = Waffle,rows = 20, columns = 30, values = values)

waffle_chart = waffle.Waffle(values=[value1, value2, ...], 
rows=n, columns=n)		plt.figure(FigureClass = Waffle,rows = 20, columns = 30,
 values = df_dsn['Total'], cmap_name = 'tab20',
legend = {'labels': label,'loc': 'lower left',
'bbox_to_anchor':(0,-0.1),'ncol': 3})
LegendAdd a legend to the waffle chart.waffle_chart.legend(loc='upper left', bbox_to_anchor=(1, 1))
TitleAdd a title to the waffle chart.waffle_chart.set_title('Waffle Chart Title')
LabelsAdd labels to the waffle chart.waffle_chart.set_labels(['Label 1', 'Label 2', ...])
WordCloud
WordCloudCreate a word cloud object based on text data.wordcloud = WordCloud().generate(text_data)alice_wc = WordCloud(background_color='white', max_words=2000, mask=alice_mask, stopwords=stopwords)
alice_wc.generate(alice_novel)
plt.imshow(alice_wc, interpolation='bilinear')
GenerateGenerate the word cloud based on the text data.wordcloud.generate(text_data)
DisplayDisplay the word cloud using matplotlib or other plotting libraries.plt.imshow(wordcloud, interpolation='bilinear')
OptionsSet various options for the word cloud, such as font, colors, mask, and stopwords.wordcloud = WordCloud(font_path='path/to/font_file',
background_color='white',
colormap='Blues', mask=mask_image, 
stopwords=stopwords).generate(text_data)
Seaborn
barplotCreate a bar plot to visualize the relationship between a categorical variable and a numeric variable.sns.barplot(x='x_variable', y='y_variable', data=dataframe)sns.barplot(x='Continent', y='Total', data=df_can1)
countplotCreate a count plot to display the frequency of each category in a categorical variable.sns.countplot(x='category', data=dataframe)sns.countplot(x='Continent', data=df_can)
regplotCreate a scatter plot with a linear regression line to visualize the relationship between two numeric variables.sns.regplot(x='x_variable', 
y='y_variable', data=dataframe)		sns.regplot(x='year', y='total', data=df_tot)

 

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