slope_graph#
A categorical scatter plot showing the CO2 emissions of selected countries in the years 2000 and 2010. This example demonstrates using the segment glyph.
Details
- Sampledata:
- Bokeh APIs:
- More info:
- Keywords:
segment, scatter
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.sampledata.emissions import data
countries = [
"Trinidad and Tobago",
"Qatar",
"United Arab Emirates",
"Oman",
"Bahrain",
"Singapore",
"Netherlands Antilles",
"Kazakhstan",
"Equatorial Guinea",
"Kuwait",
]
df = data[data["country"].isin(countries)].reset_index(drop=True)
years = (df["year"] == 2000.0) | (df["year"] == 2010.0)
df = df[years].reset_index(drop=True)
df["year"] = df.year.astype(int)
df["year"] = df.year.astype(str)
# create separate columns for the different years
a = df[df["year"] == "2000"]
b = df[df["year"] == "2010"]
new_df = a.merge(b, on="country")
source = ColumnDataSource(new_df)
p = figure(x_range=("2000", "2010"), y_range=(0, 60), x_axis_location="above", y_axis_label="CO2 emissions (tons / person)")
p.scatter(x="year_x", y="emissions_x", source=source, size=7)
p.scatter(x="year_y", y="emissions_y", source=source, size=7)
p.segment(x0="year_x", y0="emissions_x", x1="year_y", y1="emissions_y", source=source, color="black")
p.text(x="year_y", y="emissions_y", text="country", source=source, x_offset=7, y_offset=8, text_font_size="12px")
p.xaxis.major_tick_line_color = None
p.xaxis.major_tick_out = 0
p.xaxis.axis_line_color = None
p.yaxis.minor_tick_out = 0
p.yaxis.major_tick_in = 0
p.yaxis.ticker = [0, 20, 40, 60]
p.grid.grid_line_color = None
p.outline_line_color = None
show(p)